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You're probably aware of this one, raising in case slipped through the cracks ;)
Minimal Code To Reproduce
fromfugue.apiimportfugue_sqlimportpandasaspdexample=pd.Series(["i_break_dask"], name="string_column", dtype="string").to_frame()
fugue_sql("SELECT * FROM example", engine="dask")
# /venv/lib/python3.7/site-packages/pyarrow/types.pxi in pyarrow.lib.from_numpy_dtype()# TypeError: Cannot interpret 'string[python]' as a data type
Describe the bug pandasstring dtype is not recognised by fugue
Expected behavior string columns are recognised as fuguestring or arrowstring
Environment (please complete the following information):
Backend: dask | fugue 0.8.0
Backend version: 2022.2.0
Python version: 3.7.12
OS: linux
I don't think string is yet the default behaviour for pandasstring columns, if this ever becomes the case then this might become more of an issue
The text was updated successfully, but these errors were encountered:
Hey team,
You're probably aware of this one, raising in case slipped through the cracks ;)
Minimal Code To Reproduce
Describe the bug
pandas
string
dtype is not recognised byfugue
Expected behavior
string
columns are recognised asfugue
string
orarrow
string
Environment (please complete the following information):
I don't think
string
is yet the default behaviour forpandas
string
columns, if this ever becomes the case then this might become more of an issueThe text was updated successfully, but these errors were encountered: