How to generate PIE plot in Python?
This recipe helps you generate PIE plot in Python
Recipe Objective
Ploting a visual figure of data distribution helps us a lot in analysing a data.
So this is the recipe on how we can generate PIE plot in Python.
Master the Art of Data Cleaning in Machine Learning
Table of Contents
Step 1 - Import the library
import pandas as pd
import matplotlib.pyplot as plt
We have imported matplotlib.pyplot and pandas which is needed.
Step 2 - Creating DataFrame
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"])
print(); print(df)
We have created a dictionary with various features and we have passed it through pd.DataFrame to create a dataset.
Step 3 - Ploting Pie Plot
We have created a new feature which will store the sum of all the data of which we want to create Pie Plot.
df["total_arrests"] = df["jan_arrests"] + df["feb_arrests"] + df["march_arrests"]
print(df)
We have made an array of colour code and used it in ploting pie chart. We have ploted Pie cart using Pli.pie by passing the data of which we want to plot it.
colors = ["#E13F29", "#D69A80", "#D63B59", "#AE5552", "#CB5C3B", "#EB8076", "#96624E"]
plt.pie(df["total_arrests"], labels=df["officer_name"], shadow=False,
colors=colors, explode=(0, 0, 0, 0, 0.15), startangle=90, autopct="%1.1f%%")
Finally we are printing the Pie Chart
plt.axis("equal")
plt.tight_layout(); plt.show()
officer_name jan_arrests feb_arrests march_arrests
0 Jason 4 25 5
1 Molly 24 94 43
2 Tina 31 57 23
3 Jake 2 62 23
4 Amy 3 70 51
officer_name jan_arrests feb_arrests march_arrests total_arrests
0 Jason 4 25 5 34
1 Molly 24 94 43 161
2 Tina 31 57 23 111
3 Jake 2 62 23 87
4 Amy 3 70 51 124
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