With the date
attribute:
df.index = df.index.date
Example:
>>> df = pd.DataFrame([1, 2, 3, 4], index=pd.date_range('2018', periods=4, freq='H'))
>>> df.index = df.index.date
>>> df
0
2018-01-01 1
2018-01-01 2
2018-01-01 3
2018-01-01 4
Note: that this will get you object
dtype in Pandas. All attributes are here. It’s technically an array of native Python datetime.date
objects. See ALollz’s answer to keep the dtype datetime-like.