Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
data = [
{
'time': pd.Timestamp('2020-01-26 12:41:37.123456789')
},
]
df = pd.DataFrame(data, columns=['time'])
df['time'] = df['time'].astype('datetime64[us]')
print(df['time'][0])
df.to_parquet("out.pq", index=True)
Issue Description
In 1.5.0 and 1.5.1, it prints
2020-01-26 12:41:37.123456789
and raises an error:
Traceback (most recent call last):
File "/Users/gal/work/storey/pandas-1.5.1-issue.py", line 14, in <module>
df.to_parquet("out.pq", index=True)
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pandas/core/frame.py", line 2974, in to_parquet
return to_parquet(
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pandas/io/parquet.py", line 430, in to_parquet
impl.write(
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pandas/io/parquet.py", line 204, in write
self.api.parquet.write_table(
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pyarrow/parquet.py", line 2034, in write_table
writer.write_table(table, row_group_size=row_group_size)
File "/Users/gal/.local/share/virtualenvs/storey-ptFrrr4H/lib/python3.8/site-packages/pyarrow/parquet.py", line 701, in write_table
self.writer.write_table(table, row_group_size=row_group_size)
File "pyarrow/_parquet.pyx", line 1451, in pyarrow._parquet.ParquetWriter.write_table
File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Casting from timestamp[ns] to timestamp[us] would lose data: 1580042497123456789
Expected Behavior
Up until pandas 1.4.4, it would print
2020-01-26 12:41:37.123456
and create the parquet file.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 91111fd99898d9dcaa6bf6bedb662db4108da6e6
python : 3.8.9.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 1.5.1
numpy : 1.22.4
pytz : 2022.5
dateutil : 2.8.2
setuptools : 65.5.0
pip : 22.2.2
Cython : None
pytest : 5.4.3
hypothesis : None
sphinx : 3.5.4
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 7.31.0
pandas_datareader: None
bs4 : 4.10.0
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.10.0
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 6.0.1
pyreadstat : None
pyxlsb : None
s3fs : 0.6.0
scipy : None
snappy : None
sqlalchemy : 1.4.29
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None
Comment From: jbrockmendel
This works now that we have non-nano support. Closing as complete.