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Using the DNPLab autophase function
This example demonstrates how to use the DNPLab autophase function on a dnpdata object.
The following example shows how the autophase function can be conveniently used. To get started, first, setup the python environment:
import dnplab as dnp
Let's load some example data the data consists of 4 fid that are phase cycled (0-90-180-270)
data = dnp.load("../../data/prospa/water_phase_cycled/data.2d")
we are interested in the spectra and only the arbitrary part from -900 to -100 ppm
data = dnp.fourier_transform(data)["f2", (-900.0, -100.0)]
we look at the real part of the spectra
data_real = data.real
lets plot the spectrum for all 4 cycles
dnp.fancy_plot(data_real)

[<matplotlib.lines.Line2D object at 0x7f964337d880>, <matplotlib.lines.Line2D object at 0x7f964337d610>, <matplotlib.lines.Line2D object at 0x7f964337d1f0>, <matplotlib.lines.Line2D object at 0x7f964337d4f0>]
clearly the spectra are phase cycled, but we'd like to have them phased all the same we can use dnp.autophase for that:
data_phased = dnp.autophase(data)
dnp.fancy_plot(data_phased)

[<matplotlib.lines.Line2D object at 0x7f963e14e6d0>, <matplotlib.lines.Line2D object at 0x7f963e178070>, <matplotlib.lines.Line2D object at 0x7f963e178ca0>, <matplotlib.lines.Line2D object at 0x7f963e1783d0>]
Total running time of the script: (0 minutes 0.338 seconds)