SALib.plotting package

Submodules

SALib.plotting.morris module

Created on 29 Jun 2015

@author: @willu47

This module provides the basic infrastructure for plotting charts for the Method of Morris results

The procedures should build upon and return an axes instance:

import matplotlib.plot as plt
Si = morris.analyze(problem, param_values, Y, conf_level=0.95,
                    print_to_console=False, num_levels=10)
p = morris.horizontal_bar_plot(Si)
# set plot style etc.

fig, ax = plt.subplots(1, 1)
my_plotter(ax, data1, data2, {'marker':'x'})

p.show()
SALib.plotting.morris.covariance_plot(ax, Si, param_dict, unit='')[source]

Plots mu* against sigma or the 95% confidence interval

SALib.plotting.morris.horizontal_bar_plot(ax, Si, param_dict, sortby='mu_star', unit='')[source]

Updates a matplotlib axes instance with a horizontal bar plot

of mu_star, with error bars representing mu_star_conf

SALib.plotting.morris.sample_histograms(fig, input_sample, problem, param_dict)[source]

Plots a set of subplots of histograms of the input sample

Module contents