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Pandas DataFrame | infer_objects method
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Pandas
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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.
Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.infer_objects.html
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