NKMatha opened a new issue, #39205:
URL: https://github.com/apache/arrow/issues/39205
### Describe the bug, including details regarding any error messages,
version, and platform.
Hi team,
Am trying to save a csv to parquet using Pandas, but some times am facing
issues like type conversations where a column is object but most the values are
numeric. If one value in that column is alphanumeric then its causing issue
like` ("Could not convert 'A5000' with type str: tried to convert to double",
'Conversion failed for column REFERENCE_KEY3 with type object')`.
But explicitly i defining individual column types before saving to parquet
and REFERENCE_KEY3 is a object. Please help for this scenario.
**sample script:**
```
merged_df = merged_df.astype({col: typ_conv[oracle_type] for col,
oracle_type in m.items()})
merged_df['REFERENCE_KEY3'].dtype # dtype('O')
merged_df.to_parquet('sample.parquet', index=False)
```
**Info**:
Name: pandas
Version: 1.1.5
Name: pyarrow
Version: 6.0.1
### Component(s)
Parquet, Python
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