&res created ARROW-18264:
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Summary: [Python] Add Time64Scalar.value field
Key: ARROW-18264
URL: https://issues.apache.org/jira/browse/ARROW-18264
Project: Apache Arrow
Issue Type: Improvement
Environment: pyarrow==10.0.0
No pandas installed
Reporter: &res
At the moment, when pandas is not installed, it is not possible to access the
underlying value for a Time64Scalar of "ns" precision without casting it to
int64.
{code:java}
time_ns = pa.array([1, 2, 3],pa.time64("ns"))
scalar = time_ns[0]
scalar.as_py() {code}
Raises:
{code:java}
time_ns = pa.array([1, 2, 3],pa.time64("ns"))
scalar = time_ns[0]
scalar.as_py() {code}
The workaround is to do:
{code:java}
scalar.cast(pa.int64()).as_py() {code}
It'd be good if a value field was added to Time64Scalar, just like the
TimestampScalar
{code:java}
timestamp_ns = pa.array([1, 2, 3],pa.timestamp("ns", "UTC"))
scalar = timestamp_ns[0]
scalar.value {code}
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