This library can calculate and plot trend lines for any time series, not only for its primary intended purpose of financial analysis. The calc_support_resistance function will calculate all support ...

Consider the following two curves. We want to quantify how different the Numerical curve is from the Experimental curve. Notice how there are no concurrent Stress or Strain values in the two curves.

Data Science expert with desire to help companies advance by applying AI for process improvements. Time series data is a key component in a wide range of domains, including finance and meteorology.

Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and ...

Trends in time-series data can be cyclic or non-cyclic, impacting prediction accuracy. Detrending is the process of removing trends to reveal underlying cyclic behaviour in data. Different types of ...