alexeykudinkin opened a new issue, #47023:
URL: https://github.com/apache/arrow/issues/47023
### Describe the bug, including details regarding any error messages,
version, and platform.
Currently, `TypeInferrer` fails with the following exception when you're
trying to use keys with non-string/binary types:
```
arrow_table = pa.Table.from_pandas(self._table, preserve_index=False)
File "pyarrow/table.pxi", line 4751, in pyarrow.lib.Table.from_pandas
File
"/opt/anaconda3/envs/rayturbo/lib/python3.9/site-packages/pyarrow/pandas_compat.py",
line 639, in dataframe_to_arrays
arrays = [convert_column(c, f)
File
"/opt/anaconda3/envs/rayturbo/lib/python3.9/site-packages/pyarrow/pandas_compat.py",
line 639, in <listcomp>
arrays = [convert_column(c, f)
File
"/opt/anaconda3/envs/rayturbo/lib/python3.9/site-packages/pyarrow/pandas_compat.py",
line 626, in convert_column
raise e
File
"/opt/anaconda3/envs/rayturbo/lib/python3.9/site-packages/pyarrow/pandas_compat.py",
line 620, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 362, in pyarrow.lib.array
File "pyarrow/array.pxi", line 87, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected dict key of type str or bytes, got
'int'", 'Conversion failed for column value_counter(value) with type object')
```
However Arrow supports integer type as key-types in the maps perfectly fine:
```
# Fails
arr = pa.array({0: 1})
# Works perfectly fine
arr = pa.array({0: 1}, type=pa.map_(pa.int64(), pa.int64()))
```
### Component(s)
Format
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