Matplotlib: Bar Plot

Bar chart is a type of a graph which can represent categorical data with a rectangular bars in which height is proportional to the values that we want to represent. In this graph one axis represent the specfic categories which we want to compare and other is used to represent measured values of those categories.

It can be plotted horizontally and vertically. Here vertical bar chart is offten reffered as column chart.

It can describe the comparisons between discrete categories.

Syntax

plt.bar(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs)

Parameters:

  • x: It implies x co-ordinates of the bars.
  • height: It is used for height of the bars.
  • bottom: The y co-ordinate of the bars.
  • align: It is used for alignment.

Example

import numpy as np
import matplotlib.pyplot as plt

# creating the datasets
data={'Maths':90,'Bio':79,'Chemsitry':89,'Physcis':95}
subject=list(data.keys())
marks=list(data.values())
fig = plt.figure(figsize = (10, 5))

#creating bar plot
plt.bar(subject, marks, color ='blue', width = 0.5)
plt.xlabel("Subject")
plt.ylabel("Marks")
plt.title("Student Marks")
plt.show()

Output:

bar plot

Thu, 11/25/2021 - 08:55

Authored by

Devanshi, is working as a Data Scientist with iVagus. She has expertise in Python, NumPy, Pandas and other data science technologies.
Tags