Create a Horizontal Bar Chart
Task
Swipe to start coding
For the same dataframe data build a horizontal bar chart representing the average monthly rainfall level for New Delhi and Madurai. Follow the next steps:
- Initialize horizontal bar chart for the
new_delhidata. Use values of the'Month'column as the first parameter and values of the'Rainfall'column as the second one. - Initialize horizontal bar chart for the
maduraidata and place it to the right of previously built data (new_delhi). Setlabelparameter to'Madurai'.
Solution
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# 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 cities
new_delhi = data.loc['NEW DELHI']
madurai = data.loc['MADURAI']
# Create Axes and Figure objects
fig, ax = plt.subplots()
# Initialize the bar chart
ax.barh(new_delhi['Month'], new_delhi['Rainfall'], label = 'New Delhi')
ax.barh(madurai['Month'], madurai['Rainfall'], label = 'Madurai', left = new_delhi['Rainfall'])
# Display the legend and the plot
plt.legend()
plt.show()
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Section 2. Chapter 8
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# 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 cities
new_delhi = data.loc['NEW DELHI']
madurai = data.loc['MADURAI']
# Create Axes and Figure objects
fig, ax = plt.subplots()
# Initialize the bar chart
___(new_delhi['Month'], new_delhi['___'], label = 'New Delhi')
___(madurai['Month'], madurai['Rainfall'], label = '___', ___ = ___['Rainfall'])
# Display the legend and the plot
plt.legend()
plt.show()
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