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Plotting chicken locations

Now you will create a scatterplot that shows where the Nashville chickens are!

This exercise is part of the course

Visualizing Geospatial Data in Python

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Exercise instructions

  • The path to the chicken dataset is in the variable chickens_path. Use the read_csv function of pandas to load it into a DataFrame called chickens.
  • Use the .head() function to look at the first few rows.
  • Next add the x and y arguments to plt.scatter() to plot the locations of the Nashville chickens. Use the default marker and color options.
  • Show the plot using plt.show().

Hands-on interactive exercise

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

# Import pandas and matplotlib.pyplot using their customary aliases
import pandas as pd
import matplotlib.pyplot as plt

# Load the dataset
chickens = pd.____(chickens_path)

# Look at the first few rows of the chickens DataFrame
print(chickens.____())

# Plot the locations of all Nashville chicken permits
plt.scatter(x = chickens.____, y = chickens.____)

# Show the plot
plt.show()
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