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Delete a column from a Pandas DataFrame

Delete a column from a Pandas DataFrame

In this blog post, we will discuss how to delete a column from a Pandas DataFrame. This is a very simple process, but it can be confusing for beginners.

We will walk you through the steps needed to delete a column, and explain what each step does.

Let’s get started!

Delete a column from a Pandas DataFrame

The first step is to import the Pandas library. We do this with the following code:

import pandas as pd

  • Next, we will create a DataFrame with some sample data. We can do this with the following code:]
df = pd.DataFrame({'A': [0, 0, 0], 'B': [0, 0, 0], 'C': [0, 0, 0]})

  • Now that we have our DataFrame created, we can delete a column.

To delete the ‘A’ column, we use the following code:

del df['A']

  • This code will delete the ‘A’ column from our DataFrame.

You can verify this by printing the DataFrame:

print(df)

This should give you the following output:

Get full code:

import pandas as pd

df = pd.DataFrame({'A': [0, 0, 0], 'B': [0, 0, 0], 'C': [0, 0, 0]})

del df['A']

print(df)

Output

B C
0 0 0
1 0 0
2 0 0

As you can see, the ‘A’ column has been successfully deleted.

Conclusion

That’s all there is to delete a column from a Pandas DataFrame! We hope this blog post has been helpful. If you have any questions, please leave a comment below. Thank you for reading!

Read More: How do I Get the Row Count of a Pandas Data Frame

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