And these visions of data types, they kept us up past the dawn.
Visions provides an extensible suite of tools to support common data analysis operations including
type inference on unknown data
casting data types
automated data summarization
Documentation
Full documentation can be found here.
Installation
You can install visions via pip:
pip install visionsAlternatives and more details can be found in the documentation.
Contributing and support
Contributions to visions are welcome. For more information, please visit the Community contributions page. The the Github issues tracker is used for reporting bugs, feature requests and support questions.
Acknowledgements
This package is part of the dylan-profiler project. The package is core component of pandas-profiling. More information can be found here. This work was partially supported by SIDN Fonds.
Release files for visions 0.4.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| visions-0.4.6.tar.gz | 579.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| visions-0.4.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:642.7 kB
Release files / visions-0.4.6.tar.gz
| Download URL | visions-0.4.6.tar.gz |
|---|---|
| Size | 579.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / visions-0.4.6-py3-none-any.whl
| Download URL | visions-0.4.6-py3-none-any.whl |
|---|---|
| Size | 63.6 kB |
| Tags | Python 3 |
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