From 2b5bc1c0dbed5bb0d36af72539f5bd8f60a03cdd Mon Sep 17 00:00:00 2001
From: Jeffrey Post <jeffrey.post@etu.unige.ch>
Date: Tue, 10 Nov 2020 19:55:08 +0000
Subject: [PATCH] Religions notebook
Jupyter notebook wrangling religious data from data.world
---
notebooks/religions.ipynb | 614 ++++++++++++++++++++++++++++++++++++++
1 file changed, 614 insertions(+)
create mode 100644 notebooks/religions.ipynb
diff --git a/notebooks/religions.ipynb b/notebooks/religions.ipynb
new file mode 100644
index 0000000..3158802
--- /dev/null
+++ b/notebooks/religions.ipynb
@@ -0,0 +1,614 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: datadotworld in /opt/conda/lib/python3.7/site-packages (1.7.0)\n",
+ "Requirement already satisfied: tableschema<2.0a,>=1.5.2 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (1.20.0)\n",
+ "Requirement already satisfied: click<7.0a,>=6.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (6.7)\n",
+ "Requirement already satisfied: python-dateutil<3.0a,>=2.6.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (2.8.1)\n",
+ "Requirement already satisfied: certifi>=2017.04.17 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (2020.4.5.1)\n",
+ "Requirement already satisfied: datapackage<2.0a,>=1.6.2 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (1.15.1)\n",
+ "Requirement already satisfied: configparser<4.0a,>=3.5.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (3.8.1)\n",
+ "Requirement already satisfied: tabulator>=1.22.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (1.53.0)\n",
+ "Requirement already satisfied: urllib3<2.0a,>=1.15 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (1.25.9)\n",
+ "Requirement already satisfied: requests<3.0a,>=2.0.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (2.23.0)\n",
+ "Requirement already satisfied: six<2.0a,>=1.5.0 in /opt/conda/lib/python3.7/site-packages (from datadotworld) (1.14.0)\n",
+ "Requirement already satisfied: jsonschema>=2.5 in /opt/conda/lib/python3.7/site-packages (from tableschema<2.0a,>=1.5.2->datadotworld) (3.2.0)\n",
+ "Requirement already satisfied: unicodecsv>=0.14 in /opt/conda/lib/python3.7/site-packages (from tableschema<2.0a,>=1.5.2->datadotworld) (0.14.1)\n",
+ "Requirement already satisfied: isodate>=0.5.4 in /opt/conda/lib/python3.7/site-packages (from tableschema<2.0a,>=1.5.2->datadotworld) (0.6.0)\n",
+ "Requirement already satisfied: rfc3986>=1.1.0 in /opt/conda/lib/python3.7/site-packages (from tableschema<2.0a,>=1.5.2->datadotworld) (1.4.0)\n",
+ "Requirement already satisfied: cached-property>=1.5 in /opt/conda/lib/python3.7/site-packages (from tableschema<2.0a,>=1.5.2->datadotworld) (1.5.2)\n",
+ "Requirement already satisfied: chardet>=3.0 in /opt/conda/lib/python3.7/site-packages (from datapackage<2.0a,>=1.6.2->datadotworld) (3.0.4)\n",
+ "Requirement already satisfied: jsonpointer>=1.10 in /opt/conda/lib/python3.7/site-packages (from datapackage<2.0a,>=1.6.2->datadotworld) (2.0)\n",
+ "Requirement already satisfied: openpyxl>=2.6 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (3.0.5)\n",
+ "Requirement already satisfied: ijson>=3.0.3 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (3.1.2.post0)\n",
+ "Requirement already satisfied: linear-tsv>=1.0 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (1.1.0)\n",
+ "Requirement already satisfied: sqlalchemy>=0.9.6 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (1.3.16)\n",
+ "Requirement already satisfied: jsonlines>=1.1 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (1.2.0)\n",
+ "Requirement already satisfied: boto3>=1.9 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (1.16.14)\n",
