{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1529670-a607-4e93-9430-2a371f14e87e",
   "metadata": {},
   "source": [
    "# ClimateDISK: Hockey stick\n",
    "\n",
    "This notebook attempts to follow the WINGS steps necessary to reproduce the hockey stick figure (and allow for upgrades as new data becomes available).\n",
    "\n",
    "Let's first import our favorite packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9925a6c1-3746-4301-b97a-297c77896a5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import requests\n",
    "import pandas as pd\n",
    "import io\n",
    "import ast\n",
    "import numpy as np\n",
    "import pyleoclim as pyleo\n",
    "import seaborn as sns\n",
    "import cfr as cfr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9efe2d2e-6466-4d7f-99e3-8d4a2180266f",
   "metadata": {},
   "source": [
    "## Step 1: Data query\n",
    "\n",
    "For now let's query the LiPDverse v3 graph directly. For ClimateDisk, we may need to return the datasets URL, send the datasets to WINGS and use PyLiPD in the first component to produce the DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "eb676382-f4a3-49b3-99db-e52ece309fc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://linkedearth.graphdb.mint.isi.edu/repositories/LiPDVerse3'\n",
    "\n",
    "query = \"\"\"PREFIX le: <http://linked.earth/ontology#>\n",
    "PREFIX wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#>\n",
    "\n",
    "\n",
    "SELECT ?dataSetName ?archiveType ?geo_meanLat ?geo_meanLon ?geo_meanElev \n",
    "    ?paleoData_variableName ?paleoData_values ?paleoData_units \n",
    "    ?paleoData_proxy ?paleoData_proxyGeneral ?time_variableName ?time_values \n",
    "\t?time_units ?compilationName ?TSID ?QAlabel where{\n",
    "    \n",
    "    ?ds a le:Dataset .\n",
    "    ?ds le:name ?dataSetName .\n",
    "    OPTIONAL{?ds le:proxyArchiveType ?archiveType .}\n",
    "    \n",
    "    ?ds le:collectedFrom ?loc .\n",
    "    ?loc wgs84:lat ?geo_meanLat .\n",
    "    ?loc wgs84:long ?geo_meanLon .\n",
    "    OPTIONAL {?loc wgs84:alt ?geo_meanElev .}\n",
    "    \n",
    "    ?ds le:includesPaleoData ?data .\n",
    "    ?data le:foundInMeasurementTable ?table .\n",
    "    ?table le:includesVariable ?var . \n",
    "    ?var le:name ?paleoData_variableName .\n",
    "    ?var le:hasValues ?paleoData_values .\n",
    "    OPTIONAL{?var le:hasUnits ?paleoData_units .}\n",
    "    OPTIONAL{?var le:proxy ?paleoData_proxy .}\n",
    "    OPTIONAL{?var le:proxyGeneral ?paleoData_proxyGeneral .}\n",
    "    ?var le:partOfCompilation ?compilation . \n",
    "    ?compilation le:name ?compilationName .\n",
    "    VALUES ?compilationName {\"iso2k\" \"Pages2kTemperature\"} .\n",
    "    ?var le:useInGlobalTemperatureAnalysis ?QAlabel .\n",
    "    FILTER (?QAlabel = True || regex(?QAlabel, \"True.*\", \"i\")) .\n",
    "    \n",
    "    OPTIONAL{?var le:hasVariableID ?TSID} .\n",
    "    \n",
    "    \n",
    "    ?table le:includesVariable ?timevar .\n",
    "    ?timevar le:name ?time_variableName .\n",
    "    FILTER (regex(?time_variableName, \"year.*\")).\n",
    "    ?timevar le:hasValues ?time_values .\n",
    "    OPTIONAL{?timevar le:hasUnits ?time_units .}\n",
    "    \n",
    "}\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "01cc946f-c1ab-4a75-9807-7a452591194f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dataSetName</th>\n",
       "      <th>archiveType</th>\n",
       "      <th>geo_meanLat</th>\n",
       "      <th>geo_meanLon</th>\n",
       "      <th>geo_meanElev</th>\n",
       "      <th>paleoData_variableName</th>\n",
       "      <th>paleoData_values</th>\n",
       "      <th>paleoData_units</th>\n",
       "      <th>paleoData_proxy</th>\n",
       "      <th>paleoData_proxyGeneral</th>\n",
       "      <th>time_variableName</th>\n",
       "      <th>time_values</th>\n",
       "      <th>time_units</th>\n",
       "      <th>compilationName</th>\n",
       "      <th>TSID</th>\n",
       "      <th>QAlabel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LS16STCL</td>\n",
       "      <td>LakeSediment</td>\n",
       "      <td>50.830</td>\n",
       "      <td>-116.39</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>LPD7dc5b9ba</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CO00URMA</td>\n",
       "      <td>Coral</td>\n",
       "      <td>0.933</td>\n",
       "      <td>173.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_177</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CO00URMA</td>\n",
       "      <td>Coral</td>\n",
       "      <td>0.933</td>\n",
       "      <td>173.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_177</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CO00URMA</td>\n",
       "      <td>Coral</td>\n",
       "      <td>0.933</td>\n",
       "      <td>173.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_177</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CO05KUBE</td>\n",
       "      <td>Coral</td>\n",
       "      <td>32.467</td>\n",
       "      <td>-64.70</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_105</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dataSetName   archiveType  geo_meanLat  geo_meanLon  geo_meanElev  \\\n",
       "0    LS16STCL  LakeSediment       50.830      -116.39        1126.0   \n",
       "1    CO00URMA         Coral        0.933       173.00           6.0   \n",
       "2    CO00URMA         Coral        0.933       173.00           6.0   \n",
       "3    CO00URMA         Coral        0.933       173.00           6.0   \n",
       "4    CO05KUBE         Coral       32.467       -64.70         -12.0   \n",
       "\n",
       "  paleoData_variableName                                   paleoData_values  \\\n",
       "0                   d18O  [-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....   \n",
       "1                   d18O  [-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....   \n",
       "2                   d18O  [-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....   \n",
       "3                   d18O  [-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....   \n",
       "4                   d18O  [-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....   \n",
       "\n",
       "  paleoData_units paleoData_proxy  paleoData_proxyGeneral time_variableName  \\\n",
       "0          permil            d18O                     NaN              year   \n",
       "1          permil            d18O                     NaN              year   \n",
       "2          permil            d18O                     NaN              year   \n",
       "3          permil            d18O                     NaN              year   \n",
       "4          permil            d18O                     NaN              year   \n",
       "\n",
       "                                         time_values time_units  \\\n",
       "0  [2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....         AD   \n",
       "1  [1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...         AD   \n",
       "2  [1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...         AD   \n",
       "3  [1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...         AD   \n",
       "4  [1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...         AD   \n",
       "\n",
       "  compilationName           TSID  QAlabel  \n",
       "0           iso2k    LPD7dc5b9ba     True  \n",
       "1           iso2k  Ocean2kHR_177     True  \n",
       "2           iso2k  Ocean2kHR_177     True  \n",
       "3           iso2k  Ocean2kHR_177     True  \n",
       "4           iso2k  Ocean2kHR_105     True  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response = requests.post(url, data = {'query': query})\n",
    "\n",
    "data = io.StringIO(response.text)\n",
    "df = pd.read_csv(data, sep=\",\")\n",
    "\n",
    "df['paleoData_values']=df['paleoData_values'].apply(lambda row : json.loads(row) if isinstance(row, str) else row)\n",
    "df['time_values']=df['time_values'].apply(lambda row : json.loads(row) if isinstance(row, str) else row)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ee12b8a9-e5c5-40b7-93f3-4e4fee24494c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The number of records is 656'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"The number of records is \"+str(len(df.index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "06f22d82-d234-47da-972d-f62137f601c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['QAlabel'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1b689b64-9600-4bf4-bf6c-d83acf522f3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dataSetName', 'archiveType', 'geo_meanLat', 'geo_meanLon',\n",
