Pandas DataFrame drop() Method

Example

Remove the "age" column from the DataFrame:

import pandas as pd

data = {
"name": ["Sally", "Mary", "John"],
"age": [50, 40, 30],
"qualified": [True, False, False]
}

df = pd.DataFrame(data)

newdf = df.drop("age", axis='columns')

print(newdf)

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Definition and Usage

The drop() method removes the specified row or column.

By specifying the column axis (axis='columns'), the drop() method removes the specified column.

By specifying the row axis (axis='index'), the drop() method removes the specified row.

Syntax

dataframe.drop(labels, axis, index, columns, level, inplace., errors)

Parameters

The axis, index, columns, level, inplace, errors parameters are keyword arguments.

Parameter	Value	Description
labels		Optional, The labels or indexes to drop. If more than one, specify them in a list.
axis	`0 1 'index' 'columns'`	Optional, Which axis to check, default 0.
index	String List	Optional, Specifies the name of the rows to drop. Can be used instead of the `labels` parameter.
columns	String List	Optional, Specifies the name of the columns to drop. Can be used instead of the `labels` parameter.
level	Number level name	Optional, default None. Specifies which level ( in a hierarchical multi index) to check along
inplace	`True False`	Optional, default False. If True: the removing is done on the current DataFrame. If False: returns a copy where the removing is done.
errors	`'ignore' 'raise'`	Optional, default 'ignore'. Specifies whether to ignore errors or not