pandas 1.4.2

ParametersReturns
_convert_listlike_datetimes(arg, format: 'str | None', name: 'Hashable' = None, tz: 'Timezone | None' = None, unit: 'str | None' = None, errors: 'str' = 'raise', infer_datetime_format: 'bool' = False, dayfirst: 'bool | None' = None, yearfirst: 'bool | None' = None, exact: 'bool' = True)

Parameters

arg : list, tuple, ndarray, Series, Index

date to be parsed

name : object

None or string for the Index name

tz : object

None or 'utc'

unit : str

None or string of the frequency of the passed data

errors : str

error handing behaviors from to_datetime, 'raise', 'coerce', 'ignore'

infer_datetime_format : bool, default False

inferring format behavior from to_datetime

dayfirst : bool

dayfirst parsing behavior from to_datetime

yearfirst : bool

yearfirst parsing behavior from to_datetime

exact : bool, default True

exact format matching behavior from to_datetime

Returns

Index-like of parsed dates

Helper function for to_datetime. Performs the conversions of 1D listlike of dates

Examples

See :

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File: /pandas/core/tools/datetimes.py#289
type: <class 'function'>
Commit: