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https://numpy.org/devdocs/reference/routines.datetime.html
busdaycalendar ([weekmask, holidays]). A business day calendar object that efficiently stores information defining valid days for the busday family of functions. is_busday (dates[, weekmask, holidays, …]). Calculates which of the given dates are valid days, and which are not.
https://docs.scipy.org/doc/numpy/reference/arrays.datetime.html
Starting in NumPy 1.7, there are core array data types which natively support datetime functionality. The data type is called “datetime64”, so named because “datetime” is already taken by the datetime library included in Python.
https://docs.scipy.org/doc/numpy-1.17.0/reference/routines.datetime.html
busdaycalendar ([weekmask, holidays]): A business day calendar object that efficiently stores information defining valid days for the busday family of functions. is_busday (dates[, weekmask, holidays, …]): Calculates which of the given dates are valid days, and which are not.
https://numpy.org.cn/en/reference/routines/datetime.html
NumPy is the fundamental package for scientific computing with Python. NumPy 中文网 About. User Guide. Reference. Awesome. Other Document. ... # Datetime Support Functions. method description; datetime_as_string (arr[, unit, timezone, …]) Convert an array of datetimes into an array of strings.
https://numpy.org/devdocs/reference/generated/numpy.datetime_as_string.html
Jan 24, 2020 · numpy.datetime_as_string (arr, unit=None, timezone='naive', casting='same_kind') ¶ Convert an array of datetimes into an array of strings. Parameters arr array_like of datetime64. The array of UTC timestamps to format. unit str. One of None, ‘auto’, or a datetime unit. timezone {‘naive’, ‘UTC’, ‘local’} or tzinfo. Timezone ...
https://docs.scipy.org/doc/numpy/reference/generated/numpy.datetime_as_string.html
Jul 26, 2019 · TypeError: Cannot create a datetime string as units 'h' from a NumPy datetime with units 'm' according to the rule 'safe' Previous topic Datetime Support Functions
https://numpy.org/devdocs/reference/routines.html
>>> import numpy as np A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation. Array creation routines
https://numpy.org/devdocs/reference/generated/numpy.datetime_data.html
numpy.datetime_data¶ numpy.datetime_data (dtype, /) ¶ Get information about the step size of a date or time type. The returned tuple can be passed as the second argument of numpy.datetime64 and numpy.timedelta64. Parameters dtype dtype. The dtype object, which must be a datetime64 or timedelta64 type. Returns unit str. The datetime unit on ...
https://numpy.org.cn/en/reference/routines/dtype.html
method description; can_cast (from_, to[, casting]): Returns True if cast between data types can occur according to the casting rule. promote_types (type1, type2): Returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast.
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