aosingh opened a new pull request, #502: URL: https://github.com/apache/arrow-nanoarrow/pull/502
Addresses https://github.com/apache/arrow-nanoarrow/issues/478 Currently, if you create a `c_array` from an iterable of timestamps an error is raised Code: ```python from datetime import datetime import nanoarrow as na import pyarrow as pa def gen_timestamp(): for i in range(100): yield int(round(datetime.now().timestamp())) timestamp_array = na.c_array(gen_timestamp(), na.timestamp("s")) parray = pa.Table.from_arrays([timestamp_array], names=["timestamp"]) print(parray.to_pandas()) ``` Error: ``` Traceback (most recent call last): File "/Users/as/nanoarrow_poc/.venv/lib/python3.12/site-packages/nanoarrow/c_array.py", line 128, in c_array builder = builder_cls(schema) ^^^^^^^^^^^^^^^^^^^ File "/Users/as/nanoarrow_poc/.venv/lib/python3.12/site-packages/nanoarrow/c_array.py", line 457, in __init__ raise ValueError( ValueError: Can't build array of type timestamp from iterable ``` Expected output: ``` timestamp 0 2024-05-31 18:43:10 1 2024-05-31 18:43:10 2 2024-05-31 18:43:10 3 2024-05-31 18:43:10 4 2024-05-31 18:43:10 .. ... 95 2024-05-31 18:43:10 96 2024-05-31 18:43:10 97 2024-05-31 18:43:10 98 2024-05-31 18:43:10 99 2024-05-31 18:43:10 [100 rows x 1 columns] ``` Benefits - Pyarrow Table and Pandas Dataframe can use the corresponding nanoarrow Array Type to cast the values when using `to_pandas` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
