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Pandas DataFrame | filter method

Pandas
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Documentation
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DataFrame
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Data Selection and Renaming
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.filter(~) method returns the rows or columns where the label matches the specified pattern.

WARNING

The method applies filtering based on the labels of the columns/rows, and not on the actual data.

Parameters

1. items | list-like | optional

Extract rows or columns where the label is included in items.

2. like | string | optional

Extract rows or columns where the label contains like.

3. regex | string (regular expression) | optional

Extract rows or columns where the label matches regex.

4. axis | int or string | optional

Whether to extract rows or columns:

Axis

Description

Extract rows.

0 or "index"

Extract columns.

1 or "columns"

By default, axis=1.

WARNING

You can only specify one out of items, like and regex.

Return value

A new DataFrame containing the rows or columns where the label matches the specified pattern.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2,3],"B":[4,5,6],"C":[7,8,9]}, index=["a","b","c"])
df
A B C
a 1 4 7
b 2 5 8
c 3 6 9

Specifying items

To get columns A and C:

df.filter(items=["A","C"])
A C
a 1 7
b 2 8
c 3 9

Getting rows

To get rows a and c:

df.filter(items=["a","c"], axis=0)
A B C
a 1 4 7
c 3 6 9

Specifying like and regex

Consider the following DataFrame:

df = pd.DataFrame({"ABC":[1,2,3],"BCD":[4,5,6],"E":[7,8,9]}, index=["a","b","c"])
df
ABC BCD E
a 1 4 7
b 2 5 8
c 3 6 9

To get columns where the label contains the substring "BC":

df.filter(like="BC")
ABC BCD
a 1 4
b 2 5
c 3 6

To get columns where the label contains the character "B":

df.filter(regex=".*B.*")
ABC BCD
a 1 4
b 2 5
c 3 6
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Published by Isshin Inada
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