js8544 commented on issue #37322:
URL: https://github.com/apache/arrow/issues/37322#issuecomment-1689442942
Try this:
```python
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())])),
),
]
)
table = pa.Table.from_pydict(
{
"timestamp_col": [datetime.now().timestamp()],
"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,
)
```
Two things I changed to make it work:
1. `datetime.now().isoformat()` returns a string but `pa.timestamp` expects
an int.
2. `pa.Table.from_pydict` expects the whole table, not a single row, so
you'll need to pass in a list for each column, not a single element.
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