Jimexist commented on issue #1441:
URL:
https://github.com/apache/arrow-datafusion/issues/1441#issuecomment-992609965
thinking out loud: doing `pandas` validation:
```ipython
In [10]: import pandas as pd
In [11]: csv_pd = pd.read_csv('./csvs/stop.csv')
In [12]: pq_pd = pd.read_parquet('./parquets/stops')
In [13]: csv_pd.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 33254 entries, 0 to 33253
Data columns (total 4 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 time 33254 non-null object
1 trip_tid 32113 non-null float64
2 trip_line 32126 non-null object
3 stop_name 705 non-null object
dtypes: float64(1), object(3)
memory usage: 1.0+ MB
In [14]: pq_pd.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 33254 entries, 0 to 33253
Data columns (total 4 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 time 33254 non-null datetime64[ns]
1 trip_tid 32113 non-null float64
2 trip_line 32126 non-null object
3 stop_name 705 non-null object
dtypes: datetime64[ns](1), float64(1), object(2)
memory usage: 1.0+ MB
```
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