Options List

This example shows how to construct a set of widgets that can be used to select a series of plot customization options.



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import ipywidgets
import IPython.display
import iris

import numpy as np
import iris.quickplot as iplt

Load cube.



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cube = iris.load_cube(iris.sample_data_path('A1B.2098.pp'))
print cube

Compose lists of options and then construct widgets to present them. In some cases, you can compose the options list inside the parentheses.

Display the widget using the IPython display call.



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cmap_list = ['viridis', 'inferno', 'plasma', 'magma', 'jet', 'summer', 'autumn']

cmap = ipywidgets.Dropdown(
    options=cmap_list,
    value='jet',
    description='cmap:')

extend = ipywidgets.Dropdown(
    options=['neither', 'both', 'min', 'max'],
    value='both',
    description='extend:')

levels = ipywidgets.Text(
    description='Levels:',
    value='np.linspace(np.min(cube.data), np.max(cube.data), 10)')

IPython.display.display(cmap, extend, levels)

Print selected widget values for clarity.



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print cmap.value
print extend.value
print eval(levels.value)