       "       'geo_meanElev', 'paleoData_variableName', 'paleoData_values',\n",
       "       'paleoData_units', 'paleoData_proxy', 'paleoData_proxyGeneral',\n",
       "       'time_variableName', 'time_values', 'time_units', 'compilationName',\n",
       "       'TSID'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a16a86df-90fe-4e3b-9d23-2e157fbbe882",
   "metadata": {},
   "source": [
    "## Step 2: Remove duplicate rows\n",
    "\n",
    "To be considered a duplicate:\n",
    "1. Have the same `TSID`\n",
    "2. Have the same `paleoData_variableName`\n",
    "3. Have the same `paleoData_values`\n",
    "4. Have the same `time_values`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6f936926-eb7c-4eae-9590-86662b8c6684",
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_duplicate(row1,row2):\n",
    "    if row1['TSID']==row2['TSID']:\n",
    "        if row1['paleoData_variableName']==row2['paleoData_variableName']:\n",
    "            if len(row1['paleoData_values']) != len(row2['paleoData_values']):\n",
    "                equal=False\n",
    "            else:\n",
    "                if np.allclose(row1['paleoData_values'], row2['paleoData_values'], atol=0.001)==True:\n",
    "                    if len(row1['time_values']) != len(row2['time_values']):\n",
    "                        equal=False\n",
    "                    else:\n",
    "                        if np.allclose(row1['time_values'], row2['time_values'], atol=0.001)==True:\n",
    "                            equal = True\n",
    "                        else: equal=False\n",
    "                else:\n",
    "                    equal=False\n",
    "        else:\n",
    "            equal=False    \n",
    "    else:\n",
    "        equal = False\n",
    "    return equal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "911b0829-97d8-4ab0-b0c2-50c433653f7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "tsid = df['TSID'].unique()\n",
    "\n",
    "idx_list = []\n",
    "\n",
    "for item in tsid:\n",
    "    df1=df[df['TSID']==item]\n",
    "    if len(df1.index)>1:\n",
    "        comp = df1.iloc[0]\n",
    "        df2 = df1.iloc[1:]\n",
    "\n",
    "        for index, row in df2.iterrows():\n",
    "            if is_duplicate(comp,row)==True:\n",
    "                idx_list.append(index)\n",
    "\n",
    "df_nodup = df.drop(idx_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e41208eb-7fa3-4627-96ec-aa5ce912c304",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'There is now 612 timeseries available.'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"There is now \"+ str(len(df_nodup.index)) + \" timeseries available.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "282537b1-6e9e-44e1-93f8-b85236cade2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dataSetName', 'archiveType', 'geo_meanLat', 'geo_meanLon',\n",
       "       'geo_meanElev', 'paleoData_variableName', 'paleoData_values',\n",
       "       'paleoData_units', 'paleoData_proxy', 'paleoData_proxyGeneral',\n",
       "       'time_variableName', 'time_values', 'time_units', 'compilationName',\n",
       "       'TSID'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nodup.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3f02d093-26cd-49a6-b3f9-63744a89b614",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_metadata = df_nodup.filter(['dataSetName','archiveType','geo_meanLat', 'geo_meanLon', 'geo_meanElev','paleoData_variableName','paleoData_units','paleoData_proxy','paleoData_proxyGeneral','time_variableName',' time_units','compilationName','TSID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "deb83063-ef72-43d4-8696-6346f05008f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dataSetName', 'archiveType', 'geo_meanLat', 'geo_meanLon',\n",
       "       'geo_meanElev', 'paleoData_variableName', 'paleoData_units',\n",
       "       'paleoData_proxy', 'paleoData_proxyGeneral', 'time_variableName',\n",
       "       'compilationName', 'TSID'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_metadata.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e03ecb6f-b4e2-4177-b218-42987d762709",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_metadata.to_csv('metadata.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "483e0928-3afd-4041-adb5-2625dc6e6ec8",
   "metadata": {},
   "source": [
    "## Step 4: Slice for the time frame of interest\n",
    "\n",
    "We can use Pyleoclim to do this for us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "79bbc7b6-64f2-448c-b158-a1b2cc7a376e",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_slice = []\n",
    "value_slice = []\n",
    "\n",
    "for _,row in df_nodup.iterrows():\n",
    "    ts=pyleo.Series(time = row['time_values'],\n",
    "                    value = row ['paleoData_values'],\n",
    "                    time_name = row ['time_variableName'],\n",
    "                    time_unit = row ['time_units'],\n",
    "                    value_name = row ['paleoData_variableName'],\n",
    "                    value_unit = row['paleoData_units'], verbose=False)\n",
    "    ts_slice = ts.slice([0,2000])\n",
    "    time_slice.append(ts_slice.time)\n",
    "    value_slice.append(ts_slice.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "458f1f57-7251-4c18-a25c-006000e8e3de",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_nodup['time_values_slice']=time_slice\n",
    "df_nodup['paleoData_values_slice'] = value_slice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5c2a5714-5fb2-44fe-a369-681c4bba6e39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dataSetName</th>\n",
       "      <th>archiveType</th>\n",
       "      <th>geo_meanLat</th>\n",
       "      <th>geo_meanLon</th>\n",
       "      <th>geo_meanElev</th>\n",
       "      <th>paleoData_variableName</th>\n",
       "      <th>paleoData_values</th>\n",
       "      <th>paleoData_units</th>\n",
       "      <th>paleoData_proxy</th>\n",
       "      <th>paleoData_proxyGeneral</th>\n",
       "      <th>time_variableName</th>\n",
       "      <th>time_values</th>\n",
       "      <th>time_units</th>\n",
       "      <th>compilationName</th>\n",
       "      <th>TSID</th>\n",
       "      <th>time_values_slice</th>\n",
       "      <th>paleoData_values_slice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LS16STCL</td>\n",
       "      <td>LakeSediment</td>\n",
       "      <td>50.8300</td>\n",
       "      <td>-116.3900</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>LPD7dc5b9ba</td>\n",
       "      <td>[0.299999999999955, 2.90000000000009, 5.700000...</td>\n",
       "      <td>[-5.36, -5.34, -5.12, -5.19, -5.34, -5.32, -6....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CO00URMA</td>\n",
       "      <td>Coral</td>\n",
       "      <td>0.9330</td>\n",
       "      <td>173.0000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_177</td>\n",
       "      <td>[1840.0, 1840.17, 1840.33, 1840.5, 1840.67, 18...</td>\n",
       "      <td>[-4.6914, -4.7834, -4.5927, -4.3615, -4.315, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CO05KUBE</td>\n",
       "      <td>Coral</td>\n",
       "      <td>32.4670</td>\n",
       "      <td>-64.7000</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_105</td>\n",
       "      <td>[1825.21, 1825.29, 1825.38, 1825.46, 1825.54, ...</td>\n",
       "      <td>[-3.1, -3.2, -3.37, -3.79, -3.94, -3.88, -3.74...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>IC13THQU</td>\n",
       "      <td>GlacierIce</td>\n",
       "      <td>-13.9333</td>\n",
       "      <td>-70.8333</td>\n",
       "      <td>5670.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-18.5905, -16.3244, -16.2324, -17.0112, -18.6...</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[2009, 2008, 2007, 2006, 2005, 2004, 2003, 200...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>SAm_035</td>\n",
       "      <td>[226.0, 227.0, 228.0, 229.0, 230.0, 231.0, 232...</td>\n",
       "      <td>[-18.12, -17.48, -17.33, -17.84, -18.45, -18.8...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CO01TUNG</td>\n",
       "      <td>Coral</td>\n",
       "      <td>-5.2170</td>\n",
