GeoPandas, as the name suggests, extends the popular data science library pandas by adding support for geospatial data. If you are not familiar with pandas, we recommend taking a quick …

class geopandas.GeoDataFrame(data=None, *args, geometry=None, crs=None, **kwargs) [source] # A GeoDataFrame object is a pandas.DataFrame that has one or more columns …

To install GeoPandas and all its dependencies, we recommend to use the conda package manager. This can be obtained by installing the Anaconda Distribution (a free Python …

Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. This allows you to manipulate your data in Geopandas and …

geopandas.sjoin(left_df, right_df, how='inner', predicate='intersects', lsuffix='left', rsuffix='right', distance=None, on_attribute=None, **kwargs) [source] # Spatial join of two GeoDataFrames.

We use geopandas points_from_xy() to transform Longitude and Latitude into a list of shapely.Point objects and set it as a geometry while creating the GeoDataFrame. (note that …

[1]: import geopandas as gpd import geodatasets import folium import matplotlib.pyplot as plt Load geometries # This example uses the nybb dataset, which contains polygons of New York …

When specifying a URL, geopandas will check if the server supports reading partial data and in that case pass the URL as is to the underlying engine, which will then use the network file …

This is possible because GeoPandas makes use of the massive open-source program called GDAL/OGR designed to facilitate spatial data transformations, through the Python packages …

geopandas.GeoDataFrame.to_crs # GeoDataFrame.to_crs(crs=None, epsg=None, inplace=False) [source] # Transform geometries to a new coordinate reference system. …