+ "Requirement already satisfied: xlrd>=1.0 in /opt/conda/lib/python3.7/site-packages (from tabulator>=1.22.0->datadotworld) (1.2.0)\n",
+ "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests<3.0a,>=2.0.0->datadotworld) (2.9)\n",
+ "Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /opt/conda/lib/python3.7/site-packages (from jsonschema>=2.5->tableschema<2.0a,>=1.5.2->datadotworld) (1.6.0)\n",
+ "Requirement already satisfied: setuptools in /opt/conda/lib/python3.7/site-packages (from jsonschema>=2.5->tableschema<2.0a,>=1.5.2->datadotworld) (46.1.3.post20200325)\n",
+ "Requirement already satisfied: pyrsistent>=0.14.0 in /opt/conda/lib/python3.7/site-packages (from jsonschema>=2.5->tableschema<2.0a,>=1.5.2->datadotworld) (0.16.0)\n",
+ "Requirement already satisfied: attrs>=17.4.0 in /opt/conda/lib/python3.7/site-packages (from jsonschema>=2.5->tableschema<2.0a,>=1.5.2->datadotworld) (19.3.0)\n",
+ "Requirement already satisfied: jdcal in /opt/conda/lib/python3.7/site-packages (from openpyxl>=2.6->tabulator>=1.22.0->datadotworld) (1.4.1)\n",
+ "Requirement already satisfied: et-xmlfile in /opt/conda/lib/python3.7/site-packages (from openpyxl>=2.6->tabulator>=1.22.0->datadotworld) (1.0.1)\n",
+ "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/conda/lib/python3.7/site-packages (from boto3>=1.9->tabulator>=1.22.0->datadotworld) (0.10.0)\n",
+ "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/conda/lib/python3.7/site-packages (from boto3>=1.9->tabulator>=1.22.0->datadotworld) (0.3.3)\n",
+ "Requirement already satisfied: botocore<1.20.0,>=1.19.14 in /opt/conda/lib/python3.7/site-packages (from boto3>=1.9->tabulator>=1.22.0->datadotworld) (1.19.14)\n",
+ "Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata; python_version < \"3.8\"->jsonschema>=2.5->tableschema<2.0a,>=1.5.2->datadotworld) (3.1.0)\n",
+ "\u001b[33mWARNING: You are using pip version 20.1.1; however, version 20.2.4 is available.\n",
+ "You should consider upgrading via the '/opt/conda/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
+ "Collecting pandas\n",
+ " Downloading pandas-1.1.4-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB)\n",
+ "\u001b[K |████████████████████████████████| 9.5 MB 2.9 MB/s eta 0:00:01\n",
+ "\u001b[?25hCollecting numpy>=1.15.4\n",
+ " Downloading numpy-1.19.4-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB)\n",
+ "\u001b[K |████████████████████████████████| 14.5 MB 57.4 MB/s eta 0:00:01\n",
+ "\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/lib/python3.7/site-packages (from pandas) (2.8.1)\n",
+ "Collecting pytz>=2017.2\n",
+ " Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB)\n",
+ "\u001b[K |████████████████████████████████| 509 kB 46.8 MB/s eta 0:00:01\n",
+ "\u001b[?25hRequirement already satisfied: six>=1.5 in /opt/conda/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)\n",
+ "Installing collected packages: numpy, pytz, pandas\n",
+ "Successfully installed numpy-1.19.4 pandas-1.1.4 pytz-2020.4\n",
+ "\u001b[33mWARNING: You are using pip version 20.1.1; however, version 20.2.4 is available.\n",
+ "You should consider upgrading via the '/opt/conda/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install datadotworld\n",
+ "!pip install pandas"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import datadotworld as dw"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "intermediate = dw.load_dataset('cow/world-religion-data')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "KeysView(LazyLoadedDict({'wrp_global_data': LazyLoadedValue(<pandas.DataFrame>), 'wrp_national_data': LazyLoadedValue(<pandas.DataFrame>), 'wrp_regional_data': LazyLoadedValue(<pandas.DataFrame>)}))"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "intermediate.dataframes.keys()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wrp_df = intermediate.dataframes['wrp_national_data']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wrp_df.set_index('name', inplace=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1995 rows × 83 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " year state chrstprot chrstcat chrstorth chrstang chrstothr \\\n",
