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# Getting indexes of rows matching conditions in Pandas DataFrame

schedule Aug 10, 2023
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local_offer
PythonPandas
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Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4,3],"B":[6,7,8]}, index=['a','b','c'])df A Ba 3 6b 4 7c 3 8 ```

# Solution

To get the indexes of row matching a certain condition, use the `query(~)` method to perform filtering, and then fetch the corresponding index using `index`:

``` df.query("A == 3").index Index(['a', 'c'], dtype='object') ```

# Getting integer indexes of rows matching conditions

To get the integer indexes of rows matching certain conditions:

``` df.index.get_indexer(df.query("A == 3").index) array([0, 2]) ```

## Explanation

First obtain the indexes of the rows matching a certain condition:

``` df.query("A == 3").index Index(['a', 'c'], dtype='object') ```

We then use the `Index`'s `get_indexer(~)` method to get the integer indexes of these indexes.

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