Put legend outside the Matplotlib plot with Pandas in Python
In this tutorial, you will learn how to put Legend outside the plot using Python with Pandas.
A legend is an area of a chart describing all parts of a graph. It is used to help readers understand the data represented in the graph.
Libraries Used:
We will be using 2 libraries present in Python.
- Pandas
This is a popular library for data analysis. - Matplotlib
Matplotlib is a multiplatform data visualization library that is used to produce 2D plots of arrays, such as a line, scatter, bar etc.
Syntax:
pd.DataFrame().T
plt.figure()
plt.title(' ', color=' ')
This function is used to give the title for the plotted figure, and the argument color specifies the font color of the text.
d.plot(kind=' ',ax=f.gca())
This is used to specify the kind of chart we need such as line, bar.
‘line’ – line plot
‘bar’ – vertical bar plot
‘hist’ – histogram
‘pie’ – pie plot
‘scatter’ – scatter plot
ax is a matplotlib axes object and .gca() is used to get the current axes instance for the figure.
plt.legend(loc=' ',bbox_to_anchor=())
This function is used to specify the location and the exact coordinates to display the legend in the figure.
loc – specifies the location of the legend
bbox_to_anchor – states the exact coordinates of the legend.
plt.show()
This function is used to display the plotted figure.
Python program: Put legend outside the Matplotlib plot with Pandas
import pandas as pd import matplotlib.pyplot as plt data = {'1': {1: 20, 2: 21, 3: 22}, '2': {1: 23, 2: 24, 3: 25}} d = pd.DataFrame(data).T f = plt.figure() plt.title('Legend Outside', color='black') d.plot(kind='bar', ax=f.gca()) plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5)) plt.show()
The output of the above program is given in the figure below:
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