How to Remove a Column from a Dataframe in Python

If you want to remove a column from a dataframe in Python, you can use the del statement. This will delete the column from the dataframe and return the new dataframe.

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Introduction

In this tutorial, we’ll show you how to remove a column from a dataframe in Python. We’ll use the example of a dataframe containing information on different kinds of fruit.

What is a Dataframe?

In computer programming, a dataframe is a structure that represents tabular data. It is similar to a table in a relational database, but it is more flexible because it can store data of different types. You can think of a dataframe as a spreadsheet with column names and row indices.

There are two ways to remove a column from a dataframe in Python. The first way is to use the drop() method. The second way is to use the del keyword.

The drop() method takes two arguments, the first is the name of the column to be dropped, and the second is the axis=1 argument which tells the method to drop the column from the dataframe.

The del keyword takes one argument, which is the name of the column to be deleted. When you use del, the column is removed from the dataframe, but it is not dropped from the database.

Both methods will remove the column from the dataframe, but only drop() will remove it from the database.

What is a Column?

In a database or spreadsheet, a column is a vertical set of cells. All the cells in a column contain the same type of data. For example, in a customer database, you might have columns for customer ID, name, address, and so on.

Why Would You Remove a Column from a Dataframe?

Columns can be removed from a DataFrame in three ways: .drop(), del df[”], or df.drop(columns=[]). The column will be removed from the DataFrame and the resulting DataFrame will be returned.

There are a few reasons why you would want to remove a column from a Dataframe:

-The column is not needed for further analysis
-The column is not formatted correctly and needs to be dropped and replaced with a corrected version
-The column is redundant with another column in the Dataframe

How to Remove a Column from a Dataframe in Python

There are a number of ways to remove a column from a dataframe in Python. One way is to use the drop() method. The drop() method takes two parameters: the name of the column to be dropped, and the axis along which the column should be dropped. The axis parameter is optional; if it is not specified, the default axis is 0 (the row axis).

For example, to drop the column ‘foo’ from the dataframe df:

df = df.drop(‘foo’, 1)

Alternatively, you can use the del keyword to delete columns from a dataframe:

del df[‘foo’]

Conclusion

In this article, we showed how to delete a column from a dataframe in Python using the Pandas library. We first created a new dataframe with only the desired columns, and then deleted the original dataframe. We hope you found this helpful!

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