       "      <td>145.8170</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.827, -4.786, -4.693, -4.852, -4.991, -4.90...</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1993.042, 1992.792, 1992.542, 1992.292, 1992....</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_140</td>\n",
       "      <td>[1880.792, 1881.042, 1881.292, 1881.542, 1881....</td>\n",
       "      <td>[-4.801, -4.94, -4.906, -4.792, -4.923, -5.023...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dataSetName   archiveType  geo_meanLat  geo_meanLon  geo_meanElev   \n",
       "0    LS16STCL  LakeSediment      50.8300    -116.3900        1126.0  \\\n",
       "1    CO00URMA         Coral       0.9330     173.0000           6.0   \n",
       "4    CO05KUBE         Coral      32.4670     -64.7000         -12.0   \n",
       "5    IC13THQU    GlacierIce     -13.9333     -70.8333        5670.0   \n",
       "6    CO01TUNG         Coral      -5.2170     145.8170          -3.0   \n",
       "\n",
       "  paleoData_variableName                                   paleoData_values   \n",
       "0                   d18O  [-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....  \\\n",
       "1                   d18O  [-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....   \n",
       "4                   d18O  [-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....   \n",
       "5                   d18O  [-18.5905, -16.3244, -16.2324, -17.0112, -18.6...   \n",
       "6                   d18O  [-4.827, -4.786, -4.693, -4.852, -4.991, -4.90...   \n",
       "\n",
       "  paleoData_units paleoData_proxy  paleoData_proxyGeneral time_variableName   \n",
       "0          permil            d18O                     NaN              year  \\\n",
       "1          permil            d18O                     NaN              year   \n",
       "4          permil            d18O                     NaN              year   \n",
       "5          permil            d18O                     NaN              year   \n",
       "6          permil            d18O                     NaN              year   \n",
       "\n",
       "                                         time_values time_units   \n",
       "0  [2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....         AD  \\\n",
       "1  [1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...         AD   \n",
       "4  [1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...         AD   \n",
       "5  [2009, 2008, 2007, 2006, 2005, 2004, 2003, 200...         AD   \n",
       "6  [1993.042, 1992.792, 1992.542, 1992.292, 1992....         AD   \n",
       "\n",
       "  compilationName           TSID   \n",
       "0           iso2k    LPD7dc5b9ba  \\\n",
       "1           iso2k  Ocean2kHR_177   \n",
       "4           iso2k  Ocean2kHR_105   \n",
       "5           iso2k        SAm_035   \n",
       "6           iso2k  Ocean2kHR_140   \n",
       "\n",
       "                                   time_values_slice   \n",
       "0  [0.299999999999955, 2.90000000000009, 5.700000...  \\\n",
       "1  [1840.0, 1840.17, 1840.33, 1840.5, 1840.67, 18...   \n",
       "4  [1825.21, 1825.29, 1825.38, 1825.46, 1825.54, ...   \n",
       "5  [226.0, 227.0, 228.0, 229.0, 230.0, 231.0, 232...   \n",
       "6  [1880.792, 1881.042, 1881.292, 1881.542, 1881....   \n",
       "\n",
       "                              paleoData_values_slice  \n",
       "0  [-5.36, -5.34, -5.12, -5.19, -5.34, -5.32, -6....  \n",
       "1  [-4.6914, -4.7834, -4.5927, -4.3615, -4.315, -...  \n",
       "4  [-3.1, -3.2, -3.37, -3.79, -3.94, -3.88, -3.74...  \n",
       "5  [-18.12, -17.48, -17.33, -17.84, -18.45, -18.8...  \n",
       "6  [-4.801, -4.94, -4.906, -4.792, -4.923, -5.023...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nodup.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95674975-9025-4040-99f4-b76773576a10",
   "metadata": {},
   "source": [
    "## Step 4: Gaussianize\n",
    "\n",
    "Let's have Pyleoclim help us with that"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f30f3ae4-5843-49b8-89c6-114581b8242d",
   "metadata": {},
   "outputs": [],
   "source": [
    "value_gaussianize = []\n",
    "\n",
    "for _,row in df_nodup.iterrows():\n",
    "    ts=pyleo.Series(time = row['time_values_slice'],\n",
    "                    value = row ['paleoData_values_slice'],\n",
    "                    time_name = row ['time_variableName'],\n",
    "                    time_unit = row ['time_units'],\n",
    "                    value_name = row ['paleoData_variableName'],\n",
    "                    value_unit = row['paleoData_units'], verbose=False)\n",
    "    ts_g = ts.gaussianize()\n",
    "    value_gaussianize.append(ts_g.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "966b06d1-c8cf-49b3-b4ad-12c2dc40a876",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_nodup['paleoData_values_slice_gauss'] = value_gaussianize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5ea7f601-96d1-4fd3-ae2e-633407fb8c0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dataSetName</th>\n",
       "      <th>archiveType</th>\n",
       "      <th>geo_meanLat</th>\n",
       "      <th>geo_meanLon</th>\n",
       "      <th>geo_meanElev</th>\n",
       "      <th>paleoData_variableName</th>\n",
       "      <th>paleoData_values</th>\n",
       "      <th>paleoData_units</th>\n",
       "      <th>paleoData_proxy</th>\n",
       "      <th>paleoData_proxyGeneral</th>\n",
       "      <th>time_variableName</th>\n",
       "      <th>time_values</th>\n",
       "      <th>time_units</th>\n",
       "      <th>compilationName</th>\n",
       "      <th>TSID</th>\n",
       "      <th>time_values_slice</th>\n",
       "      <th>paleoData_values_slice</th>\n",
       "      <th>paleoData_values_slice_gauss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LS16STCL</td>\n",
       "      <td>LakeSediment</td>\n",
       "      <td>50.8300</td>\n",
       "      <td>-116.3900</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>LPD7dc5b9ba</td>\n",
       "      <td>[0.299999999999955, 2.90000000000009, 5.700000...</td>\n",
       "      <td>[-5.36, -5.34, -5.12, -5.19, -5.34, -5.32, -6....</td>\n",
       "      <td>[-0.2130875894530718, -0.17422655914690632, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CO00URMA</td>\n",
       "      <td>Coral</td>\n",
       "      <td>0.9330</td>\n",
       "      <td>173.0000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_177</td>\n",
       "      <td>[1840.0, 1840.17, 1840.33, 1840.5, 1840.67, 18...</td>\n",
       "      <td>[-4.6914, -4.7834, -4.5927, -4.3615, -4.315, -...</td>\n",
       "      <td>[-0.9811705980359124, -1.2651460843379647, -0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CO05KUBE</td>\n",
       "      <td>Coral</td>\n",
       "      <td>32.4670</td>\n",
       "      <td>-64.7000</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_105</td>\n",
       "      <td>[1825.21, 1825.29, 1825.38, 1825.46, 1825.54, ...</td>\n",
       "      <td>[-3.1, -3.2, -3.37, -3.79, -3.94, -3.88, -3.74...</td>\n",
       "      <td>[1.328615981030611, 0.9458448462285661, 0.4131...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>IC13THQU</td>\n",
       "      <td>GlacierIce</td>\n",
       "      <td>-13.9333</td>\n",
       "      <td>-70.8333</td>\n",
       "      <td>5670.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-18.5905, -16.3244, -16.2324, -17.0112, -18.6...</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[2009, 2008, 2007, 2006, 2005, 2004, 2003, 200...</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>SAm_035</td>\n",
       "      <td>[226.0, 227.0, 228.0, 229.0, 230.0, 231.0, 232...</td>\n",
       "      <td>[-18.12, -17.48, -17.33, -17.84, -18.45, -18.8...</td>\n",
       "      <td>[-0.24533483270695292, 0.3501885714345531, 0.5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CO01TUNG</td>\n",
       "      <td>Coral</td>\n",
       "      <td>-5.2170</td>\n",
       "      <td>145.8170</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>d18O</td>\n",
       "      <td>[-4.827, -4.786, -4.693, -4.852, -4.991, -4.90...</td>\n",
       "      <td>permil</td>\n",
       "      <td>d18O</td>\n",
       "      <td>NaN</td>\n",
       "      <td>year</td>\n",
       "      <td>[1993.042, 1992.792, 1992.542, 1992.292, 1992....</td>\n",
       "      <td>AD</td>\n",
       "      <td>iso2k</td>\n",
       "      <td>Ocean2kHR_140</td>\n",
       "      <td>[1880.792, 1881.042, 1881.292, 1881.542, 1881....</td>\n",
       "      <td>[-4.801, -4.94, -4.906, -4.792, -4.923, -5.023...</td>\n",
