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Yes, I read a CSV file then wrote an Arrow file and it ended up with UInt32 indices in the Arrow file. I can read it using pyarrow.feather.read_table which reports
3:28
PyObject pyarrow.Table
lab: dictionary<values=string, indices=uint32, ordered=0> not null
subid: dictionary<values=string, indices=uint32, ordered=0> not null
trial_num: int64 not null
trial_type: dictionary<values=string, indices=uint32, ordered=0>
stimulus_num: int64
looking_time: double
trial_error: bool not null
trial_error_type: dictionary<values=string, indices=uint32, ordered=0>
method: dictionary<values=string, indices=uint32, ordered=0> not null
ra: dictionary<values=string, indices=uint32, ordered=0>
The text was updated successfully, but these errors were encountered:
From @dmbates on slack:
Yes, I read a CSV file then wrote an Arrow file and it ended up with UInt32 indices in the Arrow file. I can read it using pyarrow.feather.read_table which reports
3:28
PyObject pyarrow.Table
lab: dictionary<values=string, indices=uint32, ordered=0> not null
subid: dictionary<values=string, indices=uint32, ordered=0> not null
trial_num: int64 not null
trial_type: dictionary<values=string, indices=uint32, ordered=0>
stimulus_num: int64
looking_time: double
trial_error: bool not null
trial_error_type: dictionary<values=string, indices=uint32, ordered=0>
method: dictionary<values=string, indices=uint32, ordered=0> not null
ra: dictionary<values=string, indices=uint32, ordered=0>
The text was updated successfully, but these errors were encountered: