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Pandas DataFrame | infer_objects method

schedule Aug 12, 2023
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Pandas `DataFrame.infer_objects(~)` method converts columns that are of data-type `object` to a more specific type by inferring from its data.

Parameters

This method does not take any parameters.

Return Value

A DataFrame with the inferred type.

Examples

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[True,3,4]})df_sliced = df[1:]df_sliced A1 32 4 ```

Since the base `df` had a `True` mixed in there, the `df_sliced` ends up with a data-type of `object`:

``` df_sliced.dtypes A objectdtype: object ```

We can convert the data-type of this column to a more specific one by using the `infer_objects(~)` method:

``` df_inferred = df_sliced.infer_objects()df_inferred.dtypes A int64dtype: object ```

We see that the new inferred type is spot on.

NOTE

Converting general types like `object` to more specific types like `int` is called downcasting.

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