pandas.DataFrame.infer_objects#

DataFrame.infer_objects(copy=None)[source]#

Attempt to infer better dtypes for object columns.

Attempts soft conversion of object-dtypedcolumns, leaving non-object and unconvertiblecolumns unchanged. The inference rules are thesame as during normal Series/DataFrame construction.

Parameters:

copybool, default True

Whether to make a copy for non-object or non-inferable columnsor Series.

Note

Thecopy keyword will change behavior in pandas 3.0.Copy-on-Writewill be enabled by default, which means that all methods with acopy keyword will use a lazy copy mechanism to defer the copy andignore thecopy keyword. Thecopy keyword will be removed in afuture version of pandas.

You can already get the future behavior and improvements throughenabling copy on writepd.options.mode.copy_on_write=True

Returns:

same type as input object

See also

to_datetime

Convert argument to datetime.

to_timedelta

Convert argument to timedelta.

to_numeric

Convert argument to numeric type.

convert_dtypes

Convert argument to best possible dtype.

Examples

>>>df=pd.DataFrame({"A":["a",1,2,3]})>>>df=df.iloc[1:]>>>df   A1  12  23  3

>>>df.dtypesA    objectdtype: object

>>>df.infer_objects().dtypesA    int64dtype: object