Plotting Data

SpinLab uses MatplotLib to plot data and the entire pyplot module of matplotlib is available in SpinLab. For example after importing SpinLab the pyplot figure() commands can be used in the following way:

>>> import spinlab as sl
>>> sl.plt.figure()

Fancy Plot

SpinLab has a built-in plotting function called fancy_plot to generate publication ready figures. The appearance of the figure is controlled by the attribute experiment-type of the sldata object. This attribute is set automatically, when a data set is imported and the axis labeling, (default) title, appearance is controlled through the value of this sldata object attribute.

The following table gives a list of available attributes. The parameters are defined in the SpinLab configuration file.

To have the data plotted in a a specific plot, change the experiment-type attribute after loading the data. For example to show an EPR transient in the correct format:

>>> import spinlab as sl
>>> data = sl.load("Path to my data set")
>>> data.attrs["experiment-type"] = "epr_transient"

EPR Specific Plots

#	Attribute	Type	Description
1	echo_decay	EPR	Plot the echo intensity measured as a function of the pulse separation at a static magnetic field position
2	eldor_profile	EPR	Plot the ELDOR profile versus the pump frequency.
3	epr_spectrum	EPR	This is a standard EPR spectrum. It is the default when an EPR measurement is loaded using SpinLab.
4	epr_transient	EPR	EPR transient from the transient recorder. The signal intensity is plotted as a function of the time.
5	epr_transient_E580	EPR	EPR transient from the transient recorder. The signal intensity is plotted as a function of the time. This attribute is specific to when data from the Bruker E580 is imported.
6	inversion_revovyery	EPR	Inversion recovery experiment. The echo (or FID) amplitude is plotted as a function of the time separating the inversion pulse from the detection sequence.
7	saturation_recovery	EPR	Saturation recovery experiment. The echo (or FID) amplitude is plotted as a function of the time separating the saturation pulse from the detection sequence.

NMR/DNP Specific Plots

#	Attribute	Type	Description
1	enhancements_P	DNP	Plotting the DNP enhancement factor as a function of the applied microwave power in Watt (W).
2	enhancements_PdBm	DNP	Plotting the DNP enhancement factor as a function of the applied microwave power in dBm.
3	enhancements_PW	DNP	Plotting the DNP enhancement factor as a function of the applied microwave power in Watt (W).
4	inversion_revovyer	NMR	Inversion recovery experiment. The signal amplitude is plotted as a function of the time separating the inversion pulse from the detection sequence.
5	polarization_buildup	DNP	Plotting the DNP enhancement factor as a function of the polarization time.
6	sl_enhancement_profile_f	DNP	Plotting the DNP enhancement factor as a function of the frequency.

Generic Plotting Function

If no experimnent type is specified, SpinLab has a generic plotting function to plot a SpinLab data object (here data). Simply use the sl.plot() command:

>>> import spinlab as sl
>>> data = sl.load("Path to my data set")
>>> sl.plot(data)