lens
lens is a library for exploring data in Pandas DataFrames. It computes single column summary statistics and estimates the correlation between columns. We wrote lens when we realised that the initial steps of acquiring a new data set were almost formulaic: What data type is in this column? How many null values are there? Which columns are correlated? What’s the distribution of this value? lens calculates all this for you.
See the documentation for more details.
Installation
lens can be installed from PyPI with pip:
pip install lensTesting
To run the tests, run:
py.test --ignore=itLicense
lens is licensed under the Apache License, see LICENSE.txt for details.
Release files for lens 0.4.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lens-0.4.5.tar.gz | 54.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lens-0.4.5-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 88.7 kB
Release files / lens-0.4.5.tar.gz
| Download URL | lens-0.4.5.tar.gz |
|---|---|
| Size | 54.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / lens-0.4.5-py2.py3-none-any.whl
| Download URL | lens-0.4.5-py2.py3-none-any.whl |
|---|---|
| Size | 34.1 kB |
| Tags | Python 2 Python 3 |
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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/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
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