In Python, with Matplotlib, how to simply do a scatter plot with transparency (alpha < 1), but with a color bar that represents their color value, but has alpha = 1?
Here is what one gets, with from pylab import *; scatter(range(10), arange(0, 100, 10), c=range(10), alpha=0.2); color_bar = colorbar()
:
How can the color bar be made non-transparent?
PS: I tried color_bar.set_alpha(1); draw()
, but this did not do anything…
Utilize the alpha argument in our scatter method and pass in a numeric value between 0 and 1. A value of 0 will make the plots fully transparent and unable to view on a white background.
Matplotlib allows you to regulate the transparency of a graph plot using the alpha attribute. By default, alpha=1. If you would like to form the graph plot more transparent, then you'll make alpha but 1, such as 0.5 or 0.25.
To change the color of a scatter point in matplotlib, there is the option "c" in the function scatter.
Alright, I found one way to do it, that looks relatively clean: (using the ColorBar
object from the question)
color_bar.set_alpha(1) color_bar.draw_all() # pylab.draw() or pyplot.draw() might be necessary
It would be great to get a confirmation that this is the most robust way to proceed, though! :)
This is a huge, ugly hack. But no other way would work. Maybe someone else can improve.
fig1 = pylab.figure() fig2 = pylab.figure() ax1 = fig1.add_subplot(111) ax2 = fig2.add_subplot(111) ax1.scatter(range(10), range(10), c=range(10), alpha=0.2) im = ax2.scatter(range(10), range(10), c=range(10), alpha=1.0) fig1.colorbar(im, ax=ax1) fig1.show()
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