Utilities¶

A few miff-muffet-moof functions.

zip_axes¶

vtkplotlib.zip_axes(*axes)[source]¶

Convert vertex data from separate arrays for x, y, z to a single combined points array like most vpl functions require.

Parameters: axes (numpy.ndarray) – Each separate axis to combine.

All axes must have the matching or broadcastable shapes. The number of axes doesn’t have to be 3.

import vtkplotlib as vpl
import numpy as np

vpl.zip_axes(np.arange(10),
             4,
             np.arange(-5, 5))

# Out: array([[ 0,  4, -5],
#             [ 1,  4, -4],
#             [ 2,  4, -3],
#             [ 3,  4, -2],
#             [ 4,  4, -1],
#             [ 5,  4,  0],
#             [ 6,  4,  1],
#             [ 7,  4,  2],
#             [ 8,  4,  3],
#             [ 9,  4,  4]])

unzip_axes¶

vtkplotlib.unzip_axes(points)[source]¶

Separate each component from an array of points.

Parameters: points (numpy.ndarray) – Some points.
Returns: Each axis separately as a tuple.
Return type: tuple

See zip_axes() more information and the reverse.

quick_test_plot¶

vtkplotlib.quick_test_plot(fig='gcf')[source]¶

A quick laziness function to create 30 random spheres.

Parameters: fig (figure or QtFigure) – The figure to plot into, use None for no figure, defaults to the output of vtkplotlib.gcf().

import vtkplotlib as vpl

vpl.quick_test_plot()
vpl.show()