df.to_stata doesn't handle boolean columns

[puterleat]

I'd expected this to generate a row of 1's and 0's in the dta file...

DataFrame([True, False]).to_stata('test.dta')

But it generates the following error:

sbox/lib/python2.7/site-packages/pandas/io/stata.pyc in _dtype_to_stata_type(dtype)
884 else: # pragma : no cover
885 raise ValueError("Data type %s not currently understood. "
--> 886 "Please report an error to the developers." % dtype)
887
888

ValueError: Data type bool not currently understood. Please report an error to the developers.

[jreback]

its straightforward to do this enhancement, would welcome a pull-request.

[jreback]

you can always df[[boolean_columns]] = df[[boolean_columns]].astype(int) to get the desired effect (as a work-around)

[puterleat]

Ah - many thanks for the workaround. Just spotted that datetime64[ns] is also not currently understood.

[jreback]

datetimens64[ns] works just fine in master/0.14 and should in 0.13.1.

[puterleat]

EDIT:
I've just realised that the convert_dates parameter solves the problem, although this isn't obvious from the error message thrown (which suggests contacting the developers...)

Perhaps dates without a conversion specified could throw a specific error requesting the convert_dates mapping be set?

[dmsul]

I just got this same error (0.14.0) for a uint16 dtype. Not sure if it's better to make an independent issue thread or post here. I'm new at this, apologies.

[jreback]

maybe post separate issues for the last 2 (error reporting for using convert_dates & the uint16 issue). and would appreciate pull-requests !