Page 235 - AI Ver 1.0 Class 10
P. 235
For example, marks of 5 subjects to compare, rise in population in five years, changing fuel price every month.
Various versions of bar charts exist like single bar chart, double bar chart, etc. can be used. Matplotlib uses a
built-in function bar() to create bar charts. For example,
import matplotlib.pyplot as plt
marks = [23,45,34,41,13,49]
plt.bar([“Eng”,“Maths”,“Science”,“SSt”,“2nd Lang”,“Computers”], marks)
plt.title(‘Bar Chart’)
plt.xlabel(‘Subjects’)
plt.ylabel(‘Marks’)
plt.show()
Output will be:
Bar Chart
50
40
30
Marks 20
10
0
Eng Maths Science SSt 2nd Computers
Subjects Lang
Pie Chart
Pie chart is a circular representation of data where each slice shows the relative size of the data. The data is a
complete circle equal to 360° with each segment and sectors forming a certain portion of the total(percentage).
Matplotlib uses a built-in function pie()to create pie charts. For example,
from matplotlib import pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
ax.axis(‘equal’)
subjects = [“Eng”,“Maths”,“Science”,“SSt”,“2nd Lang”,“Computers”]
marks = [23,45,34,41,13,49]
ax.pie(marks, labels = subjects, autopct = ‘%1.2f%%’)
plt.show()
Data Science 233

