This package will fetch NBA stas from basketball-reference.com, parse the statistics into pandas dataframes, then visualize the statistics.
This package can be installed with either pip,:
$ pip install Fantasy_Basketball
Or with directly from the source code:
$ git checkout https://github.com/dwwkelly/fantasy_basketball $ cd fantasy_basketball $ python setup.py install
A library and a user application are provided, you can use the user application like this:
$ FB_Manager download --year 2013 --teams --draft $ FB_Manager process --year 2013 --teams $ FB_Manager plot --year 2013
The fantasy_basketball library creates several directories:
~/.fantasy_basketball/plots ~/.fantasy_basketball/processed_data ~/.fantasy_basketball/raw_data
Each directory contains directories that are either the data type or the year for the data, e.g.:
~/.fantasy_basketball/processed_data/2013 ~/.fantasy_basketball/raw_data/teams/2013
The raw data is all HTML files, the processed data is pickle files that contain pandas dataframes, the plots directory contains either eps images or png images.
You can import the dataframes yourself for your own analysis with ipython:
In [1]: import pandas as pd
In [2]: import os
In [3]: data_dir = os.path.expanduser('~/.fantasy_basketball/processed_data/2013/team_data.pkl')
In [4]: df = pd.read_pickle(data_dir)
In [5]: df.shape
Out[5]: (347, 55)
- Config file.
- Generate HTML from data.
- Download and process more statistics.
- Deal with infer_types warning for pandas > 0.14
Thanks to basketball-reference.com for providing the statistics