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# Expanding lists vertically in a DataFrame in Pandas

schedule Aug 12, 2023
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local_offer
PythonPandas
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To expand lists vertically in a Pandas DataFrame, use the DataFrame's `explode(~)` method.

# Example

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[["a","b"], [],"c"],"B":[4,5,6]})df A B0 [a,b] 41 [] 52 c 6 ```

To vertically expand the lists so that each item in the lists get their own row:

``` df.explode("A") A B0 a 40 b 41 NaN 52 c 6 ```

Note the following:

• the index `0` was duplicated since its list contains two values (`["a","b"]`)

• the `[]` list was converted into `NaN`.

If you want non-duplicate index values, call `reset_index(~)`, which will reset the index to the default integer index:

``` df.explode("A").reset_index(drop=True) A B0 a 41 b 42 NaN 53 c 6 ```

Here, the `drop=True` is needed - otherwise the current index will be appended as a column.

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