Package: geodatasets
geodatasetsFetch links or download and cache spatial data example files.Thegeodatasetscontains an API on top of a JSON with metadata of externally hosted
datasets containing geospatial information useful for illustrative and educational
purposes.See the documentation atgeodatasets.readthedocs.io/.InstallFrom PyPI:pipinstallgeodatasetsor usingcondaormambafrom conda-forge:condainstallgeodatasets-cconda-forgeThe development version can be installed usingpipfrom GitHub.pipinstallgit+https://github.com/geopandas/geodatasets.gitHow to useThe package comes with a database of datasets. To see all:In[1]:importgeodatasetsIn[2]:geodatasets.dataOut[2]:{'geoda':{'airbnb':{'url':'https://geodacenter.github.io/data-and-lab//data/airbnb.zip','license':'NA','attribution':'Center for Spatial Data Science, University of Chicago','name':'geoda.airbnb','description':'Airbnb rentals, socioeconomics, and crime in Chicago','geometry_type':'Polygon','nrows':77,'ncols':21,'details':'https://geodacenter.github.io/data-and-lab//airbnb/','hash':'a2ab1e3f938226d287dd76cde18c00e2d3a260640dd826da7131827d9e76c824','filename':'airbnb.zip'},'atlanta':{'url':'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip','license':'NA','attribution':'Center for Spatial Data Science, University of Chicago','name':'geoda.atlanta','description':'Atlanta, GA region homicide counts and rates','geometry_type':'Polygon','nrows':90,'ncols':24,'details':'https://geodacenter.github.io/data-and-lab//atlanta_old/','hash':'a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09','filename':'atlanta_hom.zip','members':['atlanta_hom/atl_hom.geojson']},...There is also a convenient top-level API. One to get only the URL:In[3]:geodatasets.get_url("geoda airbnb")Out[3]:'https://geodacenter.github.io/data-and-lab//data/airbnb.zip'And one to get the local path. If the file is not available in the cache, it will be
downloaded first.In[4]:geodatasets.get_path('geoda airbnb')Out[4]:'/Users/martin/Library/Caches/geodatasets/airbnb.zip'You can also get all the details:In[5]:geodatasets.data.geoda.airbnbOut[5]:{'url':'https://geodacenter.github.io/data-and-lab//data/airbnb.zip','license':'NA','attribution':'Center for Spatial Data Science, University of Chicago','name':'geoda.airbnb','description':'Airbnb rentals, socioeconomics, and crime in Chicago','geometry_type':'Polygon','nrows':77,'ncols':21,'details':'https://geodacenter.github.io/data-and-lab//airbnb/','hash':'a2ab1e3f938226d287dd76cde18c00e2d3a260640dd826da7131827d9e76c824','filename':'airbnb.zip'}Or using the name query:In[6]:geodatasets.data.query_name('geoda airbnb')Out[6]:{'url':'https://geodacenter.github.io/data-and-lab//data/airbnb.zip','license':'NA','attribution':'Center for Spatial Data Science, University of Chicago','name':'geoda.airbnb','description':'Airbnb rentals, socioeconomics, and crime in Chicago','geometry_type':'Polygon','nrows':77,'ncols':21,'details':'https://geodacenter.github.io/data-and-lab//airbnb/','hash':'a2ab1e3f938226d287dd76cde18c00e2d3a260640dd826da7131827d9e76c824','filename':'airbnb.zip'}The whole structureBunchclass is based on a dictionary and can be flattened. If you want
to see all available datasets, you can use:In[7]:geodatasets.data.flatten().keys()Out[7]:dict_keys(['geoda.airbnb','geoda.atlanta','geoda.cars','geoda.charleston1','geoda.charleston2','geoda.chicago_health','geoda.chicago_commpop','geoda.chile_labor','geoda.cincinnati','geoda.cleveland','geoda.columbus','geoda.grid100','geoda.groceries','geoda.guerry','geoda.health','geoda.health_indicators','geoda.hickory1','geoda.hickory2','geoda.home_sales','geoda.houston','geoda.juvenile','geoda.lansing1','geoda.lansing2','geoda.lasrosas','geoda.liquor_stores','geoda.malaria','geoda.milwaukee1','geoda.milwaukee2','geoda.ncovr','geoda.natregimes','geoda.ndvi','geoda.nepal','geoda.nyc','geoda.nyc_earnings','geoda.nyc_education','geoda.nyc_neighborhoods','geoda.orlando1','geoda.orlando2','geoda.oz9799','geoda.phoenix_acs','geoda.police','geoda.sacramento1','geoda.sacramento2','geoda.savannah1','geoda.savannah2','geoda.seattle1','geoda.seattle2','geoda.sids','geoda.sids2','geoda.south','geoda.spirals','geoda.stlouis','geoda.tampa1','geoda.us_sdoh','ny.bb','eea.large_rivers','naturalearth.land'])