Matplotlib library in Python

A good, organized pictorial representation of the data makes it easier to understand, observe and analyze.

Matplotlib is an easy-to-use, low-level data visualization library that is built on NumPy arrays. It consists of various plots like scatter plots, line plots, histograms, etc.

To install this type the below command in the terminal.

pip install matplotlib

Pyplot is a subpackage used to build plots.

import matplotlib.pyplot as plt

Bar Graph

• A bar chart uses bars to show comparisons between categories of data.

plt.bar(x_component,y_component)

Scatter plot

• A scatter plot is for any relationship pattern between two quantitative variables.

plt.scatter(x_axis,y_axis)

Line Graph

• A line graph is used to track variations over time.

plt.plot(x_axis, y_axis)

Adding Titles and Labels

• plt.xlabel( ), plt.ylabel( ) are used to specify labels for x axis and yaxis.

• plt.title( ) is used to add title to the plot.

• plt.show( ) is the command required to display the plot object.

Here is an example of a bar plot. It consists of number of students enrolled in different courses offered at an institute.

import matplotlib.pyplot as plt

langs = ['C', 'C++', 'Java', 'Python', 'PHP']
students = [24,19,25,32,16]

plt.bar(langs,students ,color = 'skyblue')

plt.xlabel('Programing Languages')
plt.ylabel('Number of students')
plt.title("No. of students enrolled in different courses")

plt.show()

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