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
from pandas import DataFrame
from sympy import symbols
from sympa import domath
df = pd.DataFrame({'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
1 maintainer
Metadata
1 maintainer
Release files for sympa 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| sympa-0.1.0.zip | 5.4 kB | Details |
Release files / sympa-0.1.0.zip
| Download URL | sympa-0.1.0.zip |
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