https://github.com/jnmclarty/sympa

Symbolic math for Pandas
https://github.com/jnmclarty/sympa

equation formula math pandas

Last synced: 5 months ago
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Symbolic math for Pandas

• Host: GitHub
• URL: https://github.com/jnmclarty/sympa
• Owner: jnmclarty
• License: mit
• Created: 2015-02-22T11:40:16.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2018-04-21T16:07:39.000Z (about 8 years ago)
• Last Synced: 2025-11-28T01:56:51.782Z (7 months ago)
• Topics: equation, formula, math, pandas
• Language: Python
• Size: 55.7 KB
• Stars: 6
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

          
Sympa

=====

*Symbolic math for pandas.*

Description

===========

Links symbolic expressions created using sympy to columns of data in pandas DataFrames.

Any expression created with sympy, which can be "lambdified", will/should/might work. 

Warning

=======

The API design for sympa is subject to change, depending on feedback, if any.

Usage

=====

.. code:: python

   from pandas import DataFrame

   from sympy import symbols

   from sympa import domath

   

   #DataFrame expression:

   

   df = pd.DataFrame({'x' : [1,2,3,4] * 2, 'y' : [0.1, 0.2] * 4})

   

   #Series expression (Not recommended, but @kiaderouiche must have found it useful)

   

   s = pd.Series({'x' : [1,2,3,4] * 2, 'y' : [0.1, 0.2] * 4})

   

   # Notice x_-1 and x_-2 are used to reference x @ t=-1, and x @ t=-2.

   x, xn1, xn2, y = symbols('x x_-1 x_-2 y')

   

   f = 3.0 * x ** 3 + 2.0 * xn1 ** 2 + xn2 + (y * 2) / 2

   

   df['f'] = domath(df,f)

Docs

====

For now, there isn't much documentation.  I think it's pretty straightforward.

Check out the /doc folder of the repo on github for more examples.

Requirements

============

* Sympy >= 0.7.6 but should work with much older versions (untested).

* Pandas >= 0.15 but should work with much older versions (untested).

Python

------

Works on 2.7, untested on all other versions.

It is expected to be ported to 3.4 soon, and likely 2.6 as well.

Install

=======

    pip install sympa