nmrglue.process.proc_autophase.manual_ps

nmrglue.process.proc_autophase.manual_ps(data, notebook=False)[source]

Manual Phase correction using matplotlib

A matplotlib widget is used to manually correct the phase of a Fourier transformed dataset. If the dataset has more than 1 dimensions, the first trace will be picked up for phase correction. Clicking the ‘Set Phase’ button will print the current linear phase parameters to the console. A ipywidget is provided for use with Jupyter Notebook to avoid changing backends. This can be accessed with notebook=True option in this function

Note

Needs matplotlib with an interactive backend.

Parameters

datandarray: Array of NMR data.
notebookBool: True for plotting interactively in Jupyter Notebook Uses ipywidgets instead of matplotlib widgets

Returns

p0, p1float: Linear phase correction parameters. Zero and first order phase corrections in degrees calculated from pc0, pc1 and pivot displayed in the interactive window.

Examples

>>> import nmrglue as ng
>>> p0, p1 = ng.process.proc_autophase.manual_ps(data)
>>> # do manual phase correction and close window
>>> phased_data = ng.proc_base.ps(data, p0=p0, p1=p1)

If you are using a Jupyter Notebook:

In  [1] ng.process.proc_autophase.manual_ps(data)
Out [1] # do manual phase correction. p0 and p1 values will be updated
        # continuously as you do so and are printed below the plot
In  [2] phased_data = ng.proc_base.ps(data, p0=p0, p1=p1)