First, what happens when T0 is not None? I would test that, then I would adjust the values I pass to plt.subplot(); maybe try values 131, 132, and 133, or values that depend whether or not T0 exists. Second, after plt.show() is called, a new figure is created. To deal with this, you can Call … Read more
Don’t laugh, but the easiest would be to use the rectangle function, indeed 😉 %// radius r = 2; %// center c = [3 3]; pos = [c-r 2*r 2*r]; rectangle(‘Position’,pos,’Curvature’,[1 1]) axis equal but set the curvature of the rectangle to 1! The position vector defines the rectangle, the first two values x and … Read more
You can save an image as ‘png’ and use the python imaging library (PIL) to convert this file to ‘jpg’: import Image import matplotlib.pyplot as plt plt.plot(range(10)) plt.savefig(‘testplot.png’) Image.open(‘testplot.png’).save(‘testplot.jpg’,’JPEG’) The original: The JPEG image:
You can nest your GridSpec using SubplotSpec. The outer grid will be a 2 x 2 and the inner grids will be 2 x 1. The following code should give you the basic idea. import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec fig = plt.figure(figsize=(10, 8)) outer = gridspec.GridSpec(2, 2, wspace=0.2, hspace=0.2) for i in … Read more
By default, matplotlib will use something like the TkAgg backend. This requires an X-server to be running. While you can just use X-forwarding, there will be a noticeable lag as matplotlib tries to connect with the remote X-server. If you don’t need to interact with the plot, it’s often nicer to speed things up by … Read more
Common grounds Both, add_axes and add_subplot add an axes to a figure. They both return a (subclass of a) matplotlib.axes.Axes object. However, the mechanism which is used to add the axes differs substantially. add_axes The calling signature of add_axes is add_axes(rect), where rect is a list [x0, y0, width, height] denoting the lower left point … Read more
Every time you are creating plots you might get this error – “Error in plot.new() : figure margins too large“. To avoid such errors you can first check par(“mar”) output. You should be getting: [1] 5.1 4.1 4.1 2.1 To change that write: par(mar=c(1,1,1,1)) This should rectify the error. Or else you can change the … Read more
The formatting of tick labels is controlled by a Formatter object, which assuming you haven’t done anything fancy will be a ScalerFormatterby default. This formatter will use a constant shift if the fractional change of the values visible is very small. To avoid this, simply turn it off: plt.plot(arange(0,100,10) + 1000, arange(0,100,10)) ax = plt.gca() … Read more
I think this would be best explained by the following picture: To initialize the above, one would type: import matplotlib.pyplot as plt fig = plt.figure() fig.add_subplot(221) #top left fig.add_subplot(222) #top right fig.add_subplot(223) #bottom left fig.add_subplot(224) #bottom right plt.show()