timsaucer commented on PR #962:
URL:
https://github.com/apache/datafusion-python/pull/962#issuecomment-2538772977
So doing a little testing to see if this is necessary:
```
from datafusion import SessionContext, col, lit
import pyarrow as pa
import datetime
ctx = SessionContext()
df = ctx.from_pydict({
"a": pa.array([1], type=pa.int64()),
"date": pa.array([datetime.datetime.today()], type=pa.timestamp("us")),
})
df.show()
print(df.schema())
df = (
df
.with_column("b", col("a").cast(pa.int8()))
.with_column("ms_date", col("date").cast(pa.timestamp("ms")))
)
df.show()
print(df.schema())
```
Produces:
```
DataFrame()
+---+----------------------------+
| a | date |
+---+----------------------------+
| 1 | 2024-12-12T07:28:24.431099 |
+---+----------------------------+
a: int64
date: timestamp[us]
DataFrame()
+---+----------------------------+---+-------------------------+
| a | date | b | ms_date |
+---+----------------------------+---+-------------------------+
| 1 | 2024-12-12T07:28:24.431099 | 1 | 2024-12-12T07:28:24.431 |
+---+----------------------------+---+-------------------------+
a: int64
date: timestamp[us]
b: int8
ms_date: timestamp[ms]
```
So maybe we can use the existing method?
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