How to Create a Boxplot in Python

A Boxplot is used to get a five-point summary of the distribution of data.

Seaborn is arguably the best library for plotting since it's easier to plot and understand without many lines of code.

In the Boxplot, the upper and lower lines protruding from the box are the whiskers which widen the distribution of values in the Boxplot they are 0.5* interquartile range. The box is the range of the distribution between the upper quartile and the lower quartile. The line drawn inside the box is the median line.

The upper and lower lines protruding from the box are called the whiskers, the box itself is the interquartile range which starts from the upper quartile, Q3 to the lower quartile Q1, and the mark that divides the box is the median.

You can make a Boxplot in seaborn by using the command:

Import seaborn as sns

sns.Boxplot(data)

Or

sns.Boxplot(x=df['col1'], y=df['col2'])

A Boxplot is best used for numerical data.

Since matplotlib is integrated inside pandas you can easily use the syntax
Data.plot(kind="box")