Histograms are extremely useful when you want to have a quick glance at a variable distribution.

Here is a super simple example of a histogram plot, using the Pandas library.

import pandas as pd

# We read a sample dataset from the web.
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/'\
                 'seaborn-data/master/iris.csv')

df["sepal_length"].plot(kind="hist")

As we can see we are using the DataFrame.plot() method and passing a kind="hist" argument.

In this example, we are plotting the sepal_length variable.

Here is the result.

Here you are! You now know how to do a histogram plot with Pandas using Python.

More on plots

If you want to know more about how to add labels, plot different types of plots, etc... check out the other articles I wrote on the topic, just here :

Matplotlib - The Python You Need

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