       "      <td>[0.7315480859971977, 0.03064136195287292, 0.21...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dataSetName   archiveType  geo_meanLat  geo_meanLon  geo_meanElev   \n",
       "0    LS16STCL  LakeSediment      50.8300    -116.3900        1126.0  \\\n",
       "1    CO00URMA         Coral       0.9330     173.0000           6.0   \n",
       "4    CO05KUBE         Coral      32.4670     -64.7000         -12.0   \n",
       "5    IC13THQU    GlacierIce     -13.9333     -70.8333        5670.0   \n",
       "6    CO01TUNG         Coral      -5.2170     145.8170          -3.0   \n",
       "\n",
       "  paleoData_variableName                                   paleoData_values   \n",
       "0                   d18O  [-7.81, -5.91, -9.03, -5.35, -5.61, -5.98, -5....  \\\n",
       "1                   d18O  [-4.8011, -4.725, -4.6994, -4.86, -5.0886, -5....   \n",
       "4                   d18O  [-4.15, -3.66, -3.69, -4.07, -3.95, -4.12, -3....   \n",
       "5                   d18O  [-18.5905, -16.3244, -16.2324, -17.0112, -18.6...   \n",
       "6                   d18O  [-4.827, -4.786, -4.693, -4.852, -4.991, -4.90...   \n",
       "\n",
       "  paleoData_units paleoData_proxy  paleoData_proxyGeneral time_variableName   \n",
       "0          permil            d18O                     NaN              year  \\\n",
       "1          permil            d18O                     NaN              year   \n",
       "4          permil            d18O                     NaN              year   \n",
       "5          permil            d18O                     NaN              year   \n",
       "6          permil            d18O                     NaN              year   \n",
       "\n",
       "                                         time_values time_units   \n",
       "0  [2009.0, 2008.3, 2007.8, 2007.4, 2007.0, 2006....         AD  \\\n",
       "1  [1994.5, 1994.33, 1994.17, 1994.0, 1993.83, 19...         AD   \n",
       "4  [1983.21, 1983.13, 1983.04, 1982.96, 1982.88, ...         AD   \n",
       "5  [2009, 2008, 2007, 2006, 2005, 2004, 2003, 200...         AD   \n",
       "6  [1993.042, 1992.792, 1992.542, 1992.292, 1992....         AD   \n",
       "\n",
       "  compilationName           TSID   \n",
       "0           iso2k    LPD7dc5b9ba  \\\n",
       "1           iso2k  Ocean2kHR_177   \n",
       "4           iso2k  Ocean2kHR_105   \n",
       "5           iso2k        SAm_035   \n",
       "6           iso2k  Ocean2kHR_140   \n",
       "\n",
       "                                   time_values_slice   \n",
       "0  [0.299999999999955, 2.90000000000009, 5.700000...  \\\n",
       "1  [1840.0, 1840.17, 1840.33, 1840.5, 1840.67, 18...   \n",
       "4  [1825.21, 1825.29, 1825.38, 1825.46, 1825.54, ...   \n",
       "5  [226.0, 227.0, 228.0, 229.0, 230.0, 231.0, 232...   \n",
       "6  [1880.792, 1881.042, 1881.292, 1881.542, 1881....   \n",
       "\n",
       "                              paleoData_values_slice   \n",
       "0  [-5.36, -5.34, -5.12, -5.19, -5.34, -5.32, -6....  \\\n",
       "1  [-4.6914, -4.7834, -4.5927, -4.3615, -4.315, -...   \n",
       "4  [-3.1, -3.2, -3.37, -3.79, -3.94, -3.88, -3.74...   \n",
       "5  [-18.12, -17.48, -17.33, -17.84, -18.45, -18.8...   \n",
       "6  [-4.801, -4.94, -4.906, -4.792, -4.923, -5.023...   \n",
       "\n",
       "                        paleoData_values_slice_gauss  \n",
       "0  [-0.2130875894530718, -0.17422655914690632, 0....  \n",
       "1  [-0.9811705980359124, -1.2651460843379647, -0....  \n",
       "4  [1.328615981030611, 0.9458448462285661, 0.4131...  \n",
       "5  [-0.24533483270695292, 0.3501885714345531, 0.5...  \n",
       "6  [0.7315480859971977, 0.03064136195287292, 0.21...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nodup.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cc9bd0c-a1e4-42dc-9f62-978eb5b4e54b",
   "metadata": {},
   "source": [
    "## Step 5: Create the composite\n",
    "\n",
    "### Step 5a: Clean up the proxy/variable names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "51ffc940-502c-46f3-a03d-7ccfcfad3030",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>archiveType</th>\n",
       "      <th>paleoData_variableName</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Coral</td>\n",
       "      <td>d18O</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GlacierIce</td>\n",
       "      <td>d18O</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LakeSediment</td>\n",
       "      <td>d18O</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LakeSediment</td>\n",
       "      <td>d2H</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sclerosponge</td>\n",
       "      <td>d18O</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bivalve</td>\n",
       "      <td>d18O</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>borehole</td>\n",
       "      <td>temperature</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>coral</td>\n",
       "      <td>Sr_Ca</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>coral</td>\n",
       "      <td>calcification</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>coral</td>\n",
       "      <td>composite</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>coral</td>\n",
       "      <td>d18O</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>coral</td>\n",
       "      <td>temperature</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>documents</td>\n",
       "      <td>temperature</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>glacier ice</td>\n",
       "      <td>d18O</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>glacier ice</td>\n",
       "      <td>dD</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>hybrid</td>\n",
       "      <td>temperature</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>lake sediment</td>\n",
       "      <td>RABD660_670</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>lake sediment</td>\n",
       "      <td>X_radiograph_dark_layer</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>lake sediment</td>\n",
       "      <td>temperature</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lake sediment</td>\n",
       "      <td>thickness</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>marine sediment</td>\n",
       "      <td>d18O</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>marine sediment</td>\n",
       "      <td>temperature</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>sclerosponge</td>\n",
       "      <td>Sr_Ca</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>sclerosponge</td>\n",
       "      <td>d18O</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>speleothem</td>\n",
       "      <td>d18O</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>tree</td>\n",
       "      <td>MXD</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>tree</td>\n",
       "      <td>density</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>tree</td>\n",
       "      <td>temperature</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>tree</td>\n",
       "      <td>trsgi</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        archiveType   paleoData_variableName  count\n",
       "0             Coral                     d18O     45\n",
       "1        GlacierIce                     d18O      1\n",
       "2      LakeSediment                     d18O      3\n",
       "3      LakeSediment                      d2H      1\n",
       "4      Sclerosponge                     d18O      3\n",
       "5           bivalve                     d18O      1\n",
       "6          borehole              temperature      2\n",
       "7             coral                    Sr_Ca     24\n",
       "8             coral            calcification      2\n",
       "9             coral                composite      6\n",
       "10            coral                     d18O     23\n",
       "11            coral              temperature      1\n",
       "12        documents              temperature     14\n",
       "13      glacier ice                     d18O      6\n",
       "14      glacier ice                       dD      1\n",
       "15           hybrid              temperature      1\n",
       "16    lake sediment              RABD660_670      1\n",
       "17    lake sediment  X_radiograph_dark_layer      1\n",
       "18    lake sediment              temperature     26\n",
       "19    lake sediment                thickness      3\n",
       "20  marine sediment                     d18O      1\n",
       "21  marine sediment              temperature     52\n",
       "22     sclerosponge                    Sr_Ca      4\n",
       "23     sclerosponge                     d18O      3\n",
       "24       speleothem                     d18O      4\n",
       "25             tree                      MXD     52\n",
       "26             tree                  density      4\n",
       "27             tree              temperature      6\n",
       "28             tree                    trsgi    321"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = df_nodup[['archiveType','paleoData_variableName']]\n",
    "\n",
    "temp.groupby(['archiveType','paleoData_variableName'], as_index=False).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e894b3a6-1a6d-4ac3-ade5-7661d2161042",
   "metadata": {},
   "source": [
    "Get the standard archive and variable names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2e3f631b-778b-4648-8c80-e00f72217905",
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_std = pd.read_csv('archiveType.csv')\n",
    "df_archive = archive_std[['lipdName','synonym']].reset_index()\n",
    "\n",
    "syn = []\n",
    "for _,row in df_archive.iterrows():\n",
    "    syn.append(row['synonym'].lower().replace(' ',\"\"))\n",
    "df_archive['synonym_reg']=syn\n",
    "\n",
    "var_std=pd.read_csv('paleoData_variableName.csv')\n",
    "df_var = var_std[['lipdName','synonym']].reset_index()\n",
    "\n",
    "syn_var=[]\n",
    "for _,row in df_var.iterrows():\n",
    "    try:\n",
    "        syn_var.append(row['synonym'].lower().replace(' ',\"\").replace('/',\"\").replace('_',\"\"))\n",
    "    except:\n",
    "        syn_var.append(row['synonym'])\n",
    "df_var['synonym_reg']=syn_var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "04df1dae-d835-4293-8e0d-42b9a5e89be2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's do the archive first\n",
    "\n",
    "archiveType_lipd = []\n",
    "\n",
    "for _, row in df_nodup.iterrows():\n",
    "    match = row['archiveType'].lower().replace(' ',\"\").replace('/',\"\").replace('_',\"\")\n",
    "    f = df_archive[df_archive['synonym_reg']==match]\n",
    "    if type(f) == pd.core.frame.DataFrame and not f.empty:\n",
    "        archiveType_lipd.append(f['lipdName'].iloc[0])\n",
    "    elif type(f) == pd.core.series.Series:\n",
    "        archiveType_lipd.append(f['lipdName'])\n",
    "    else:\n",
    "        archiveType_lipd.append(row['archiveType'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "41a33eea-12a3-4c3e-a07b-c5ed0e97e6ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's work on varname\n",
    "\n",
    "variableName = []\n",
    "\n",
    "for _, row in df_nodup.iterrows():\n",
    "    match = row['paleoData_variableName'].lower().replace(' ',\"\").replace('/',\"\").replace('_',\"\")\n",
    "    f = df_var[df_var['synonym_reg']==match]\n",
    "    if type(f) == pd.core.frame.DataFrame and not f.empty:\n",
    "        variableName.append(f['lipdName'].iloc[0])\n",
    "    elif type(f) == pd.core.series.Series:\n",
    "        variableName.append(f['lipdName'])\n",
    "    else:\n",
    "        variableName.append(row['archiveType'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e316b54c-a8af-454a-b25c-39b489237f7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "ptype = []\n",
    "for idx,item in enumerate(variableName):\n",
    "    ptype.append(archiveType_lipd[idx]+'.'+item)    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dde82a9f-bc13-450a-b81e-c1efd20ba8fc",
   "metadata": {},
   "source": [
    "Put it in our DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bc98ab2e-437f-46e6-bf23-ad338c8c1c4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_nodup['ptype']=ptype"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf4f8bef-51f4-4c30-b71c-1d4011f0980c",
   "metadata": {},
   "source": [
    "### Step 5b: Set the style for the figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fd4fcbf1-7246-4d5e-9312-31d353ae012c",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors_dict = {}\n",
    "\n",
    "for idx, item in enumerate(set(ptype)):\n",
    "    if 'marinesediment' in item.lower():\n",
    "        colors_dict[item] = sns.xkcd_rgb['brown']\n",
    "    elif 'lakesediment' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['maroon']\n",
    "    elif 'coral' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['orange']\n",
    "    elif 'ice' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['sky blue']\n",
    "    elif 'borehole' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['dark blue']\n",
    "    elif 'sclerosponge' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['amber']\n",
    "    elif 'speleothem' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['mauve']\n",
    "    elif 'wood' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['forest green']\n",
    "    elif 'bivalve' in item.lower():\n",
    "        colors_dict[item]= sns.xkcd_rgb['peach']\n",
    "    else:\n",
    "        colors_dict[item]= 'k'  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "acbc9abc-c82f-46d2-b8a3-884bd1e30b77",
   "metadata": {},
   "outputs": [],
   "source": [
    "markers_dict = {}\n",
    "\n",
    "for idx, item in enumerate(set(ptype)):\n",
    "    if 'temperature' in item.lower():\n",
    "        markers_dict[item] = 'P'\n",
    "    elif 'srca' in item.lower().replace('/',''):\n",
    "        markers_dict[item]= 'X'\n",
    "    elif 'd18o' in item.lower():\n",
    "        markers_dict[item] = 'o'\n",
    "    elif 'calcification' in item.lower():\n",
    "        markers_dict[item] = 'H'\n",
    "    elif 'composite' in item.lower():\n",
    "        markers_dict[item] = '<'\n",
    "    elif 'd2h' in item.lower():\n",
    "        markers_dict[item] = 'd'\n",
    "    elif 'reflectance' in item.lower():\n",
    "        markers_dict[item] = '>'\n",
    "    elif 'thickness' in item.lower():\n",
    "        markers_dict[item] = 'h'\n",
    "    elif 'mxd' in item.lower():\n",
    "        markers_dict[item] = '8'\n",
    "    elif 'density' in item.lower():\n",
    "        markers_dict[item] = '^'\n",
    "    elif 'width' in item.lower():\n",
    "        markers_dict[item] = 'v'\n",
    "    else:\n",
    "        markers_dict[item] = 's'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84dfd3a8-81b6-4969-b4fe-f054d2df6c15",
   "metadata": {},
   "source": [
    "Reset the plotting style:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d5c4d93c-0f4e-49f7-ba9e-cd6f1ff28589",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfr.visual.STYLE.colors_dict = colors_dict\n",
    "cfr.visual.STYLE.markers_dict = markers_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83e3c3d5-3bd3-4ebe-b40f-2f3a4b16aad7",
   "metadata": {},
   "source": [
    "### Step 5c: Create the Proxy DataBase\n",
    "\n",
    "Let's try to get one ProxyRecord into `cfr`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6ae374b4-ebd8-467b-b21c-857bae12a762",
   "metadata": {},
   "outputs": [],
   "source": [
    "row = df_nodup.iloc[0,:]\n",
    "\n",
    "f = cfr.ProxyRecord(pid = row['TSID'],\n",
    "                   time = row['time_values_slice'],\n",
    "                   value = row['paleoData_values_slice_gauss'],\n",
    "                   lat = row['geo_meanLat'],\n",
    "                   lon = row['geo_meanLon'],\n",
    "                   elev = row['geo_meanElev'],\n",
    "                   ptype = row['ptype'],\n",
    "                   tags = None,\n",
    "                   value_name = row['paleoData_variableName'],\n",
    "                   value_unit = row['paleoData_units'],\n",
    "                   time_name = row['time_units'],\n",
    "                   seasonality = None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "71147cad-8d82-4b3a-aada-143b76ec4c30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1200x400 with 2 Axes>,\n",
       " {'ts': <AxesSubplot: title={'center': 'LPD7dc5b9ba (LakeSediment.d18O) @ (lat:50.83, lon:243.61)'}, xlabel='AD [yr]', ylabel='d18O [permil]'>,\n",
       "  'map': <GeoAxesSubplot: >})"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9703d6fd-5274-4329-9874-25d0c3ca95e1",
   "metadata": {},
   "source": [
    "Now let's try to get the proxy database sorted out:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f7f9b0b3-7a78-48d5-8012-e7120900536c",
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy_dict = {}\n",
