mnordie opened a new issue, #40865:
URL: https://github.com/apache/arrow/issues/40865
### Describe the usage question you have. Please include as many useful
details as possible.
When writing a table with only .0 floats using pa.csv.write_csv() the output
truncates the .0 causing the read table to infer the column as int.
Is it possible to override this behavior somehow?
```
In [107]: floats_csv = io.BytesIO(b"""a,b,c
...: 1.0,1,one
...: 2.0,2,two
...: 3.0,3,three""")
In [108]: t=pa.csv.read_csv(floats_csv)
In [109]: t
Out[109]:
pyarrow.Table
a: double
b: int64
c: string
----
a: [[1,2,3]]
b: [[1,2,3]]
c: [["one","two","three"]]
In [110]: help(pa.csv.write_csv)
In [111]: pa.csv.write_csv(t,'./float_test.csv')
In [112]: !cat ./float_test.csv
"a","b","c"
1,1,"one"
2,2,"two"
3,3,"three"
In [113]: pa.csv.read_csv('./float_test.csv')
Out[113]:
pyarrow.Table
a: int64
b: int64
c: string
----
a: [[1,2,3]]
b: [[1,2,3]]
c: [["one","two","three"]]
```
### Component(s)
Python
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