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knu2xs/hdx.ipynb

Created March 5, 2021 21:42
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hdx.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No logging configuration parameter. Using default.\n",
"Loading logging configuration from: d:\\anaconda3\\envs\\pop-density\\lib\\site-packages\\hdx\\utilities\\logging_configuration.yml\n"
]
}
],
"source": [
"import json\n",
"\n",
"from hdx.utilities.easy_logging import setup_logging\n",
"from hdx.hdx_configuration import Configuration\n",
"from hdx.data.dataset import Dataset\n",
"import pandas as pd\n",
"\n",
"setup_logging()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Set up the configuration to be able to connect to the HDX REST endpoint."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[32mINFO\u001b[0m - 2021-03-05 13:39:12 - hdx.hdx_configuration - No HDX base configuration parameter. Using default base configuration file: d:\\anaconda3\\envs\\pop-density\\lib\\site-packages\\hdx\\hdx_base_configuration.yml.\u001b[0m\n",
"\u001b[32mINFO\u001b[0m - 2021-03-05 13:39:12 - hdx.hdx_configuration - Loading HDX base configuration from: d:\\anaconda3\\envs\\pop-density\\lib\\site-packages\\hdx\\hdx_base_configuration.yml\u001b[0m\n",
"\u001b[32mINFO\u001b[0m - 2021-03-05 13:39:12 - hdx.hdx_configuration - No HDX configuration parameter and no configuration file at default path: C:\\Users\\joel5174\\.hdx_configuration.yml.\u001b[0m\n",
"\u001b[32mINFO\u001b[0m - 2021-03-05 13:39:12 - hdx.hdx_configuration - Read only access to HDX: True\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'https://data.humdata.org'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Configuration.create(hdx_site='prod', user_agent='FB_data_agent', hdx_read_only=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Search HDX based on a few keywords in the title."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"datasets = Dataset.search_in_hdx('Population Density Demographic Estimates')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Get a list of the datasets Facebook has published by country (the most recent data), and use this smaller set of id's to filter the dataset object list."
]
},
{
"cell_type": "code",
"execution_count": 4,
"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>archived</th>\n",
" <th>author</th>\n",
" <th>author_email</th>\n",
" <th>batch</th>\n",
" <th>caveats</th>\n",
" <th>creator_user_id</th>\n",
" <th>data_update_frequency</th>\n",
" <th>dataset_date</th>\n",
" <th>dataset_preview</th>\n",
" <th>dataset_source</th>\n",
" <th>...</th>\n",
" <th>state</th>\n",
" <th>subnational</th>\n",
" <th>tags</th>\n",
" <th>title</th>\n",
" <th>total_res_downloads</th>\n",
" <th>type</th>\n",
" <th>updated_by_script</th>\n",
" <th>url</th>\n",
" <th>version</th>\n",
" <th>country</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>To reference this data, please use the followi...</td>\n",
" <td>6bf7b9d7-7fee-4663-8d7a-4122977f6756</td>\n",
" <td>-2</td>\n",
" <td>[2019-05-20T00:00:00 TO 2019-05-20T23:59:59]</td>\n",
" <td>first_resource</td>\n",
" <td>Facebook</td>\n",
" <td>...</td>\n",
" <td>active</td>\n",
" <td>1</td>\n",
" <td>[{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a...</td>\n",
" <td>Angola: High Resolution Population Density Map...</td>\n",
" <td>896</td>\n",
" <td>dataset</td>\n",
" <td>NaN</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Angola</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>To reference this data, please use the followi...</td>\n",
" <td>6bf7b9d7-7fee-4663-8d7a-4122977f6756</td>\n",
" <td>-2</td>\n",
" <td>[2019-05-20T00:00:00 TO 2019-05-20T23:59:59]</td>\n",
" <td>first_resource</td>\n",
" <td>Facebook</td>\n",
" <td>...</td>\n",
" <td>active</td>\n",
" <td>1</td>\n",
" <td>[{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a...</td>\n",
" <td>Burundi: High Resolution Population Density Ma...</td>\n",
" <td>752</td>\n",
" <td>dataset</td>\n",
