[jira] [Created] (ARROW-10061) How to convert a float to a Parquet TIMESTAMP Logical Type?

["Pierre (Jira)" <ji...@apache.org>]

Pierre created ARROW-10061:
------------------------------

             Summary: How to convert a float to a Parquet TIMESTAMP Logical Type?
                 Key: ARROW-10061
                 URL: https://issues.apache.org/jira/browse/ARROW-10061
             Project: Apache Arrow
          Issue Type: Task
            Reporter: Pierre


Hi,

I am sorry, this is a simple usage question, that I raised on [SO|https://stackoverflow.com/questions/63991411/how-to-convert-a-float-to-a-parquet-timestamp-logical-type], but got no answer.

I came across the [Parquet Logical Types documentation page|https://github.com/apache/parquet-format/blob/master/LogicalTypes.md] on Github, and more specifically the chapter regarding [Timestamp|https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#timestamp].

Please, how can we convert a column of timestamps stored as float64 to a column with timestamps stored as `TIMESTAMP` parquet logical type?

For instance, starting with this code.

```python
import pyarrow as pa
my_table = pa.table({'timestamp': pa.array([1600419000.477,1600419001.027])})
```

Thanks for any help,
Have a good day,
Bests,
Pierre




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