pd.to_datetime() throws if caching is on with Null-like arguments · Issue #22305 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

import pandas as pd result = pd.to_datetime([pd.NaT, None], cache=True)

Problem description

It results in error:

...
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_indexer(self, target, method, limit, tolerance)
3242
3243 if not self.is_unique:
-> 3244 raise InvalidIndexError('Reindexing only valid with uniquely'
3245 ' valued Index objects')
3246

InvalidIndexError: Reindexing only valid with uniquely valued Index objects

Expected Output

The same as result = pd.to_datetime([pd.NaT, None],cache=False):

DatetimeIndex(['NaT', 'NaT'], dtype='datetime64[ns]', freq=None)

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.2.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-53-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: 3.2.1
pip: 10.0.1
setuptools: 36.5.0.post20170921
Cython: 0.28.3
numpy: 1.13.1
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.1.0
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.2
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.8
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 0.9.8
lxml: 3.8.0
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: 1.1.13
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: 0.1.3
fastparquet: None
pandas_gbq: None
pandas_datareader: None
[paste the output of pd.show_versions() here below this line]