Density plots are another way to have a quick glance at a variable distribution.

Density plots have some advantages over histograms since they don't care about the number of bins shown.

In other words, we have a clearer view of what's happening behind the hood.

Here is a super simple example of a density 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="density")

As we can see we are using the DataFrame.plot() method and passing a kind="density" 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 density 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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The Python You Need