Create a Simple Line Chart
Compito
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Build a line chart representing the level of CO2 emissions (metric tonnes of CO2 per person) for the US. Follow the next steps:
- Import the
matplotlib.pyplotunder thepltalias. - Save the
United Statesdata in theusavariable. - Create
FigureandAxesobjects using the.subplots()method ofpltand assign them to variablesfig, andax, respectively. - Initialize a line chart:
- display years on the x-axis (use the
.indexattribute), convert them to integers (int); - display level of emissions on the y-axis (use the
.valuesattribute).
- display years on the x-axis (use the
- Display the plot.
Once you've completed this task, click the button below the code to check your solution.
Soluzione
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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)
# Filter the data
usa = data.loc["United States"]
# Create Figure and Axes objects
fig, ax = plt.subplots()
# Initialize the plot
ax.plot(usa.index.astype(int), usa.values)
# Display the plot
plt.show()
Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.
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Sezione 1. Capitolo 3
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# Import the libraries
import ___
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)
# Filter the data
usa = data.loc["___"]
# Create Figure and Axes objects
fig, ax = ___
# Initialize the plot
ax.___(usa.___.astype(___), usa.___)
# Display the plot
plt.___()
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