ValueError: buffer source array is read-only on DatetimeIndex with one element · Issue #28055 · pandas-dev/pandas (original) (raw)

Code Sample

Your code here

import pandas as pd import numpy as np times = np.array([np.datetime64('2012-02-15T12:00:00.000000000')]) times.setflags(write=False)

[d for d in pd.to_datetime(times)]

Problem description

The above code raises a ValueError: buffer source array is read-only during the iteration over the DatetimeIndex.

Note: This code snippet is just for demonstration. Read-only arrays are generated e.g. from an xarray broadcast.

This did not happen for pandas<=0.25.0

Expected Output

[Timestamp('2012-02-15 12:00:00')]

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None python : 3.7.3.final.0 python-bits : 64 OS : Linux OS-release : 4.19.0-5-amd64 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 0.25.0 numpy : 1.17.0 pytz : 2019.2 dateutil : 2.8.0 pip : 19.2.2 setuptools : 41.1.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 7.7.0 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None gcsfs : None lxml.etree : None matplotlib : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pytables : None s3fs : None scipy : None sqlalchemy : None tables : None xarray : None xlrd : None xlwt : None xlsxwriter : None