abekfenn edited a comment on issue #11469:
URL: https://github.com/apache/arrow/issues/11469#issuecomment-947165750
Thank you for the example @westonpace. I've given this a shot below and the
example you provided was exactly what I needed!
```
import pyarrow.ipc as ipc
import pyarrow.feather as feather
import pyarrow as pa
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,100,size=(100, 5)),
columns=list('ABCDF'))
print('original df')
print(df)
feather.write_feather(df, 'test_df.ftr', compression='zstd',
compression_level=None,
chunksize=10, version=2)
def read_feather_in_chunks(filepath):
with ipc.RecordBatchFileReader(filepath) as reader:
for batch_index in range(reader.num_record_batches):
batch = reader.get_batch(batch_index)
print(f'Read in batch {batch_index} which had {batch.num_rows}
rows')
data_df = batch.to_pandas(use_threads=True,
timestamp_as_object=True, )
yield data_df
for batch in read_feather_in_chunks('test_df.ftr'):
print(batch)
```
Thank you!
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