df = DataFrame(data={'data': np.random.randint(0, 100, size=5500000),
'date': [dt(2016, 1, 1)] * 5500000})
for period, g in df.groupby(pd.DatetimeIndex(df.date).to_period('D')):
print(g) Expected Output
outputs dataframe
Output ofpd.show_versions()
0.19.0
The output is not the issue, the issue is that in any version before 0.19.0, this was incredibly fast, like ~1 second or less. With 0.19.0, after waiting many minutes I just give up.
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