" <td>NaN</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Burundi</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>To reference this data, please use the followi...</td>\n",
" <td>6bf7b9d7-7fee-4663-8d7a-4122977f6756</td>\n",
" <td>-2</td>\n",
" <td>[2019-05-20T00:00:00 TO 2019-05-20T23:59:59]</td>\n",
" <td>first_resource</td>\n",
" <td>Facebook</td>\n",
" <td>...</td>\n",
" <td>active</td>\n",
" <td>1</td>\n",
" <td>[{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a...</td>\n",
" <td>Benin: High Resolution Population Density Maps...</td>\n",
" <td>793</td>\n",
" <td>dataset</td>\n",
" <td>NaN</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Benin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>To reference this data, please use the followi...</td>\n",
" <td>6bf7b9d7-7fee-4663-8d7a-4122977f6756</td>\n",
" <td>-2</td>\n",
" <td>[2019-05-20T00:00:00 TO 2019-05-20T23:59:59]</td>\n",
" <td>first_resource</td>\n",
" <td>Facebook</td>\n",
" <td>...</td>\n",
" <td>active</td>\n",
" <td>1</td>\n",
" <td>[{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a...</td>\n",
" <td>Burkina Faso: High Resolution Population Densi...</td>\n",
" <td>797</td>\n",
" <td>dataset</td>\n",
" <td>NaN</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Burkina Faso</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>To reference this data, please use the followi...</td>\n",
" <td>6bf7b9d7-7fee-4663-8d7a-4122977f6756</td>\n",
" <td>-2</td>\n",
" <td>[2019-05-20T00:00:00 TO 2019-05-20T23:59:59]</td>\n",
" <td>first_resource</td>\n",
" <td>Facebook</td>\n",
" <td>...</td>\n",
" <td>active</td>\n",
" <td>1</td>\n",
" <td>[{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a...</td>\n",
" <td>Botswana: High Resolution Population Density M...</td>\n",
" <td>777</td>\n",
" <td>dataset</td>\n",
" <td>NaN</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Botswana</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 59 columns</p>\n",
"</div>"
],
"text/plain": [
" archived author author_email batch \\\n",
"0 False NaN NaN NaN \n",
"1 False NaN NaN NaN \n",
"2 False NaN NaN NaN \n",
"3 False NaN NaN NaN \n",
"4 False NaN NaN NaN \n",
"\n",
" caveats \\\n",
"0 To reference this data, please use the followi... \n",
"1 To reference this data, please use the followi... \n",
"2 To reference this data, please use the followi... \n",
"3 To reference this data, please use the followi... \n",
"4 To reference this data, please use the followi... \n",
"\n",
" creator_user_id data_update_frequency \\\n",
"0 6bf7b9d7-7fee-4663-8d7a-4122977f6756 -2 \n",
"1 6bf7b9d7-7fee-4663-8d7a-4122977f6756 -2 \n",
"2 6bf7b9d7-7fee-4663-8d7a-4122977f6756 -2 \n",
"3 6bf7b9d7-7fee-4663-8d7a-4122977f6756 -2 \n",
"4 6bf7b9d7-7fee-4663-8d7a-4122977f6756 -2 \n",
"\n",
" dataset_date dataset_preview \\\n",
"0 [2019-05-20T00:00:00 TO 2019-05-20T23:59:59] first_resource \n",
"1 [2019-05-20T00:00:00 TO 2019-05-20T23:59:59] first_resource \n",
"2 [2019-05-20T00:00:00 TO 2019-05-20T23:59:59] first_resource \n",
"3 [2019-05-20T00:00:00 TO 2019-05-20T23:59:59] first_resource \n",
"4 [2019-05-20T00:00:00 TO 2019-05-20T23:59:59] first_resource \n",
"\n",
" dataset_source ... state subnational \\\n",
"0 Facebook ... active 1 \n",
"1 Facebook ... active 1 \n",
"2 Facebook ... active 1 \n",
"3 Facebook ... active 1 \n",
"4 Facebook ... active 1 \n",
"\n",
" tags \\\n",
"0 [{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a... \n",
"1 [{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a... \n",
"2 [{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a... \n",
"3 [{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a... \n",
"4 [{'vocabulary_id': 'b891512e-9516-4bf5-962a-7a... \n",
"\n",
" title total_res_downloads \\\n",
"0 Angola: High Resolution Population Density Map... 896 \n",
"1 Burundi: High Resolution Population Density Ma... 752 \n",
"2 Benin: High Resolution Population Density Maps... 793 \n",
"3 Burkina Faso: High Resolution Population Densi... 797 \n",
"4 Botswana: High Resolution Population Density M... 777 \n",
"\n",
" type updated_by_script url version country \n",
"0 dataset NaN None None Angola \n",
