Dear SymPy Community, I just wanted to share with you, that the TrendPy Project about Time Series Regressions with Python
https://github.com/zolabar/trendPy is now uploaded to pip (as trendpy2, i.e. pip install trendpy2). Reminder: The trendpy2 package makes it easy to approximate time series regressions in a determinstic way. The following trends are supported: linear polynomial exponential trigonometric “free”, for max. three parameters, e.g. (the intial guess for a, b, c is 1.) A standalone feature of the trendpy2 package is, that it combines least-squares approaches, Fourier analysis approaches, numerical Python packages as Numpy and Scipy and the symbolic Python package Sympy for time series regressions. SymPy is makes it possible to easlily implement a "free" regression approach. A streamlit web app is now released, additionally to the voila web app. It can be tried out using this link (also linked in the github page) https://zolabar-trendpy-trendpy2-app-kfqshb.streamlit.app/ Testdata in https://github.com/zolabar/trendPy/tree/main/data Enjoy! Feedback is welcome ;) Regards, Zoufiné -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/f7477991-caba-46f7-894a-df81f513269cn%40googlegroups.com.
