Add Data to the Plot
Let's improve our plot by adding data for one more country.
Compito
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Display the lines for the United States and Canada emission levels on a single chart. Follow the next steps:
- Create
FigureandAxesobjects assigned to variablesfig,axrespectively. - Save within the
canvariable data forCanada. - Use the same approach as for the
usadata for building a new line for thecandata.
Soluzione
# Import the libraries
import matplotlib.pyplot as plt
import pandas as pd
# Load the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/co2.csv', index_col = 0)
# Create Figure and Axes objects
fig, ax = plt.subplots()
# Save data for the US and Canada
usa = data.loc['United States']
can = data.loc['Canada']
# Initialize the plot
ax.plot(usa.index.astype(int), usa.values)
ax.plot(can.index.astype(int), can.values)
# Display the plot
plt.show()
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Sezione 1. Capitolo 5
# Import the libraries
import matplotlib.pyplot as plt
import pandas as pd
# Load the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/co2.csv', index_col = 0)
# Create Figure and Axes objects
fig, ax = ___()
# Save data for the US and Canada
usa = data.loc['United States']
can = data.loc['___']
# Initialize the plot
ax.plot(usa.index.astype(int), usa.values)
ax.plot(___, ___)
# Display the plot
plt.show()
