Project description
dataframe-io

Read and write dataframes from and to any storage.
Features
Dataframes types supported:
- pandas DataFrame
- Python dictionary
Supported storage backends:
- Parquet files
- PostgreSQL database
More backends will come. Open an issue
if you are interested in a particular backend.
Implementation status for reading data:
Storage |
Select columns |
Filter rows |
Max rows |
Sampling |
Drop duplicates |
Parquet files |
✔️ |
✔️ |
✔️ |
✔️ |
✔ ¹ |
PostgreSQL |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
¹ only for pandas DataFrames
Implementation status for writing data:
Storage |
write append |
write replace |
Parquet files |
✔️ |
✔️ |
PostgreSQL |
✔️ |
✔️ |
Installation
pip install dframeio
# Including pyarrow to read/write parquet files:
pip install dframeio[parquet]
# Including PostgreSQL support:
pip install dframeio[postgres]
Show installed backends:
>>> import dframeio
>>> dframeio.backends
[<class 'dframeio.parquet.ParquetBackend'>]
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