anliakho2 opened a new issue #1459:
URL: https://github.com/apache/arrow-rs/issues/1459
**Describe the bug**
If parquet is written with timestamps with time unit other than `ns` reading
such file would produce incorrect dates, whereas pandas is reading the dates
correctly
**To Reproduce**
Generate parquet file as follows:
`
import pandas as pd
import numpy as np
np.random.seed(0)
# create an array of 5 dates starting at '2015-02-24', one per minute
rng = pd.date_range('2020-01-01', periods=5, freq='H')
df = pd.DataFrame({ 'Date': rng, 'Val': np.random.randn(len(rng)) })
df.to_parquet('data/myfile.parquet', coerce_timestamps='ms',
allow_truncated_timestamps=True)
`
**Expected behavior**
Data is not corrupted and dates are read back correctly.
**Additional context**
_
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