Package trunk :: Package BIP :: Package Bayes :: Module PlotMeld
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Module PlotMeld

source code

Module with specialized plotting functions for the Melding results

Date: $06/01/2010 11:24:20$

Author: fccoelho

Functions [hide private]
 
plot_series(tim, obs, series, names=[], title='series') source code
 
plot_pred(tim, series, y, fig, names=[], title='series') source code
 
pred_new_cases(obs, series, weeks, names=[], title='Total new cases per window: predicted vs observed', ws=7)
Predicted total new cases in a window vs oserved.
source code
 
plot_series2(tim, obs, series, names=[], title='Simulated vs Observed series', wl=7, lag=False) source code
 
plot_par_series(tim, ptlist) source code
 
plot_par_violin(tim, ptlist, priors={}, bp=True) source code
 
violin_plot(ax, data, positions, bp=False, prior=False)
Create violin plots on an axis
source code
 
peakdet(v, delta, x=None)
Converted from MATLAB script at http://billauer.co.il/peakdet.html Currently returns two lists of tuples, but maybe arrays would be better function [maxtab, mintab]=peakdet(v, delta, x) %PEAKDET Detect peaks in a vector % [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local % maxima and minima ("peaks") in the vector V. % MAXTAB and MINTAB consists of two columns. Column 1 % contains indices in V, and column 2 the found values. % % With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices % in MAXTAB and MINTAB are replaced with the corresponding % X-values. % % A point is considered a maximum peak if it has the maximal % value, and was preceded (to the left) by a value lower by % DELTA. % Eli Billauer, 3.4.05 (Explicitly not copyrighted). % This function is released to the public domain; Any use is allowed.
source code
Function Details [hide private]

violin_plot(ax, data, positions, bp=False, prior=False)

source code 
Create violin plots on an axis
Parameters:
  • ax - : A subplot object
  • data - : A list of data sets to plot
  • positions - : x values to position the violins. Can be datetime.date objects.
  • bp - : Whether to plot the boxplot on top.
  • prior - : whether the first element of data is a Prior distribution.