>>> np.datetime64(10, 'Y')
numpy.datetime64('1980')
>>> np.datetime64('1980', 'Y')
numpy.datetime64('1980')
>>> np.datetime64(10, 'D')
numpy.datetime64('1970-01-11')
See arrays.datetime
for more information.
'M'
If created from a 64-bit integer, it represents an offset from 1970-01-01T00:00:00
. If created from string, the string can be in ISO 8601 date or datetime format.
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matplotlib.dates._dt64_to_ordinalf
pandas.core.generic.NDFrame.describe
pandas.core.dtypes.common.is_datetime64_dtype
pandas.core.groupby.groupby.GroupBy.describe
matplotlib.pyplot.plot_date
matplotlib.dates.get_epoch
pandas.core.dtypes.common.is_any_int_dtype
pandas.core.dtypes.common.is_integer_dtype
pandas.core.dtypes.common.is_signed_integer_dtype
matplotlib.dates.set_epoch
pandas.core.dtypes.common.is_datetime64_ns_dtype
pandas._libs.lib.infer_dtype
matplotlib.axes._axes.Axes.plot_date
pandas.core.dtypes.common.is_datetime_or_timedelta_dtype
numpy.datetime_data
pandas.core.dtypes.common.needs_i8_conversion
pandas.core.dtypes.common.is_datetime64_any_dtype
dask.array.routines.diff
pandas.core.dtypes.common.is_numeric_dtype
numpy.diff
pandas.core.groupby.generic.SeriesGroupBy.describe
pandas.core.dtypes.common.is_datetimelike_v_numeric
matplotlib.dates
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