Correct comment in examples/ScatterPlot.py
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@ -27,7 +27,6 @@ w2.setAspectLocked(True)
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view.nextRow()
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view.nextRow()
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w3 = view.addPlot()
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w3 = view.addPlot()
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w4 = view.addPlot()
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w4 = view.addPlot()
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print("Generating data, this takes a few seconds...")
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## There are a few different ways we can draw scatter plots; each is optimized for different types of data:
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## There are a few different ways we can draw scatter plots; each is optimized for different types of data:
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@ -58,8 +57,9 @@ s1.sigClicked.connect(clicked)
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## 2) Spots are transform-invariant, but not identical (top-right plot).
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## 2) Spots are transform-invariant, but not identical (top-right plot).
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## In this case, drawing is as fast as 1), but there is more startup overhead
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## In this case, drawing is almsot as fast as 1), but there is more startup
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## and memory usage since each spot generates its own pre-rendered image.
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## overhead and memory usage since each spot generates its own pre-rendered
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## image.
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s2 = pg.ScatterPlotItem(size=10, pen=pg.mkPen('w'), pxMode=True)
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s2 = pg.ScatterPlotItem(size=10, pen=pg.mkPen('w'), pxMode=True)
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pos = np.random.normal(size=(2,n), scale=1e-5)
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pos = np.random.normal(size=(2,n), scale=1e-5)
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