Going off of the examples/basics/visuals/graphy.py, I tried to display a histogram but failed:
from vispy import app, visuals
import wx
import numpy as np
class snrHistogram(app.Canvas):
def __init__(self, *args, **kwargs):
app.Canvas.__init__(self, title='histogram fail',
keys="interactive", size=(600, 600))
self.snr_hist = visuals.HistogramVisual(np.arange(256), bins=4, color='r', orientation='v')
self.label = visuals.TextVisual("hi", color='blue', pos=[50, 50, 0])
self.configure_transforms()
self.show()
def configure_transforms(self):
vp = (0, 0, self.physical_size[0], self.physical_size[1])
self.context.set_viewport(*vp)
self.label.transforms.configure(canvas=self, viewport=vp)
self.snr_hist.transforms.configure(canvas=self, viewport=vp)
def on_resize(self, event):
self.configure_transforms()
def on_mouse_wheel(self, event):
self.update()
def on_draw(self, event):
self.snr_hist.draw()
self.label.draw()
self.update()
def on_close(self, event):
self.close()
if __name__ == '__main__':
s = snrHistogram()
app.run()
and yet the text visual works just fine. I understand histogramVisual is a subclass of mesh, but I didn't see anything useful in the source code of mesh.py. I am using wx as my backend.
The histogram was appearing, but very small. The following input data will coerce the program to display a histogram:
self.snr_hist = visuals.HistogramVisual(
np.repeat([0, 1, 1, 20, 20, 40, 40, 80, 80, 90, 81, 70, 65],
100), bins=4, color='r', orientation='h')
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