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Pandas DataFrame | infer_objects method

schedule Aug 12, 2023
Last updated
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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
A
1 3
2 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 object
dtype: 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 int64
dtype: 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.

robocat
Published by Isshin Inada
Edited by 0 others
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