"1 dataset NaN None None Burundi \n",
"2 dataset NaN None None Benin \n",
"3 dataset NaN None None Burkina Faso \n",
"4 dataset NaN None None Botswana \n",
"\n",
"[5 rows x 59 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_df = pd.DataFrame(datasets)\n",
"\n",
"def filter_to_country(val):\n",
" \"\"\"Helper function to get only datasets for one country.\"\"\"\n",
" cntry_lst = json.loads(val)['countries']\n",
" valid = False if len(cntry_lst) != 1 or cntry_lst[0].lower() == 'world' else True\n",
" return valid\n",
"\n",
"# filter dataframe to only single countries from Facebook\n",
"ds_df = ds_df[(ds_df.title.str.contains('High Resolution Population Density Maps')) \n",
" & (ds_df.dataset_source == 'Facebook')\n",
" & (ds_df.solr_additions.apply(lambda val: filter_to_country(val)))\n",
" ].copy().reset_index(drop=True)\n",
"\n",
"# this does not serve a purpose, but can be useful if we want to enable filtering by country name later\n",
"ds_df['country'] = ds_df.solr_additions.apply(lambda val: json.loads(val)['countries'][0])\n",
"\n",
"ds_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# get just the id values\n",
"fbpop_id_vals = ds_df.id.values\n",
"\n",
"# filter the datasets list to just the datasets we are interested in\n",
"datasets_fbpop = [ds for ds in datasets if ds.data['id'] in fbpop_id_vals]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, get a list of url's to download only the GeoTIFF's for all the countries."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/c0ff89e3-93dc-493b-815d-3fc109ae6fc3/download/ago_population_2020.tif.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/8c652b13-b9b8-40b7-9942-5f415779085d/download/ago_children_under_five_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/459a8441-ccf9-4487-a814-e2a90bd19d32/download/ago_elderly_60_plus_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/438adce5-a961-4e94-a70d-b2073c1d6fb0/download/ago_men_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/d7e623e1-b0ba-4d52-b514-e4ffe3e82a6c/download/ago_women_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/f95440ce-15d8-4ede-9c2c-1420a5f5a955/download/ago_women_of_reproductive_age_15_49_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/af95dc18-3f93-492e-aa32-d635c9de7076/resource/ca0bcb86-c5d9-4fac-9c10-18d8a979e0c7/download/ago_youth_15_24_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/bba1b736-f249-4c15-9163-51ff4c8f0786/download/population_bdi_2019-07-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/dcdfee14-b374-4b8a-b24a-8f0f2dd1e959/download/bdi_children_under_five_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/754c7edf-78ca-4516-996e-f49aa2d4647c/download/bdi_elderly_60_plus_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/e16b7707-0c15-4575-b927-3a4cc4aa7f03/download/bdi_men_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/940d0eac-52a4-4b51-aeb4-570ee6de9794/download/bdi_women_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/70d30334-a0fa-490f-9d03-c55df61e987d/download/bdi_women_of_reproductive_age_15_49_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/e6e32bcd-decc-46c1-859a-e773b32fd108/resource/d67e926f-a6eb-4049-9f9b-b917f1db6711/download/bdi_youth_15_24_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/2de8be7c-89a8-4443-963c-fd85eca054e6/download/population_ben_2019-07-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/a5317a25-1e18-4331-a614-a332b64eb6a8/download/ben_children_under_five_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/6dafab96-fc53-4bf9-b0c5-e3139bafdaab/download/ben_elderly_60_plus_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/0864ac30-b34a-4ce7-a8e7-9b9f8761d371/download/ben_men_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/199bd02a-1d12-435a-afff-7d1dc840fdf0/download/ben_women_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/affb3ca8-dbe1-4276-91ff-4ef22069c362/download/ben_women_of_reproductive_age_15_49_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/ab712a75-5154-4034-802b-fbbd46c521fa/resource/c63d5777-6ee8-41b5-be7b-20c51669c8bb/download/ben_youth_15_24_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/8b32088a-fbc1-4b54-a270-92cdd2da9a14/download/population_bfa_2018-10-01.