Data Virtualization - Pie Chart

# Importing pandas and matplotlib

import pandas as pd

from  matplotlib import pyplot as plt 

# Read excel

Mydata7 = pd.read_excel('D:\\DATA SCIENCE Learning 2021\\DATA VIZ Python Basic\\file7.xlsx')

Mydata7

# Creating simple Pie Chart

mycolors = ["#E3CF57", "#66CDAA", "#CD3333", "#6495ED","blue","green"] 

# For color code, you can reference from  https://planetnz.blogspot.com/2022/02/color-code-in-ascii.html

plt.pie(Mydata7[2021], labels = Mydata7['City Population'], colors=mycolors,

        startangle=90, shadow = True, explode = (0, 0, 0.1, 0,0,0),

        radius = 1.3, autopct = '%1.1f%%')                    

              

#add the labels     

plt.title("City Population of 2021",fontsize = 18,pad = 14)     

    

# plotting legend

plt.legend(bbox_to_anchor = (1.2, 1))

 

# showing the plot

plt.show()

Source data table :

City Population	2019	2020	2021
Yangon	300,000	312,000	350,000
Mandalay	270,000	290,000	310,000
Sagaing	160,000	170,000	190,000
MonYwar	180,000	190,000	210,000
Harkhar	90,000	100,000	110,000
Loikaw	140,000	150,000	160,000

 

Reference Websites :

https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.pie.html?highlight=pie#matplotlib.axes.Axes.pie

https://www.w3schools.com/python/matplotlib_pie_charts.asp