physplot 0.1.2

Plotting, curve fitting, and error propagation tools for physics labs

physplot

Plotting and error propagation tools related to lab work for students.

Usage

Import using: from physplot import Graph, Error, Propagation

1. Graphing:
   • Create figure and plot axes: Graph.plot_details(#row_plots, #col_plots, width, height, ...)
   • Create Graph object: graph_obj = Graph(axs[#row, #col], x, y)
   • Plot and decorate the object: obj.grapher(...) or Graph.grapher(obj, ...)
   • Show graph: Graph.show()
2. Error Data:
   • Create Error object: err_obj = Error(data)
   • Calculate error (can add certain constraints): err = Error.err(err_obj, ...) or err_obj.err(...)
3. Error Propagation:
   • Create Propagation object with 2 methods:
     • Use Error object: prop_obj = Propagation({variable : err_obj}, ...)
     • Use external error data: prop_obj = Propagation(manual_data = data, manual_err = err, ...)
   • Calculate propagated error: Propagation.propagator(prop_obj, expression, ...) or prop_obj.propagator(expression, ...)

Dependencies

Requires numpy, matplotlib, scipy and sympy (come with installation of physplot)

Installation

pip install physplot