CanvasFamiliarity
A component that displays how familiar certain data points are within a dataset.
This is useful for finding outliers and common instances.
The familiarity metric is based on a column prefixed familiarity_, which must contain a number that indicates the familiarity value.
Installation
pip install canvas_familiarity
Usage
To learn how to use Canvas, see the documentation.
1 maintainer
Metadata
1 maintainer
Release files for canvas-familiarity 3.9.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| canvas_familiarity-3.9.6.tar.gz | 4.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| canvas_familiarity-3.9.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 9.4 MB
Release files / canvas_familiarity-3.9.6.tar.gz
| Download URL | canvas_familiarity-3.9.6.tar.gz |
|---|---|
| Size | 4.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.10.16
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Release files / canvas_familiarity-3.9.6-py2.py3-none-any.whl
| Download URL | canvas_familiarity-3.9.6-py2.py3-none-any.whl |
|---|---|
| Size | 5.2 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.10.16
|