+ "name \n",
+ "USA 1945 2 66069671 38716742 1121898 2400000 1956807 \n",
+ "USA 1950 2 73090083 42635882 3045420 3045420 1177214 \n",
+ "USA 1955 2 79294628 46402368 3454916 2572767 2277091 \n",
+ "USA 1960 2 90692928 50587880 3334535 2710065 2908939 \n",
+ "USA 1965 2 94165803 64761783 4792868 2822149 973155 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "WSM 1990 990 98400 24600 0 420 36080 \n",
+ "WSM 1995 990 99000 26000 0 377 36300 \n",
+ "WSM 2000 990 138600 36000 0 0 0 \n",
+ "WSM 2005 990 140910 36600 0 0 0 \n",
+ "WSM 2010 990 139757 35883 0 0 4500 \n",
+ "\n",
+ " chrstgen judorth jdcons ... othrgenpct sumreligpct total \\\n",
+ "name ... \n",
+ "USA 110265118 821489 1364508 ... 0.0039 0.9961 1.0000 \n",
+ "USA 122994019 1078078 1790706 ... 0.0041 0.9959 1.0000 \n",
+ "USA 134001770 944000 1568000 ... 0.0193 0.9807 0.9999 \n",
+ "USA 150234347 973500 1617000 ... 0.0076 0.9924 0.9999 \n",
+ "USA 167515758 991200 1646400 ... 0.0030 0.9970 1.0001 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "WSM 159500 0 0 ... 0.0008 0.9992 1.0000 \n",
+ "WSM 161677 0 0 ... 0.0007 0.9993 1.0001 \n",
+ "WSM 174600 0 0 ... 0.0157 0.9844 1.0000 \n",
+ "WSM 177510 0 0 ... 0.0159 0.9841 1.0000 \n",
+ "WSM 180140 0 0 ... 0.0258 0.9742 1.0000 \n",
+ "\n",
+ " dualrelig datatype sourcereliab recreliab reliabilevel version \\\n",
+ "name \n",
+ "USA False 34 2 10 Medium 1.1 \n",
+ "USA False 34 6 28 Low 1.1 \n",
+ "USA False 134 5 10 Medium 1.1 \n",
+ "USA False 134 2 10 Medium 1.1 \n",
+ "USA False 134 8 28 Low 1.1 \n",
+ "... ... ... ... ... ... ... \n",
+ "WSM False 134 4 10 Medium 1.1 \n",
+ "WSM False 134 5 20 Medium 1.1 \n",
+ "WSM False 24 5 10 Medium 1.1 \n",
+ "WSM False 24 5 10 Medium 1.1 \n",
+ "WSM False 24 5 10 Medium 1.1 \n",
+ "\n",
+ " sourcecode \n",
+ "name \n",
+ "USA 13 \n",
+ "USA 18 \n",
+ "USA 15 \n",
+ "USA 13 \n",
+ "USA 20 \n",
+ "... ... \n",
+ "WSM 7 \n",
+ "WSM 1 \n",
+ "WSM 83 \n",
+ "WSM 83 \n",
+ "WSM 83 \n",
+ "\n",
+ "[1995 rows x 83 columns]"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "wrp_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ssa_df=wrp_df.loc[['ANG', 'BEN', 'BOT', 'BFO', 'BUI', 'CAO', 'CEN', 'CHA', 'COM', 'CON', 'DRC', 'CDI', 'ERI', 'SWZ', 'ETH', 'GAB', 'GAM', 'GHA', 'GUI', 'KEN', 'LES', 'LBR', 'MAG', 'MAW', 'MLI', 'MAA', 'MZM', 'NAM', 'NIR', 'NIG', 'RWA', 'STP', 'SEN', 'SIE', 'SAF', 'SUD', 'TAZ', 'TOG', 'UGA', 'ZAM', 'ZIM']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ssa_df_pct = ssa_df[ssa_df.year==2010].loc[:,['chrstgenpct','judgenpct','islmgenpct','budgenpct','zorogenpct','hindgenpct','sikhgenpct','shntgenpct','bahgenpct','taogenpct','jaingenpct','confgenpct','syncgenpct','anmgenpct','nonreligpct','othrgenpct','sumreligpct']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 86,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1. , 1.0001, 1.0001, 0.9999, 1. , 0.9999, 0.9999, 1.0001,\n",
+ " 1.0001, 0.9999, 1.0001, 1. , 1. , 0.9998, 1.0002, 0.9999,\n",
+ " 1. , 1. , 1. , 1. , 1.0002, 1. , 1. , 1. ,\n",
+ " 1.0001, 1. , 1. , 0.9999, 1. , 1. , 0.9999, 1. ,\n",
+ " 1. , 0.9999, 1. , 1. , 0.9999, 1. , 1. , 1. ,\n",
+ " 0.9999])"
+ ]
+ },
+ "execution_count": 86,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ssa_df_pct.iloc[:,:-1].sum(axis=1).values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
GitLab