toolbox package

toolbox.plotting module

toolbox.plotting.gaussian(x, x0, sig, amp)

Formula for a Gaussian

toolbox.plotting.lorentz(x, x0, sig, amp)

Formula for a Lorentzian

toolbox.plotting.plotFitHist(data, figname='fig.pdf', bins=161, rmin=2000, rmax=6000)

Plot an histogramm and fit with Gaussian and Lorentzian functions

Parameters:

• data (np.array) – Input data
• figname (str) – Output filename of the file to save the figure
• bins (int) – Number of equal-width bins in the given range
• rmin (int) – max (most right-end bin edge) of the histogramm
• rmax (int) – min (most left-end bin edge) of the histogramm

See also

plotHist(), plotHists(), saveHists()

toolbox.plotting.plotHist(data, figname='fig.pdf', bins=161, rmin=2000, rmax=6000, logY=False)

Plot an histogramm and save the output spectrum as a figure

Parameters:

• data (np.array_like) – Input data
• figname (str) – Output filename of the file to save the figure
• bins (int) – Number of equal-width bins in the given range
• rmin (int) – max (most right-end bin edge) of the histogramm
• rmax (int) – min (most left-end bin edge) of the histogramm
• logY (bool) – Allow to plot the histogram in a logarithmique scale

See also

plotHist(), plotHists(), saveHists()

toolbox.plotting.plotHists(data, figname='fig.pdf', bins=161, rmin=2000, rmax=6000, logY=False, style='-')

Plot multiple histograms and save the output spectrum as a figure

Parameters:

• data (np.array_like) – Input data as multiple numpy arrays
• figname (str) – Output filename of the file to save the figure
• bins (int) – Number of equal-width bins in the given range
• rmin (int) – max (most right-end bin edge) of the histogramm
• rmax (int) – min (most left-end bin edge) of the histogramm
• logY (bool) – Allow to plot the histogram in a logarithmique scale
• style (str) – Plotting style, see matplotlib for more info

See also

plotHist(), plotHists(), saveHists()

toolbox.plotting.saveHists(data, filebase='histo', bins=161, rmin=2000, rmax=6000, useChnEnding=False)

Sort each data-set in data into histogram and save as text files

Parameters:

• data (list of np.array_like) – Input data asa list of several numpy arrays
• filebase (str) – Output filename base that will serve to form the output filename of each text file generated. Output file format is ASCII
• bins (int) – Number of equal-width bins in the given range
• rmin (int) – max (most right-end bin edge) of the histogramm
• rmax (int) – min (most left-end bin edge) of the histogramm
• useChnEnding (bool) – If Ture, channel ending type are inserted in the filename before the file extension. In False, an integer reprenseting the position in the input dataset is inserted instead

See also

plotHist(), plotHists(), saveHists()

toolbox.utils module

toolbox.utils.disableChildOf(widget, exceptThis=None)

Disable all the interactive widgets of a group/parent

Parameters:

• widget (QtWidget name, e.g. self.widgetName) – parent/group widget name for which all members will be disabled
• exceptThis (QtWidget name, e.g. self.widgetName) – name of the widget that remains enabled

toolbox.utils.enableChildOf(widget, exceptThis=None)

Enable all the interactive widgets of a group/parent

Parameters:

• widget (QtWidget name, e.g. self.widgetName) – parent/group widget name for which all members will be enabled
• exceptThis (QtWidget name, e.g. self.widgetName) – name of the widget that remains disabled

toolbox.utils.pairwise(iterable)

s -> (s0,s1), (s1,s2), (s2, s3), …

toolbox.utils.tripletwise(iterable)

s -> (s0,s1,s2), (s1,s2,s3), (s2,s3,s4), …

toolbox.utils.unique_everseen(iterable, key=None)

List unique elements, preserving order. Remember all elements ever seen.