    "\n",
    "for _,row in df_nodup.iterrows():\n",
    "    proxy_dict[row['TSID']] = cfr.ProxyRecord(pid = row['TSID'],\n",
    "                   time = row['time_values_slice'],\n",
    "                   value = row['paleoData_values_slice_gauss'],\n",
    "                   lat = row['geo_meanLat'],\n",
    "                   lon = row['geo_meanLon'],\n",
    "                   elev = row['geo_meanElev'],\n",
    "                   ptype = row['ptype'],\n",
    "                   tags = None,\n",
    "                   value_name = row['paleoData_variableName'],\n",
    "                   value_unit = row['paleoData_units'],\n",
    "                   time_name = row['time_units'],\n",
    "                   seasonality = None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b262ed32-f48e-4e28-b2a0-52c15fb18c05",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdb = cfr.ProxyDatabase(proxy_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "015916bc-44ac-4295-afca-22fe423f0243",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pdb.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51a87baf-66a5-4f42-b082-6468e86dcd6b",
   "metadata": {},
   "source": [
    "### Step 5d: Calibrate against instrumental data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c47b998d-1749-49c3-878f-5be563601b2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (time: 2071, latitude: 36, longitude: 72, bnds: 2)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 1850-01-16T12:00:00 ... 2022-07-1...\n",
       "  * latitude          (latitude) float64 -87.5 -82.5 -77.5 ... 77.5 82.5 87.5\n",
       "  * longitude         (longitude) float64 -177.5 -172.5 -167.5 ... 172.5 177.5\n",
       "    realization       int64 ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    tas_mean          (time, latitude, longitude) float64 ...\n",
       "    time_bnds         (time, bnds) datetime64[ns] ...\n",
       "    latitude_bnds     (latitude, bnds) float64 ...\n",
       "    longitude_bnds    (longitude, bnds) float64 ...\n",
       "    realization_bnds  (bnds) int64 ...\n",
       "Attributes:\n",
       "    comment:      2m air temperature over land blended with sea water tempera...\n",
       "    history:      Data set built at: 2022-09-06T13:35:49+00:00\n",
       "    institution:  Met Office Hadley Centre / Climatic Research Unit, Universi...\n",
       "    licence:      HadCRUT5 is licensed under the Open Government Licence v3.0...\n",
       "    reference:    C. P. Morice, J. J. Kennedy, N. A. Rayner, J. P. Winn, E. H...\n",
       "    source:       CRUTEM.5.0.1.0 HadSST.4.0.0.0\n",
       "    title:        HadCRUT.5.0.1.0 blended land air temperature and sea-surfac...\n",
       "    version:      HadCRUT.5.0.1.0\n",
       "    Conventions:  CF-1.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b1a535b3-fbef-44e6-812b-182cac63dbb7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1a535b3-fbef-44e6-812b-182cac63dbb7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2071</li><li><span class='xr-has-index'>latitude</span>: 36</li><li><span class='xr-has-index'>longitude</span>: 72</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-124810ef-91bc-4691-8573-d02dd8ea943c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-124810ef-91bc-4691-8573-d02dd8ea943c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2022-07-...</div><input id='attrs-6af6f9ed-d6fb-4261-b3ee-8e8058367ee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6af6f9ed-d6fb-4261-b3ee-8e8058367ee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ecfff82-f7dc-4f68-980f-bdcb1bfa6f68' class='xr-var-data-in' type='checkbox'><label for='data-3ecfff82-f7dc-4f68-980f-bdcb1bfa6f68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2022-05-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-16T00:00:00.000000000&#x27;, &#x27;2022-07-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.5 -82.5 -77.5 ... 82.5 87.5</div><input id='attrs-dfbdcbf0-85cd-4f9a-8bce-2629d67a47d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfbdcbf0-85cd-4f9a-8bce-2629d67a47d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7fc3e98-1078-4707-96ec-0a6c28676dc7' class='xr-var-data-in' type='checkbox'><label for='data-e7fc3e98-1078-4707-96ec-0a6c28676dc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>latitude_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.5, -82.5, -77.5, -72.5, -67.5, -62.5, -57.5, -52.5, -47.5, -42.5,\n",
       "       -37.5, -32.5, -27.5, -22.5, -17.5, -12.5,  -7.5,  -2.5,   2.5,   7.5,\n",
       "        12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,  52.5,  57.5,\n",
       "        62.5,  67.5,  72.5,  77.5,  82.5,  87.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-177.5 -172.5 ... 172.5 177.5</div><input id='attrs-7d02270b-1885-4510-993e-4e85fb021f59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d02270b-1885-4510-993e-4e85fb021f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfbd1769-fced-4bb8-b239-9104ac49ea55' class='xr-var-data-in' type='checkbox'><label for='data-cfbd1769-fced-4bb8-b239-9104ac49ea55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>longitude_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-177.5, -172.5, -167.5, -162.5, -157.5, -152.5, -147.5, -142.5, -137.5,\n",
       "       -132.5, -127.5, -122.5, -117.5, -112.5, -107.5, -102.5,  -97.5,  -92.5,\n",
       "        -87.5,  -82.5,  -77.5,  -72.5,  -67.5,  -62.5,  -57.5,  -52.5,  -47.5,\n",
       "        -42.5,  -37.5,  -32.5,  -27.5,  -22.5,  -17.5,  -12.5,   -7.5,   -2.5,\n",
       "          2.5,    7.5,   12.5,   17.5,   22.5,   27.5,   32.5,   37.5,   42.5,\n",
       "         47.5,   52.5,   57.5,   62.5,   67.5,   72.5,   77.5,   82.5,   87.5,\n",
       "         92.5,   97.5,  102.5,  107.5,  112.5,  117.5,  122.5,  127.5,  132.5,\n",
       "        137.5,  142.5,  147.5,  152.5,  157.5,  162.5,  167.5,  172.5,  177.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>realization</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b80282e8-631e-4086-8372-e63741771761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b80282e8-631e-4086-8372-e63741771761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63762e8f-405f-4074-94a4-e75b02ed3fd1' class='xr-var-data-in' type='checkbox'><label for='data-63762e8f-405f-4074-94a4-e75b02ed3fd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>realization_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-522e24c5-7556-4dea-9f9c-4ca0fb258383' class='xr-section-summary-in' type='checkbox'  checked><label for='section-522e24c5-7556-4dea-9f9c-4ca0fb258383' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9ae97a3-d30a-431d-bfbc-581321e2d4af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ae97a3-d30a-431d-bfbc-581321e2d4af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7000fdee-89b7-44da-9cbc-e929b71e3fc2' class='xr-var-data-in' type='checkbox'><label for='data-7000fdee-89b7-44da-9cbc-e929b71e3fc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>blended air_temperature_anomaly over land with sea_water_temperature_anomaly</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: mean (interval: 5.0 degrees_north 5.0 degrees_east) time: mean (interval: 1 month) realization: mean</dd></dl></div><div class='xr-var-data'><pre>[5368032 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3fba9f1-3fc5-44e4-828d-fa90efdcdf82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3fba9f1-3fc5-44e4-828d-fa90efdcdf82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214f234c-02cc-4eb0-96e9-7385af251aaf' class='xr-var-data-in' type='checkbox'><label for='data-214f234c-02cc-4eb0-96e9-7385af251aaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4142 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_bnds</span></div><div class='xr-var-dims'>(latitude, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0fd9e42-129b-446c-88a0-fc1fd405cedb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0fd9e42-129b-446c-88a0-fc1fd405cedb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65f15ecb-5f3f-45fc-b0fa-accf8cff1685' class='xr-var-data-in' type='checkbox'><label for='data-65f15ecb-5f3f-45fc-b0fa-accf8cff1685' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[72 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_bnds</span></div><div class='xr-var-dims'>(longitude, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5055350a-d92a-4c20-8622-a6dd1a03e5e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5055350a-d92a-4c20-8622-a6dd1a03e5e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf790d5-d8a9-4821-b4af-0b2369db9222' class='xr-var-data-in' type='checkbox'><label for='data-7bf790d5-d8a9-4821-b4af-0b2369db9222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[144 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>realization_bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6b39c88-ec10-43e7-8e5f-4c4832587205' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6b39c88-ec10-43e7-8e5f-4c4832587205' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f02c0e3-a384-4740-823f-2621b8d0e174' class='xr-var-data-in' type='checkbox'><label for='data-5f02c0e3-a384-4740-823f-2621b8d0e174' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-744bbc05-bad6-41d8-a369-758d7a546465' class='xr-section-summary-in' type='checkbox'  ><label for='section-744bbc05-bad6-41d8-a369-758d7a546465' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-58df17ac-085f-4ab7-94cc-0f4338c6cdd0' class='xr-index-data-in' type='checkbox'/><label for='index-58df17ac-085f-4ab7-94cc-0f4338c6cdd0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1850-01-16 12:00:00&#x27;, &#x27;1850-02-15 00:00:00&#x27;,\n",
