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# Drawing frequency histogram of Pandas DataFrame column

schedule Aug 12, 2023
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Consider the following DataFrame:

``` import pandas as pddf = pd.DataFrame({ 'class':['A','A','B','A','B','C'], 'name':['alex','bob','cathy','doge','eric','fred']})df class name0 A alex1 A bob2 B icathy3 A doge4 B eric5 C fred ```

# Using matplotlib

To draw a frequency histogram of the `class` column:

``` import matplotlib.pyplot as pltplt.hist(df['class'])plt.ylabel('Frequency count')plt.xlabel('Data');plt.title('My histogram')plt.show() ```

This gives you the following plot:

# Using seaborn

The other alternative is to use the `seaborn` library:

``` import seaborn as snssns.countplot(x=df['class']) ```

We get the following:

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