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Methods defined here:
- plotFit( x, data=None, yfit=None, model=None,
fitter=None, show=True, residuals=False )
Plot data and fit
Parameters
----------
x : array_like
xdata of the problem
data : array_like
ydata of the problem
yfit : array_like
fit of the data to the model
model : Model
the model the data are fitted to
fitter : BaseFitter
the fitter being used
if set it displays the confidence regions
show : dict bool
display the plot.
residuals : dict bool
display the residuals ina separate panel.
- plotSampleList( sl, xdata, ydata, errors=None,
npt=10000, residuals=False, xlabel=None, ylabel=None, title=None, figsize=[7,5],
xlim=None, ylim=None, filename=None, transparent=False )
Plot data (with errors), npt points randomly selected from the posterior
and fit (average from posterior).
If residuals is true, the lower panel shows the residuals with respect to the fit.
Parameters
----------
sl : SampleList
Samples from Posterior (fron NestedSampler)
xdata : array_like
ydata of the problem
ydata : array_like
ydata of the problem
errors : None or array_like
(No) errors on ydata are plotted
npt : int
Number of points from the posterior (10000)
residuals : bool
display the residuals in a separate panel.
xlabel : None or str
label at x-axis
ylabel : None or str
label at y-axis
title : None or str
title of the plot
figsize : None or list -f 2 floats
size of plot in cm
xlim : None or list of 2 floats
size of x-axis
ylim : None or list of 2 floats
size of y-axis
filename : None or str
write a png file with filename; otherwise show
transparent : bool
make the png file transparent.
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