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High level helpers for data science in Python with Pandas.

Project description

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

https://mastersign.github.io/mastersign-datascience

Demonstration

Take a look at the Jupyter Notebooks demo-*.ipynb for demonstration.

Project details


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mastersign-datascience-0.2.1.tar.gz (19.7 kB view hashes)

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mastersign_datascience-0.2.1-py3-none-any.whl (23.2 kB view hashes)

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