Note this graph. The upper trace just goes from 0 to 1.6ms. The lower trace was a series of such waveforms ocurring from 0 to 10 s. I zoomed in to see one wave. When you do that in Matlab the tick labels would take the form 8.168, 8.169, 8.170 which is legitimate, but gets hard to read when you zoom in a lot and you get lost in the digits. Matplotlib, on the other hand, produces the zoom plot pictured here. It shows you the offset on the right (8.168) and then just shows you the vernier values. Now THAT is what I call service. The matplotlib guys are really good. Its like they actually use their product for data analysis. They must be scientists or something :).
Note this graph. The upper trace just goes from 0 to 1.6ms. The lower trace was a series of such waveforms ocurring from 0 to 10 s. I zoomed in to see one wave. When you do that in Matlab the tick labels would take the form 8.168, 8.169, 8.170 which is legitimate, but gets hard to read when you zoom in a lot and you get lost in the digits. Matplotlib, on the other hand, produces the zoom plot pictured here. It shows you the offset on the right (8.168) and then just shows you the vernier values. Now THAT is what I call service. The matplotlib guys are really good. Its like they actually use their product for data analysis. They must be scientists or something :).
I created that particular feature. Thank you for the compliment!
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