Add Data to the Plot
Let's improve our plot by adding data for one more country.
Aufgabe
Swipe to start coding
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.
Lösung
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# 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()
War alles klar?
Danke für Ihr Feedback!
Abschnitt 1. Kapitel 5
single
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# 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()
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