Create a Simple Bar Chart
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You are given dataframe data with rainfall information for Indian cities/districts. Your tasks are:
- Filter the observations from
dataso that only rainfall data for'NEW DELHI'will remain. Save this information within thenew_delhivariable. - Create
AxesandFigureobjects (usefix, axvariables). - Initialize a bar chart with
Monthcolumn values on the x-axis andRainfallcolumn values on the y-axis (new_delhidata).
Solution
# Import the libraries
import pandas as pd
import matplotlib.pyplot as plt
# Load the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/rainfall+in+india.csv', index_col = 0)
# Filter to certain city
new_delhi = data.loc['NEW DELHI']
# Create Axes and Figure objects
fig, ax = plt.subplots()
# Initialize the bar chart
ax.bar(new_delhi['Month'], new_delhi['Rainfall'])
# Display the plot
plt.show()
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Section 2. Chapitre 2
# Import the libraries
import pandas as pd
import matplotlib.pyplot as plt
# Load the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/rainfall+in+india.csv', index_col = 0)
# Filter to certain city
new_delhi = data.loc['___']
# Create Axes and Figure objects
fig, ax = plt.___()
# Initialize the bar chart
ax.bar(new_delhi['___'], ___)
# Display the plot
plt.show()
