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CSE 163

Geospatial Data / Geopandas

��Hunter Schafer

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💬Before class: Do you like the weather in Seattle?

🎵Music: Lawrence

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Geopandas

  • Exactly like pandas, but with some extra features for geo data
  • Types
    • GeoDataFrame
    • GeoSeries

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import geopandas as gpd

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df = gpd.read_file('data_File.shp')

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df.plot(column='some_col', legend=True)

plt.savefig('plot.png')

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zip

  • zip is a helpful built-in function to help you combine lists

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  • Note: zip does not return a list! It returns a generator
    • Can only access the values by iterating over them
    • Can only be used once! Iterating “consumes” the series

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x = [1,2,3]

y = [4,5,6]

zip(x, y)

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Matplotlib

  • Before, we were using a lot of matplotlib stuff blindly
  • Default plots gets plotted on a global figure (think canvas)
    • Multiple plots would overwrite each other
  • You have to do extra work to get more information on the same set of axes.

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fig, ax = plt.subplots(1)

<plot1>(ax=ax)

<plot2>(ax=ax)

fig.savefig('plot.png')

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Hurricane Florence

Demo

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Group Work:

Best Practices

When you first working with this group:

  • Introduce yourself!
  • If possible, angle one of your screens so that everyone can discuss together

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Tips:

  • Starts with making sure everyone agrees to work on the same problem
  • Make sure everyone gets a chance to contribute!
  • Ask if everyone agrees and periodically ask each other questions!
  • Call TAs over for help if you need any!

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