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How to convert from pandas.DatetimeIndex to numpy.datetime64?
I get:
>>> type(df.index.to_datetime())
Out[56]: pandas.tseries.index.DatetimeIndex
Is it safe to do numpy.array(datetimeindex,dtype=numpy.datetime64)?
760
datetime64() method, we can get the date in a numpy array in a particular format i.e year-month-day by using numpy. datetime64() method. Syntax : numpy.datetime64(date) Return : Return the date in a format 'yyyy-mm-dd'.
DatetimeIndex [source] Immutable ndarray of datetime64 data, represented internally as int64, and which can be boxed to Timestamp objects that are subclasses of datetime and carry metadata such as frequency information.
I would do this:-
new_array = np.array(df.index.to_pydatetime(), dtype=numpy.datetime64)
using the to_pydatetime() method.
148
The data inside is of datetime64 dtype (datetime64[ns] to be precise). Just take the values attribute of the index. Note it will be nanosecond unit.
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