Pandas datetime and numpy numeric array fixes #1163
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1) Preserve numeric numpy types as is in validator out, even if that
numeric type is not supported as JavaScript TypedArray
2) Update widget serializer to check numeric numpy arrays for whether
they are compatible with TypedArrays. If not, serialize as list.
3) Call to_pydatetime() on pandas datetime series/index values
when passed to copy_to_readonly_numpy_array. This returns numpy
array of datetimes (which we already know how to serialize)
Fixes datetime issue in #1160
Fixes FigureWidget issue in #1155
[skip ci]
This was referenced Sep 8, 2018
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numeric type is not supported as JavaScript TypedArray.
they are compatible with
TypedArrays. If not, serialize as list.to_pydatetime()on pandas datetime series/index valueswhen passed to
copy_to_readonly_numpy_array. This returns numpyarray of datetimes (which we already know how to serialize)
_plotly_utils/tests/validators/test_pandas_series_input.pytest suiteFixes datetime issue in #1160 (cc @VelizarVESSELINOV)
Fixes FigureWidget issue in #1155