You can use the following methods to plot a distribution of column values in a pandas DataFrame:

**Method 1: Plot Distribution of Values in One Column**

df['my_column'].plot(kind='kde')

**Method 2: Plot Distribution of Values in One Column, Grouped by Another Column**

df.groupby('group_column')['values_column'].plot(kind='kde')

The following examples show how to use each method in practice with the following pandas DataFrame:

import pandas as pd #create DataFrame df = pd.DataFrame({'team': ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'], 'points': [3, 3, 4, 5, 4, 7, 7, 7, 10, 11, 8, 7, 8, 9, 12, 12, 12, 14, 15, 17]}) #view DataFrame print(df) team points 0 A 3 1 A 3 2 A 4 3 A 5 4 A 4 5 A 7 6 A 7 7 A 7 8 A 10 9 A 11 10 B 8 11 B 7 12 B 8 13 B 9 14 B 12 15 B 12 16 B 12 17 B 14 18 B 15 19 B 17

**Example 1: Plot Distribution of Values in One Column**

The following code shows how to plot the distribution of values in the **points** column:

#plot distribution of values in points column df['points'].plot(kind='kde')

Note that** kind=’kde’** tells pandas to use **kernel density estimation**, which produces a smooth curve that summarizes the distribution of values for a variable.

If you’d like to create a histogram instead, you can specify **kind=’hist’** as follows:

#plot distribution of values in points column using histogram df['points'].plot(kind='hist', edgecolor='black')

This method uses bars to represent frequencies of values in the **points** column as opposed to a smooth line that summarizes the shape of the distribution.

**Example 2: Plot Distribution of Values in One Column, Grouped by Another Column**

The following code shows how to plot the distribution of values in the **points** column, grouped by the **team** column:

import matplotlib.pyplot as plt #plot distribution of points by team df.groupby('team')['points'].plot(kind='kde') #add legend plt.legend(['A', 'B'], title='Team') #add x-axis label plt.xlabel('Points')

The blue line shows the distribution of points for players on team A while the orange line shows the distribution of points for players on team B.

**Additional Resources**

The following tutorials explain how to perform other common tasks in pandas:

How to Add Titles to Plots in Pandas

How to Adjust the Figure Size of a Pandas Plot

How to Plot Multiple Pandas DataFrames in Subplots

How to Create and Customize Plot Legends in Pandas