alamb edited a comment on issue #641:
URL: https://github.com/apache/arrow-rs/issues/641#issuecomment-890325580
I have confirmed that the python parquet writer correctly stores
`"tewksbury"` as the max in statistics
Using this python script:
```python
import pyarrow
import pandas as pd
data = [
"andover",
"reading",
"bedford",
"tewsbury",
"lexington",
"lawrence",
];
df = pd.DataFrame(data, columns = ['city'])
df.to_parquet('/tmp/test_python.parquet')
```
`parquet-tools` then confirm the min/max are "andover"/"tewksbury" as
expected:
```shell
alamb@ip-192-168-0-133 /tmp % parquet-tools dump /tmp/test_python.parquet
parquet-tools dump /tmp/test_python.parquet
row group 0
----------------------------------------------------------------------------------------------------------------------
city: BINARY SNAPPY DO:4 FPO:90 SZ:139/137/0.99 VC:6
ENC:RLE,PLAIN,PLAIN_DICTIONARY ST:[min: andover, max: [more]...
city TV=6 RL=0 DL=1 DS: 6 DE:PLAIN_DICTIONARY
------------------------------------------------------------------------------------------------------------------
page 0: DLE:RLE RLE:RLE VLE:PLAIN_DICTIONARY ST:[min:
andover, max: tewsbury, num_nulls: 0] [more]... VC:6
BINARY city
----------------------------------------------------------------------------------------------------------------------
*** row group 1 of 1, values 1 to 6 ***
value 1: R:0 D:1 V:andover
value 2: R:0 D:1 V:reading
value 3: R:0 D:1 V:bedford
value 4: R:0 D:1 V:tewsbury
value 5: R:0 D:1 V:lexington
value 6: R:0 D:1 V:lawrence
alamb@ip-192-168-0-133 /tmp %
```
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