COMPAT: datetime.date comparisons with datetime64[ns]

[jreback]

This should probably work

In [16]: df = pd.DataFrame({'A':[pd.Timestamp('20130101'), np.nan]})

In [17]: df
Out[17]: 
           A
0 2013-01-01
1        NaT

In [18]: pd.Timestamp('20130101').to_pydatetime()>=df.A
Out[18]: 
0     True
1    False
Name: A, dtype: bool

In [20]: pd.Timestamp('20130101').to_pydatetime().date()>=df.A
ValueError: cannot set a Timestamp with a non-timestamp

[jbrockmendel]

What would date(2017, 10, 24) < Timestamp('2017-10-24 17:02') be?

[jreback]

These just need wrapping

In [7]: pd.Timestamp(datetime.date(2017, 10, 24)) < pd.Timestamp('2017-10-24 17:02')
Out[7]: True

[jbrockmendel]

I think the internally consistent thing to do would be to wrap date(2017, 10, 24) with pd.Period(date(2017, 10, 24), 'D')

(the constructor should also be able to infer the freq should be "D", but that is a different issue)

[jreback]

no it’s a Timestamp (conceptually it’s just a shortened datetime)

[jbrockmendel]

(conceptually it’s just a shortened datetime)

That part isn't obvious to me, but conditional on this, then I agree this issue is straightforward.

[TomAugspurger]

FWIW, python raises here

In [4]: datetime.datetime(2017, 1, 1, 12) > datetime.date(2017, 1, 1)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-c0cf43ef6360> in <module>()
----> 1 datetime.datetime(2017, 1, 1, 12) > datetime.date(2017, 1, 1)

TypeError: can't compare datetime.datetime to datetime.date

[liuli1735]

dates = data['TradingDay'].unique()
for date in dates:
print(date)
raw_data = data.loc[data['TradingDay'] == date].copy()

ValueError: cannot set a Timestamp with a non-timestamp```

I get the same error, i just upgrade my Anaconda yesterday.

[TomAugspurger]

You might want to try asking on StackOverflow with the "pandas" tag. And they'll ask you to make an MCVE: https://stackoverflow.com/help/mcve

…

On Wed, Nov 8, 2017 at 1:12 AM, Jason ***@***.***> wrote: dates = data['TradingDay'].unique() for date in dates: print(date) raw_data = data.loc[data['TradingDay'] == date].copy() ValueError: cannot set a Timestamp with a non-timestamp``` I get the same error, i just upgrade my Anaconda yesterday. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#17965 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABQHIqjbeKRRartogou5pwZN5OSlQkQsks5s0VRngaJpZM4QE1kt> .

[akrherz]

I think a MCVE for @liuli1735 's post is this

import pandas as pd
df = pd.DataFrame({'dates': pd.date_range('2000-01-01', '2010-12-31')})
date = df['dates'].unique()[0]
print(df.loc[df['dates'] == date])

Result with 0.20.3-py27_1 on conda-forge (linux64 python2.7)

$ python mcve.py 
       dates
0 2000-01-01

Result with 0.21.0-py27_0 on conda-forge (linux64 python2.7)

$ python mcve.py 
Traceback (most recent call last):
  File "mcve.py", line 5, in <module>
    print(df.loc[df['dates'] == date])
  File "/opt/miniconda2/lib/python2.7/site-packages/pandas/core/ops.py", line 879, in wrapper
    res = na_op(values, other)
  File "/opt/miniconda2/lib/python2.7/site-packages/pandas/core/ops.py", line 808, in na_op
    y = libindex.convert_scalar(x, _values_from_object(y))
  File "pandas/_libs/index.pyx", line 494, in pandas._libs.index.convert_scalar
  File "pandas/_libs/index.pyx", line 509, in pandas._libs.index.convert_scalar
ValueError: cannot set a Timestamp with a non-timestamp