A quick way to check for the count of unique rows in a pandas DataFrame is to use the .value_counts().plot(kind="bar") methods applied on a specific column.

Here is the code

# Import the Pandas library
import pandas as pd

# We create our example dataframe
df = pd.DataFrame({"countries" :  ["Germany", "USA", "Germany", "France"]})

# We plot the number of occurences
df["countries"].value_counts().plot(kind='bar')

The result

Here you are! You now know how to plot the count of unique rows in a pandas DataFrame using Python.

More on DataFrames

If you want to know more about DataFrame and Pandas. Check out the other articles I wrote on the topic, just here :

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