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Describe the bug A clear and concise description of what the bug is.
Steps/Code to reproduce bug
import cudf from datetime import datetime, timezone s = cudf.Series([datetime(2020, 1, 1, tzinfo=timezone.utc)]) s.astype('datetime64[ns, Asia/Kathmandu]')
outputs
0 2020-01-01 dtype: datetime64[ns]
Expected behavior
0 2020-01-01 05:45:00+05:45 dtype: datetime64[ns, Asia/Kathmandu]
like pandas does
Environment overview (please complete the following information)
docker pull
docker run
Environment details Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details
cudf/print_env.sh
Additional context Spotted in Narwhals
The text was updated successfully, but these errors were encountered:
Fix astype from tz-aware type to tz-aware type (#16980)
2ec6cb3
closes #16973 Also matches astype from tz-naive to tz-aware type like pandas Authors: - Matthew Roeschke (https://github.com/mroeschke) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #16980
Successfully merging a pull request may close this issue.
Describe the bug
A clear and concise description of what the bug is.
Steps/Code to reproduce bug
outputs
Expected behavior
like pandas does
Environment overview (please complete the following information)
docker pull
&docker run
commands usedEnvironment details
Please run and paste the output of the
cudf/print_env.sh
script here, to gather any other relevant environment detailsAdditional context
Spotted in Narwhals
The text was updated successfully, but these errors were encountered: