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Adapted example from import pyqtgraph as pg
from pyqtgraph.graphicsItems.NonUniformImage import NonUniformImage
import numpy as np
pg.mkQApp()
pw = pg.PlotWidget()
pw.show()
# Linear x array for cell centers:
x = np.linspace(-4, 4, 9)
# Highly nonlinear x array:
x2 = x**3
y = np.linspace(-4, 4, 9)
z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)
nuimg = NonUniformImage(x2, y, z)
nuimg.setColorMap(pg.colormap.get("Purples", source="matplotlib"))
pw.addItem(nuimg)
X, Y = np.meshgrid(x2, y, indexing='ij')
pdi = pg.PlotDataItem(X.ravel(), Y.ravel(), pen=None, symbol='x')
pw.addItem(pdi)
pg.exec()The correct interpretation is that the provided coords are supposed to be the sampled data points, while the drawn polygons are shaded to the nearest coord's Z value. |
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still need to sort out |
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Recently realized that NonUniformImage didn't have an entry in our documentation. This PR aims to correct that, and also makes some minor changes to NonUniformImage as well.