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/9dfa93c1-6f89-47ab-9383-39002230e55c/download/bfa_children_under_five_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/c57cc2a1-5132-49c7-8774-476566402c8b/download/bfa_elderly_60_plus_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/e0d79fe0-cae5-48dc-acd7-e70e49da3473/download/bfa_men_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/c5de6297-1b74-479b-ad35-c1c7a6302fd5/download/bfa_women_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/888bf8dd-256b-48e6-8b2b-76682efb1b2f/download/bfa_women_of_reproductive_age_15_49_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/cd8aee09-6f16-4c75-9d0a-f7047b625a39/resource/808178b6-cab4-43de-9991-66a6c5c3b2ed/download/bfa_youth_15_24_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/d39ba1fa-0be8-41b4-bf48-351b7b7bead7/resource/982c8153-bf3e-4650-b606-ee3ab7c37365/download/population_bwa_2019-07-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/d39ba1fa-0be8-41b4-bf48-351b7b7bead7/resource/eb72f0d1-5cad-45f1-a3c5-cca371bbe5fd/download/bwa_children_under_five_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/d39ba1fa-0be8-41b4-bf48-351b7b7bead7/resource/39e99569-fc5c-4ce1-bc8b-38db6f00dd1b/download/bwa_elderly_60_plus_geotiff.zip',\n",
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" 'https://data.humdata.org/dataset/95c6e737-f0b6-47ae-af5c-292838523a34/resource/68e99df1-66d4-49dc-9e90-e5e73f69de84/download/tls_women_2019-06-01_geotiff.zip',\n",
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" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/d2242092-c58f-490e-95f5-0a8d8425546f/download/ton_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/6a8f2b72-08d3-4b6e-a945-e301ac8f6533/download/ton_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/5f101d7a-dd59-4dcd-8ecf-cab1cd738bdd/download/ton_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/eef674d9-388f-4365-bf43-fe68dac9f96c/download/ton_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/8089f0de-76c3-4750-a43c-7ebda0ffc76f/download/ton_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/dbde80e6-63f3-4c3e-86f9-ad60142240c9/resource/72a55887-c02e-433c-997f-e335fe5dd5f2/download/population_ton_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/4ffc5521-1f40-4a34-aa6a-435fb7d9b51c/download/tkm_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/0cf363f8-e37a-4c0f-a11d-017bac21cb64/download/tkm_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/c2bff819-afdc-48e5-866d-e22ef0172a79/download/tkm_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/2b4f58c0-3d48-453a-81ff-ac670f9d6160/download/tkm_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/d1071520-88aa-4b1e-95cb-0a41c68a295a/download/tkm_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/84000d56-875c-41c9-aa00-226f5245f32b/resource/bfd88911-2959-4df2-adc8-711182cf6fb5/download/tkm_youth_15_24_2019-06-01_geotiff.zip',\n",
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" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/9e013939-2bf5-4f66-992f-c6310f952f08/download/tuv_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/45a5005a-1945-42a8-81e1-94b249ab1fff/download/tuv_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/4d2814ff-891f-4694-b844-52c6829f700d/download/tuv_men_2019-06-01_geotiff.zip',\n",
