prophys.plot#
Quick matplotlib views of models, fields, risk maps, calibration runs and expression graphs.
The matplotlib views need the optional viz extra and return the Axes
they drew into, so plots can be combined in subplot grids with ax=.
graph() needs the graphviz package instead and returns a
graphviz.Digraph.
Functions
Plot a density histogram of Monte Carlo samples of one attribute of a compiled model. |
|
Plot a scalar Field as a heatmap in its own frame's coordinates. |
|
Evaluate a spatial expression at every point of a grid and plot it as a heatmap. |
|
Plot the loss history of a calibration or optimization run. |
|
Draw the node structure of an expression graph with graphviz. |