## Python interface to the Apache Arrow-based Feather File Format
Feather efficiently stores pandas DataFrame objects on disk. It depends on the Apache Arrow for Python
## Installing
`shell pip install feather-format `
pip users note: feather-format depends on pyarrow and may not be available on your platform via pip. If that does not work try conda-forge.
From [conda-forge][1]:
`shell conda install feather-format -c conda-forge `
## Limitations
Some features of pandas are not supported in Feather:
Non-string column names
Row indexes
Object-type columns with non-homogeneous data
Metadata
Release files for feather-format 0.4.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| feather-format-0.4.1.tar.gz | 3.2 kB | Without provenance | Details for feather-format-0.4.1.tar.gz |
Release files / feather-format-0.4.1.tar.gz
| Download URL | feather-format-0.4.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45f67e3745d394d4f160ca6d636bbfd4f8b68d01199dc1649b6e487d3e878903
|
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67e8ee99f142f19d35588501943510f8217f9dd77184574b0c933c53218e0f19
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.7
|
Security for feather-format 0.4.1
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