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Pandas DataFrame | isin method

Programming
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Python
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Pandas
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DataFrame
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Data Indexing and Masks
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.isin(~) method checks if certain values are present in the DataFrame.

Parameters

1. values | array or dict

The values whose presence you want to check for in the DataFrame.

Return Value

A DataFrame of booleans, where True represents a match between a value in the DataFrame and the specified value(s).

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df
   A  B
0  1  3
1  2  4

Checking for the presence of certain values

In the entire DataFrame

To check for the presence of certain values in the entire DataFrame, provide an array like follows:

df.isin([1,3])
   A      B
0  True   True
1  False  False

Here, cells A0 and B0 are flagged as True because they contain the values 1 and 3 respectively,

In certain columns

We can specify which columns to check by providing a dict, like follows:

df.isin({"A":[1,3]})
   A      B
0  True   False
1  False  False

Here, even though cell B0 contains the value 3, it is still flagged as False. This is because we have specified in the argument that we are only interested in checking for the values at column A - all other columns are ignored and automatically flagged as False.

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Published by Isshin Inada
Edited by 0 others
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