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# Getting index of Series where value is True

schedule Aug 12, 2023
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local_offer
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Consider the following `Series`:

``` s = pd.Series([True,False,True], index=["A","B","C"])s A TrueB FalseC Truedtype: bool ```

# Series Index

## Solution

To get the index of values that equal `True`:

``` s[s].index Index(['A', 'C'], dtype='object') ```

## Explanation

We're using a clever trick where we treat `s` as a boolean mask so that we can exclude all the `False` values:

``` s[s] A TrueC Truedtype: bool ```

Now, all we have to do is to get the `index`:

``` s[s].index Index(['A', 'C'], dtype='object') ```

# Integer Index

## Solution

To get the integer index of values that equal `True`, use NumPy's `where(~)` method:

``` s = pd.Series([True, False, True])np.where(s)[0] # returns a NumPy array array([0, 2]) ```

Here, `where(~)` returns a tuple of size one, so we are using `[0]` to fetch the array.

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