我想读一个很大的CSV文件。我所有的列都是浮动的，但是比罗似乎在推测int64。

如何为所有列指定一个dtype？

import gcsfs
import pyarrow.dataset as ds
fs = gcsfs.GCSFileSystem(project='my-google-cloud-project')
my_dataset = ds.dataset("bucket/foo/bar.csv", format="csv", filesystem=fs)
my_dataset.to_table()

它产生：

ArrowInvalid                              Traceback (most recent call last)
........py in <module>
----> 65 my_dataset.to_table()
File /opt/conda/envs/py39/lib/python3.9/site-packages/pyarrow/_dataset.pyx:491, in pyarrow._dataset.Dataset.to_table()
File /opt/conda/envs/py39/lib/python3.9/site-packages/pyarrow/_dataset.pyx:3235, in pyarrow._dataset.Scanner.to_table()
File /opt/conda/envs/py39/lib/python3.9/site-packages/pyarrow/error.pxi:143, in pyarrow.lib.pyarrow_internal_check_status()
File /opt/conda/envs/py39/lib/python3.9/site-packages/pyarrow/error.pxi:99, in pyarrow.lib.check_status()
ArrowInvalid: In CSV column #172: Row #28: CSV conversion error to int64: invalid value '6.58841482364418'