Metadata-Version: 2.1
Name: pycobb
Version: 0.0.4
Summary: UNKNOWN
Home-page: https://github.com/ryan-byrne/pycobb
Author: Ryan Byrne
Author-email: ryan@byrne.es
License: MIT
Project-URL: Documentation, https://pycobb.readthedocs.io/en/latest/
Project-URL: Bug Reports, https://github.com/ryan-byrne/pycobb/issues
Description: <p align="center"><img src="https://raw.githubusercontent.com/ryan-byrne/pycobb/main/files/pycobb.png" width="200"/><p>
        
        * [Report Issues and Bugs](https://github.com/ryan-byrne/pycobb/issues/)
        * Check out the [Documentation](https://pycobb.readthedocs.io/en/latest/)
        
        ## Installation
        
        With PIP:
        
        ```
        pip install pycobb
        ```
        From source:
        
        ```
        git clone https://github.com/ryan-byrne/pycobb
        cd pycobb
        python install setup.py
        ```
        
        ## Usage
        
        ### Python
        
        The `pycobb` [Python Package](https://pypi.org/project/pycobb/) and it's associated functions can be easily imported into an existing Python Project.
        
        ```python
        
        import pycobb
        
        df = pycobb.get(pitchers=["Trevor Bauer"], batters=["Javier Baez"], years=[2018,2019])
        
        ```
        
        This `pycobb.get()` returns a [pandas DataFrame](https://pandas.pydata.org/) with stats on every pitch **Trevor Bauer** threw to **Javier Baez** in the **2018** and **2019** seasons.
        
        ### Command Line Interface (CLI)
        
        `pycobb` can return that same DataFrame from the command line. The option `--print` prints the DataFrame to the console:
        
        ```
        pycobb get -p Trevor+Bauer -b Javier+Baez -y 2019 --print
        ```
        Returns:
        
        ```
          pitch_type   game_date  release_speed  ...  spin_axis  delta_home_win_exp delta_run_exp
        0         SL  2019-08-09           78.2  ...         80               0.058        -0.514
        1         SL  2019-08-09           79.3  ...         81               0.000        -0.084
        2         SL  2019-08-09           79.4  ...         87               0.046        -0.382
        3         SL  2019-08-09           78.7  ...         81               0.020        -0.319
        4         FC  2019-08-09           81.0  ...         68               0.000        -0.091
        5         FF  2019-08-09           94.7  ...        202               0.000         0.121
        6         FC  2019-08-09           81.7  ...         55               0.000         0.054
        7         FC  2019-08-09           82.2  ...         70               0.000        -0.050
        8         SL  2019-08-09           78.4  ...         79               0.000         0.037
        
        [9 rows x 92 columns]
        ```
        
        ### Additional Search Parameters
        
        For a full list of search parameters, [review the documentation](https://pycobb.readthedocs.io/en/latest/)
        
Keywords: baseball savant sabermetrics pycobb
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Microsoft :: Windows
Classifier: Development Status :: 4 - Beta
Requires-Python: >3.5
Description-Content-Type: text/markdown
