SamuelMarks opened a new issue, #37322:
URL: https://github.com/apache/arrow/issues/37322
### Describe the usage question you have. Please include as many useful
details as possible.
Attempt:
```py
import pyarrow as pa
# Explicit schema definition to try and resolve error
schema = pa.schema(
[
pa.field("timestamp_col", pa.timestamp("ns", tz="UTC")),
pa.field("json_col", pa.struct([("can", pa.string())])),
pa.field("array_str_col", pa.list_(pa.string())),
pa.field("array_bigint_col", pa.list_(pa.int64())),
pa.field(
"array_json_col",
pa.list_(pa.struct([("foo", pa.string()), ("can",
pa.string())])),
),
]
)
row = pa.Table.from_pydict(
{
"timestamp_col": datetime.now().isoformat(),
"json_col": {"can": "haz"},
"array_str_col": ["Flamingo", "Centipede"],
"array_bigint_col": np.arange(6, dtype=np.int64),
"array_json_col": [{"foo": "bar"}, {"can": "haz"}],
},
schema=schema,
)
```
(for more experiments—including Parquet and a `pandas` variant of the above
mock—see
https://github.com/offscale/cdd-python-gae/blob/704e8df/cdd_gae/tests/test_parquet_to_table.py#L259
)
Error:
```py
row = pa.Table.from_pydict(
^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 3849, in pyarrow.lib.Table.from_pydict
File "pyarrow/table.pxi", line 5418, in pyarrow.lib._from_pydict
File "pyarrow/array.pxi", line 357, in pyarrow.lib.asarray
File "pyarrow/array.pxi", line 327, in pyarrow.lib.array
File "pyarrow/array.pxi", line 39, in pyarrow.lib._sequence_to_array
File "pyarrow/error.pxi", line 144, in
pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 123, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: object of type <class 'str'> cannot be converted
to int
```
### Component(s)
Python
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