       "               &#x27;1850-03-16 12:00:00&#x27;, &#x27;1850-04-16 00:00:00&#x27;,\n",
       "               &#x27;1850-05-16 12:00:00&#x27;, &#x27;1850-06-16 00:00:00&#x27;,\n",
       "               &#x27;1850-07-16 12:00:00&#x27;, &#x27;1850-08-16 12:00:00&#x27;,\n",
       "               &#x27;1850-09-16 00:00:00&#x27;, &#x27;1850-10-16 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-10-16 12:00:00&#x27;, &#x27;2021-11-16 00:00:00&#x27;,\n",
       "               &#x27;2021-12-16 12:00:00&#x27;, &#x27;2022-01-16 12:00:00&#x27;,\n",
       "               &#x27;2022-02-15 00:00:00&#x27;, &#x27;2022-03-16 12:00:00&#x27;,\n",
       "               &#x27;2022-04-16 00:00:00&#x27;, &#x27;2022-05-16 12:00:00&#x27;,\n",
       "               &#x27;2022-06-16 00:00:00&#x27;, &#x27;2022-07-16 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2071, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79eeb99e-faae-44c7-9206-5ad595173380' class='xr-index-data-in' type='checkbox'/><label for='index-79eeb99e-faae-44c7-9206-5ad595173380' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-87.5, -82.5, -77.5, -72.5, -67.5, -62.5, -57.5, -52.5, -47.5, -42.5,\n",
       "       -37.5, -32.5, -27.5, -22.5, -17.5, -12.5,  -7.5,  -2.5,   2.5,   7.5,\n",
       "        12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,  52.5,  57.5,\n",
       "        62.5,  67.5,  72.5,  77.5,  82.5,  87.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-39e78b3c-f284-41b1-8fd7-4410ebc5c2de' class='xr-index-data-in' type='checkbox'/><label for='index-39e78b3c-f284-41b1-8fd7-4410ebc5c2de' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-177.5, -172.5, -167.5, -162.5, -157.5, -152.5, -147.5, -142.5, -137.5,\n",
       "       -132.5, -127.5, -122.5, -117.5, -112.5, -107.5, -102.5,  -97.5,  -92.5,\n",
       "        -87.5,  -82.5,  -77.5,  -72.5,  -67.5,  -62.5,  -57.5,  -52.5,  -47.5,\n",
       "        -42.5,  -37.5,  -32.5,  -27.5,  -22.5,  -17.5,  -12.5,   -7.5,   -2.5,\n",
       "          2.5,    7.5,   12.5,   17.5,   22.5,   27.5,   32.5,   37.5,   42.5,\n",
       "         47.5,   52.5,   57.5,   62.5,   67.5,   72.5,   77.5,   82.5,   87.5,\n",
       "         92.5,   97.5,  102.5,  107.5,  112.5,  117.5,  122.5,  127.5,  132.5,\n",
       "        137.5,  142.5,  147.5,  152.5,  157.5,  162.5,  167.5,  172.5,  177.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4bd7b629-4c77-47b3-afe4-23d04c5633fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4bd7b629-4c77-47b3-afe4-23d04c5633fe' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>2m air temperature over land blended with sea water temperature at a depth of 20cm expressed as monthly anomalies relative to 1961-1990 climatology.</dd><dt><span>history :</span></dt><dd>Data set built at: 2022-09-06T13:35:49+00:00</dd><dt><span>institution :</span></dt><dd>Met Office Hadley Centre / Climatic Research Unit, University of East Anglia</dd><dt><span>licence :</span></dt><dd>HadCRUT5 is licensed under the Open Government Licence v3.0 except where otherwise stated. To view this licence, visit https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3</dd><dt><span>reference :</span></dt><dd>C. P. Morice, J. J. Kennedy, N. A. Rayner, J. P. Winn, E. Hogan, R. E. Killick, R. J. H. Dunn, T. J. Osborn, P. D. Jones and I. R. Simpson (2021), An updated assessment of near-surface temperature change from 1850: the HadCRUT5 data set, Journal of Geophysical Research: Atmospheres, 126, e2019JD032361. https://doi.org/10.1029/2019JD032361</dd><dt><span>source :</span></dt><dd>CRUTEM.5.0.1.0 HadSST.4.0.0.0</dd><dt><span>title :</span></dt><dd>HadCRUT.5.0.1.0 blended land air temperature and sea-surface temperature anomaly data set</dd><dt><span>version :</span></dt><dd>HadCRUT.5.0.1.0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (time: 2071, latitude: 36, longitude: 72, bnds: 2)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 1850-01-16T12:00:00 ... 2022-07-1...\n",
       "  * latitude          (latitude) float64 -87.5 -82.5 -77.5 ... 77.5 82.5 87.5\n",
       "  * longitude         (longitude) float64 -177.5 -172.5 -167.5 ... 172.5 177.5\n",
       "    realization       int64 ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    tas_mean          (time, latitude, longitude) float64 ...\n",
       "    time_bnds         (time, bnds) datetime64[ns] ...\n",
       "    latitude_bnds     (latitude, bnds) float64 ...\n",
       "    longitude_bnds    (longitude, bnds) float64 ...\n",
       "    realization_bnds  (bnds) int64 ...\n",
       "Attributes:\n",
       "    comment:      2m air temperature over land blended with sea water tempera...\n",
       "    history:      Data set built at: 2022-09-06T13:35:49+00:00\n",
       "    institution:  Met Office Hadley Centre / Climatic Research Unit, Universi...\n",
       "    licence:      HadCRUT5 is licensed under the Open Government Licence v3.0...\n",
       "    reference:    C. P. Morice, J. J. Kennedy, N. A. Rayner, J. P. Winn, E. H...\n",
       "    source:       CRUTEM.5.0.1.0 HadSST.4.0.0.0\n",
       "    title:        HadCRUT.5.0.1.0 blended land air temperature and sea-surfac...\n",
       "    version:      HadCRUT.5.0.1.0\n",
       "    Conventions:  CF-1.7"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import xarray as xr\n",
    "\n",
    "ds = xr.open_dataset('./data/HadCRUT.5.0.1.0.analysis.anomalies.ensemble_mean.nc')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8c725349-9c1d-49b8-8179-88cf845b42a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = cfr.ClimateField().load_nc(\n",
    "    './data/HadCRUT.5.0.1.0.analysis.anomalies.ensemble_mean.nc',\n",
    "    vn='tas_mean', lat_name='latitude', lon_name='longitude',\n",
    ")\n",
    "obs = obs.rename('tas')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58703fbd-3431-4068-941d-ab397d516f39",
   "metadata": {},
   "source": [
    "### Step 5e: make the composite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "627adf2d-d093-4e15-a929-3919afd086b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Analyzing ProxyRecord:   0%|                            | 0/605 [00:00<?, ?it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:   1%|▏                   | 7/605 [00:01<02:12,  4.52it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:   4%|▊                  | 25/605 [00:05<02:06,  4.58it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:   5%|█                  | 32/605 [00:07<02:04,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:   6%|█                  | 34/605 [00:07<02:03,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:   8%|█▌                 | 50/605 [00:10<02:00,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  12%|██▎                | 74/605 [00:16<01:54,  4.64it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  16%|██▉                | 94/605 [00:20<01:51,  4.59it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  16%|███                | 99/605 [00:21<01:51,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  18%|███▏              | 107/605 [00:23<01:47,  4.63it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  18%|███▎              | 110/605 [00:24<01:47,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  19%|███▎              | 112/605 [00:24<01:47,  4.57it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  19%|███▍              | 116/605 [00:25<01:46,  4.58it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  20%|███▌              | 118/605 [00:25<01:46,  4.58it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  21%|███▊              | 127/605 [00:27<01:43,  4.62it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  22%|███▉              | 133/605 [00:29<01:42,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  24%|████▎             | 147/605 [00:32<01:37,  4.68it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  24%|████▍             | 148/605 [00:32<01:38,  4.62it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  29%|█████▏            | 173/605 [00:37<01:35,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  30%|█████▎            | 179/605 [00:39<01:34,  4.51it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  31%|█████▌            | 187/605 [00:40<01:31,  4.57it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  31%|█████▌            | 189/605 [00:41<01:31,  4.54it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  33%|█████▉            | 199/605 [00:43<01:28,  4.58it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  34%|██████            | 204/605 [00:44<01:27,  4.61it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  37%|██████▌           | 221/605 [00:48<01:24,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  38%|██████▊           | 228/605 [00:50<01:40,  3.75it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  40%|███████▎          | 244/605 [00:53<01:18,  4.59it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  41%|███████▍          | 250/605 [00:54<01:18,  4.51it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  42%|███████▌          | 255/605 [00:56<01:17,  4.54it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  43%|███████▋          | 259/605 [00:56<01:15,  4.56it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  43%|███████▋          | 260/605 [00:57<01:15,  4.54it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  46%|████████▏         | 276/605 [01:00<01:13,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  47%|████████▌         | 287/605 [01:03<01:10,  4.54it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  48%|████████▋         | 290/605 [01:03<01:09,  4.51it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  48%|████████▋         | 291/605 [01:04<01:09,  4.49it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  50%|█████████         | 304/605 [01:06<01:06,  4.56it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  53%|█████████▌        | 320/605 [01:10<01:06,  4.30it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  54%|█████████▋        | 324/605 [01:11<01:02,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  54%|█████████▋        | 326/605 [01:11<01:02,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  54%|█████████▊        | 329/605 [01:12<01:01,  4.51it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  56%|██████████        | 337/605 [01:14<00:59,  4.52it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  56%|██████████        | 338/605 [01:14<00:59,  4.52it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  56%|██████████        | 339/605 [01:14<00:59,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  56%|██████████▏       | 341/605 [01:15<00:58,  4.48it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  59%|██████████▌       | 356/605 [01:18<00:54,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  60%|██████████▊       | 365/605 [01:20<00:52,  4.55it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  65%|███████████▋      | 391/605 [01:26<00:47,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  65%|███████████▋      | 393/605 [01:26<00:46,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  65%|███████████▊      | 395/605 [01:27<00:46,  4.51it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  67%|███████████▉      | 403/605 [01:28<00:43,  4.59it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  70%|████████████▌     | 422/605 [01:33<00:40,  4.47it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  70%|████████████▌     | 423/605 [01:33<00:41,  4.40it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  72%|█████████████     | 437/605 [01:36<00:39,  4.27it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  73%|█████████████     | 440/605 [01:37<00:41,  3.96it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  76%|█████████████▋    | 459/605 [01:41<00:32,  4.48it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  76%|█████████████▋    | 461/605 [01:42<00:32,  4.43it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  77%|█████████████▊    | 465/605 [01:43<00:31,  4.46it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  77%|█████████████▉    | 467/605 [01:43<00:31,  4.44it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  77%|█████████████▉    | 468/605 [01:43<00:30,  4.46it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  78%|██████████████    | 471/605 [01:44<00:29,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  80%|██████████████▎   | 482/605 [01:47<00:28,  4.33it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  80%|██████████████▎   | 483/605 [01:47<00:28,  4.29it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  80%|██████████████▍   | 484/605 [01:47<00:28,  4.29it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  81%|██████████████▌   | 490/605 [01:49<00:25,  4.44it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  81%|██████████████▌   | 491/605 [01:49<00:25,  4.44it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  82%|██████████████▊   | 497/605 [01:50<00:23,  4.52it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  82%|██████████████▊   | 498/605 [01:50<00:23,  4.49it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  83%|██████████████▉   | 504/605 [01:52<00:23,  4.25it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  85%|███████████████▎  | 515/605 [01:54<00:19,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  86%|███████████████▍  | 520/605 [01:55<00:18,  4.53it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  86%|███████████████▌  | 522/605 [01:56<00:18,  4.50it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  86%|███████████████▌  | 523/605 [01:56<00:18,  4.49it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  88%|███████████████▊  | 533/605 [01:58<00:16,  4.28it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  90%|████████████████▏ | 544/605 [02:01<00:13,  4.44it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  90%|████████████████▎ | 547/605 [02:02<00:13,  4.20it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  91%|████████████████▎ | 549/605 [02:02<00:12,  4.33it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  92%|████████████████▍ | 554/605 [02:03<00:11,  4.47it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  95%|█████████████████ | 573/605 [02:08<00:07,  4.45it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord:  98%|█████████████████▋| 595/605 [02:13<00:02,  4.45it/s]/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.\n",
      "  avg = a.mean(axis, **keepdims_kw)\n",
      "/Users/deborahkhider/opt/anaconda3/envs/paleopandas/lib/python3.10/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "Analyzing ProxyRecord: 100%|██████████████████| 605/605 [02:15<00:00,  4.45it/s]\n",
      "Bootstrapping: 100%|██████████████████████████| 201/201 [00:13<00:00, 14.65it/s]\n"
     ]
    }
   ],
   "source": [
    "pdb.make_composite(obs,bin_width=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c4dc3e31-4149-45d9-9997-1cbd2456316c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Multi-Proxy,  605 records, bin_width=10')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pdb.plot_composite()\n",
    "current_title = ax['var'].title.get_text().split(',',1)[-1]\n",
    "ax['var'].set_title('Multi-Proxy, '+current_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "32699ed2-d8cc-4642-9b0f-6360e9e8fa96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['df_proxy', 'df_obs', 'proxy_comp', 'proxy_comp_time', 'proxy_comp_value', 'proxy_sq_low_time', 'proxy_sq_high_time', 'proxy_sq_low_value', 'proxy_sq_high_value', 'proxy_num', 'proxy_num_time', 'proxy_num_value', 'obs_comp', 'obs_comp_time', 'obs_comp_value', 'bin_width', 'intercept', 'slope', 'r2'])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb.composite.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bfb1a8c-b70a-4fb8-a897-3048e9c0ae60",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}