Parameters

objects : ndarray[object]

Array of object elements to convert.

try_float : bool, default False

If an array-like object contains only float or NaN values is encountered, whether to convert and return an array of float dtype.

safe : bool, default False

Whether to upcast numeric type (e.g. int cast to float). If set to True, no upcasting will be performed.

convert_datetime : bool, default False

If an array-like object contains only datetime values or NaT is encountered, whether to convert and return an array of M8[ns] dtype.

convert_timedelta : bool, default False

If an array-like object contains only timedelta values or NaT is encountered, whether to convert and return an array of m8[ns] dtype.

convert_period : bool, default False

If an array-like object contains only (homogeneous-freq) Period values or NaT, whether to convert and return a PeriodArray.

convert_interval : bool, default False

If an array-like object contains only Interval objects (with matching dtypes and closedness) or NaN, whether to convert to IntervalArray.

convert_to_nullable_integer : bool, default False

If an array-like object contains only integer values (and NaN) is encountered, whether to convert and return an IntegerArray.

dtype_if_all_nat : np.dtype, ExtensionDtype, or None, default None

Dtype to cast to if we have all-NaT.

Returns

np.ndarray or ExtensionArray

Array of converted object values to more specific dtypes if applicable.

Type inference function-- convert object array to proper dtype

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.strings.object_array.ObjectStringArrayMixin._str_map pandas._libs.lib.map_infer_mask

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