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" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/5414a33d-637d-4e32-9611-70beb6813443/download/tuv_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/a55dd5e2-5e1a-4750-9005-7b4b98656dca/download/tuv_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/4add55d4-62f4-43a4-b0c8-5bd039d00b41/resource/e39add10-804f-4b8c-af1e-a344d72c1426/download/population_tuv_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/c75196ce-0275-470a-b9ec-9c08e6c04d5c/download/uzb_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/2646276b-2145-4d88-8d0a-191e891dc882/download/uzb_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/f53aef5d-37f3-4f2c-ba96-022dc5dc02dc/download/uzb_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/29879b8c-2c80-45c8-a554-2dbb7c38d6be/download/uzb_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/73266940-a2a9-4da3-b3f2-d6a15d56a6b7/download/uzb_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/50c3e02b-1248-43fc-9bba-becc1571aa00/download/uzb_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/fe85f110-9b9d-42b8-884f-6add14ec7bb0/resource/8a2d743a-801d-4215-8b2d-8793672d3f1b/download/population_uzb_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/dfc9bb03-3b01-4f33-ba89-f28b0dfc6117/download/vut_children_under_five_2019-06-01_geotiff.zip',\n",
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" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/1b1497f0-a0ae-41a6-a120-1b4c5c00f2dc/download/vut_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/24a00666-fc8a-42ff-b034-1dbd4bed17de/download/vut_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/20c3a9b3-11db-4333-b421-50f5731a3c9d/download/vut_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/cd979858-9457-40a0-b279-0a42832f8f30/download/vut_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/111c6dda-37f5-459f-863e-39075f1f4f56/resource/775690b8-e8e0-4479-aabb-f6466ee738ed/download/population_vut_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/51532add-fa08-428a-8f02-74e41fa607a9/download/wlf_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/fcfb4a06-50da-4ccf-a111-0cf74ecb0a21/download/wlf_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/92b56548-86ef-4b94-ad22-7d8562a3d58c/download/wlf_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/28940ce7-3cc7-4c0c-bb8d-f4671840b7ba/download/wlf_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/d140f959-f0d3-4116-a9cc-3a5830831392/download/wlf_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/1672af57-047d-4650-bd87-3f72f04a2429/download/wlf_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/6f03111f-7f16-4e1e-a9c3-a07b6ce1478b/resource/a5b4e955-18dd-4166-b2e7-df0e4117c116/download/population_wlf_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/a2ca47a3-b7d7-4a39-a605-161d4790c6f9/download/vnm_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/61b6a396-ffcc-4710-a453-174914822164/download/vnm_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/76990cd9-a2dc-44e6-809c-492698b090c0/download/vnm_men_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/5bd99468-ea44-4a50-b64b-54343b182842/download/vnm_women_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/855e27d7-d191-440d-936a-ecedfded238d/download/vnm_women_of_reproductive_age_15_49_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/e36dce9f-ea1d-4933-8a37-dc5838df11f0/download/vnm_youth_15_24_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d/resource/fade8620-0935-4d26-b0c6-15515dd4bf8b/download/population_vnm_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/f8d1b3cf-fd3e-4be1-aadb-025466650b4a/resource/96f5afac-b88a-41ab-a388-f0e5bd924f89/download/population_npl_2018-10-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/f8d1b3cf-fd3e-4be1-aadb-025466650b4a/resource/cf39b21d-0cb5-45d1-a46a-a285ad41877a/download/npl_children_under_five_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/f8d1b3cf-fd3e-4be1-aadb-025466650b4a/resource/10e5e7d9-bb17-45cd-81bf-ac90053e53e3/download/npl_elderly_60_plus_2019-06-01_geotiff.zip',\n",
" 'https://data.humdata.org/dataset/f8d1b3cf-fd3e-4be1-aadb-025466650b4a/resource/824604c1-b538-47e6-9c89-d00dd4aafabf/download/npl_men_2019-06-01_geotiff.zip',\n",
" ...]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"resources = Dataset.get_all_resources(datasets_fbpop)\n",
"\n",
"url_lst = [resc['download_url'] for resc in resources if resc['format'].lower() == 'geotiff']\n",
"\n",
"url_lst"
]
},
{
"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": "3.7.9"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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