Prepare to calculate distances

In this exercise you will prepare a GeoDataFrame called art_dist_meters with the locations of downtown art converted to meters using EPSG:3857. You will use art_dist_meters in the next exercise to calculate the distance of each artwork from the center of the Urban Residents neighborhood in meters.

The art data has been pre-loaded for you, along with urban_poly_3857 and center_point, the center point of the Urban Residents neighborhood. A geometry column called geometry that uses degrees has already been created in the art DataFrame.

This exercise is part of the course

Visualizing Geospatial Data in Python

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Exercise instructions

Create a GeoDataFrame called art_dist_meters, using the art DataFrame and the geometry column from art. Set crs = 'epsg:4326' since the geometry is in decimal degrees. Print the first two rows.
Now explicitly set the coordinate reference system to EPSG:3857 for art_dist_meters by using to_crs(). Print the first two rows again.
Add a column called center to art_dist_meters, setting it equal to center_point for every row .

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import packages
from shapely.geometry import Point
import geopandas as gpd
import pandas as pd

# Create art_dist_meters using art and the geometry from art
art_dist_meters = gpd.GeoDataFrame(art, geometry = ____.____, ____ = 'epsg:4326')
print(art_dist_meters.head(2))

# Set the crs of art_dist_meters to use EPSG:3857
art_dist_meters.geometry = art_dist_meters.geometry.____(____ = 3857)
print(art_dist_meters.head(2))

# Add a column to art_meters, center
art_dist_meters['____'] = center_point

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