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# Pandas DataFrame | isin method

schedule Aug 12, 2023
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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  B0  1  31  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      B0  True   True1  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      B0  True   False1  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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