Comments (1)
It should be as simple as:
In [1]: import awswrangler as wr
In [2]: import pandas as pd
In [3]: df = pd.DataFrame(columns=["col1", "col2"])
In [4]: wr.s3.to_parquet(df=df, path="s3://bucket/empty/file.pq")
Out[4]:
{'paths': ['s3://bucket/empty/file.pq'],
'partitions_values': {}}
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Related Issues (20)
- Support client-side parameter resolution in wr.athena.create_ctas_table HOT 1
- Cannot write parquet in an S3 path that includes white spaces when using ray HOT 2
- Provide option to skip commit in postgresql.to_sql to allow usage of transactions HOT 1
- Incorrect error message or implementation for datetime formatting? HOT 1
- Unsupported Athena type: json
- Requests for Additional Argument `name_function` on `awswrangler.s3.to_parquet()` HOT 2
- Support IAM Trusted Identity Propagation and Lake Formation with Athena
- Support IAM Trusted Identity Propagation with Redshift
- Upsert column parameters HOT 2
- Get column parameters HOT 2
- s3.read_parquet_table and exception "Unknown parameter in input: "ExcludeColumnSchema", must be one of: CatalogId, DatabaseName, TableName, Expression, NextToken, Segment, MaxResults" HOT 3
- The `to_property_graph` docstring in the Neptune module is not well written and does not describe the behavior of the function when the node already exists HOT 1
- Postgres upsert table creation
- Insight into error `awswrangler.exceptions.QueryFailed: Iceberg cannot access the requested resource` HOT 2
- athena.to_iceberg function is not deleting temp_table_xxxxx properly in Athena HOT 2
- Add s3_output parameter to athena.delete_from_iceberg_table method HOT 1
- wr.s3.download fits the whole file into memory, with 2x memory allocation
- Upsert mode for SQL Server HOT 1
- Lack of `verify` input to customize SSL verify option limits smooth usage of the package modules HOT 1
- Allow more than parquet files in redshift copy from files function HOT 3
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