Pandas: The way to Form and Customise Plot Legends

You’ll be able to usefulness refer to ordinary syntax so as to add a legend to a plot in pandas:

plt.legend(['A', 'B', 'C', 'D'], loc="heart left", name="Legend Name")

Refer to instance displays easy methods to usefulness this syntax in apply.

Instance: Form and Customise Plot Legend in Pandas

Assume we now have refer to pandas DataFrame:

import pandas as pd

#build DataFrame
df = pd.DataFrame({'A':7, 'B':12, 'C':15, 'D':17}, index=['Values'])

We will be able to usefulness refer to syntax to build a bar chart to visualise the values within the DataFrame and upload a legend with customized labels:

import matplotlib.pyplot as plt

#build bar chart
df.plot(sort='bar')

#upload legend to bar chart
plt.legend(['A Label', 'B Label', 'C Label', 'D Label'])

We will be able to additionally usefulness the loc argument and the name argument to change the positioning and the name of the legend:

import matplotlib.pyplot as plt

#build bar chart
df.plot(sort='bar')

#upload customized legend to bar chart
plt.legend(['A Label', 'B Label', 'C Label', 'D Label'],
            loc="higher left", name="Labels")

Finally, we will usefulness the measurement argument to change the font measurement within the legend:

import matplotlib.pyplot as plt

#build bar chart
df.plot(sort='bar')

#upload customized legend to bar chart
plt.legend(['A Label', 'B Label', 'C Label', 'D Label'], prop={'measurement': 20})

Realize that the font measurement within the legend is far better now.

Alternative Sources

Refer to tutorials give an explanation for easy methods to carry out alternative usual operations in pandas:

The way to Form a Pie Chart From Pandas DataFrame
The way to Produce a Scatterplot From Pandas DataFrame
The way to Form a Histogram from Pandas DataFrame