High level helpers for data science in Python with Pandas.
Installation
pip install mastersign-datascience
or
python ./setup.py install
Plotting on Cartographic Maps
You can use the library without further manual steps; but if you want to use plotting functions which draw on a cartographic maps, like scatter_map(), you must install Basemap yourself. PyPI does not host a version of Basemap which can easily be used as a dependency. Therefore Basemap is not listed as a dependency in this library.
On Windows, you may install the Wheel from https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap . Download the e.g. basemap-1.2.0-cp36-cp36m-win_amd64.whl and then install it with pip:
pip install .\basemap-1.2.0-cp36-cp36m-win_amd64.whl
On Linux you may install Basemap with your distributions package manager. E.g. on Ubuntu you can use apt:
sudo apt install python3-mpltoolkits.basemap
Documentation
Demonstration
Take a look at the Jupyter Notebooks demo-*.ipynb for demonstration.
1 maintainer
Metadata
1 maintainer
Release files for mastersign-datascience 0.3.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| mastersign-datascience-0.3.1.tar.gz | 22.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mastersign_datascience-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.9 kB
Release files / mastersign-datascience-0.3.1.tar.gz
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| Size | 22.7 kB |
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Release files / mastersign_datascience-0.3.1-py3-none-any.whl
| Download URL | mastersign_datascience-0.3.1-py3-none-any.whl |
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| Size | 24.2 kB |
| Tags | Python 3 |
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