Description
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I have confirmed this bug exists on the latest version of pandas.
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Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
In [1]: pandas.__version__
[PYFLYBY] import pandas
Out[1]: u'0.24.2'
In [2]: arr = numpy.array([numpy.datetime64('2015-11-20T15:06:58.000')])
In [3]: arr.dtype
Out[3]: dtype('<M8[ms]')
In [4]: arr.flags.writeable = False
[PYFLYBY] import pandas as pd
In [5]: pd.factorize(arr)Problem description
[Construction with non-mutable datetime64 strings]
Expected Output
(array([0]), array(['2015-11-20T15:06:58.000000000'], dtype='datetime64[ns]'))
Output of pd.show_versions()
/usr/local/python/python-2.7/std/lib/python2.7/site-packages/pandas/_libs/tslibs/conversion.so in View.MemoryView.memoryview_cwrapper()
/usr/local/python/python-2.7/std/lib/python2.7/site-packages/pandas/_libs/tslibs/conversion.so in View.MemoryView.memoryview.cinit()
ValueError: buffer source array is read-only