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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Title
Step1:  Create dataframe
Step2:  Make plot
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Python Code:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
Explanation: Title: Pie Chart In MatPlotLib
Slug: matplotlib_pie_chart
Summary: Pie Chart In MatPlotLib
Date: 2016-05-01 12:00
Category: Python
Tags: Data Visualization
Authors: Chris Albon  
Based on: Sebastian Raschka.
Preliminaries
End of explanation
raw_data = {'officer_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
        'jan_arrests': [4, 24, 31, 2, 3],
        'feb_arrests': [25, 94, 57, 62, 70],
        'march_arrests': [5, 43, 23, 23, 51]}
df = pd.DataFrame(raw_data, columns = ['officer_name', 'jan_arrests', 'feb_arrests', 'march_arrests'])
df
# Create a column with the total arrests for each officer
df['total_arrests'] = df['jan_arrests'] + df['feb_arrests'] + df['march_arrests']
df
Explanation: Create dataframe
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# Create a list of colors (from iWantHue)
colors = ["#E13F29", "#D69A80", "#D63B59", "#AE5552", "#CB5C3B", "#EB8076", "#96624E"]
# Create a pie chart
plt.pie(
    # using data total)arrests
    df['total_arrests'],
    # with the labels being officer names
    labels=df['officer_name'],
    # with no shadows
    shadow=False,
    # with colors
    colors=colors,
    # with one slide exploded out
    explode=(0, 0, 0, 0, 0.15),
    # with the start angle at 90%
    startangle=90,
    # with the percent listed as a fraction
    autopct='%1.1f%%',
    )
# View the plot drop above
plt.axis('equal')
# View the plot
plt.tight_layout()
plt.show()
Explanation: Make plot
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