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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)?

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3 Answers 3

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15

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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1 Comment

is this still true with pandas 0.10.1? pd.date_range("20120101", "20120102").values yields array([1970-01-16 224:00:00, 1970-01-16 248:00:00], dtype=datetime64[ns]), which is not correct.
9

I would do this:-

new_array = np.array(df.index.to_pydatetime(), dtype=numpy.datetime64)

using the to_pydatetime() method.

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1

If your index is supposed to be the date or datetime values, you can convert it to a DatetimeIndex

   df.index = pd.to_datetime(df.index)
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