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# Checking if a DataFrame column contains some values in Pandas

schedule Aug 11, 2023
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Consider the following DataFrame:

``` df = pd.DataFrame({"A":[2,3,4],"B":[5,6,7]})df A B0 2 51 3 62 4 7 ```

# Solution

To check if a DataFrame column contains some values in Pandas:

``` df["A"].isin([3,8]).any() True ```

Here, we're checking if column `A` contains either the value `3` or `8`.

# Explanation

We first fetch column `A` as a Series using `df["A"]`, and then we use `isin(~)` to obtain a boolean mask where `True` represents the presence of a value in the given list:

``` df["A"].isin([3,8]) # returns a Series of booleans 0 False1 True2 FalseName: A, dtype: bool ```

Here, we get `True` for row `1` since it holds the value `3`.

Finally, we use the Series' `any()` method that returns `True` if there is at least one `True` in the Series:

``` df["A"].isin([3,8]).any() True ```
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