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As can be seen here, the error ValueError: Could not convert object to NumPy datetime is being thrown by:
ValueError: Could not convert object to NumPy datetime
df = DataFrame(dict(A=Timestamp('20130101'), B=np.arange(5))) result = df.groupby('A')['A'].transform(lambda x: x.max() - x.min())
NOTE: I will be submitting a PR shortly.
pd.show_versions()
pandas: 0.19.2 nose: 1.3.7 pip: 8.1.2 setuptools: 18.2 Cython: None numpy: 1.12.0 dateutil: 2.6.0 pytz: 2016.6.1
The text was updated successfully, but these errors were encountered:
this is a dupe of #10972
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Problem description
As can be seen here, the error
ValueError: Could not convert object to NumPy datetime
is being thrown by:NOTE: I will be submitting a PR shortly.
Output of
pd.show_versions()
pandas: 0.19.2
nose: 1.3.7
pip: 8.1.2
setuptools: 18.2
Cython: None
numpy: 1.12.0
dateutil: 2.6.0
pytz: 2016.6.1
The text was updated successfully, but these errors were encountered: