Third times the charm. My guess is that this is a bug and Zhenya’s answer suggests it’s fixed in the latest version. I have version 0.99.1.1 and I’ve created the following solution: import matplotlib.pyplot as plt import numpy as np def forceAspect(ax,aspect=1): im = ax.get_images() extent = im[0].get_extent() ax.set_aspect(abs((extent[1]-extent[0])/(extent[3]-extent[2]))/aspect) data = np.random.rand(10,20) fig = plt.figure() … Read more
You could use scipy.interpolate.spline to smooth out your data yourself: from scipy.interpolate import spline # 300 represents number of points to make between T.min and T.max xnew = np.linspace(T.min(), T.max(), 300) power_smooth = spline(T, power, xnew) plt.plot(xnew,power_smooth) plt.show() spline is deprecated in scipy 0.19.0, use BSpline class instead. Switching from spline to BSpline isn’t a … Read more
I’m not sure whether it is a new feature in later versions of matplotlib, but at least for 1.3.1, this is simply: plt.title(figure_title, y=1.08) This also works for plt.suptitle(), but not (yet) for plt.xlabel(), etc.
Try gnuplot. It has very powerful graphing possibilities. It can output to your terminal in the following way: gnuplot> set terminal dumb Terminal type set to ‘dumb’ Options are ‘feed 79 24’ gnuplot> plot sin(x) 1 ++—————-**—————+—-**———–+——–**—–++ + *+ * + * * + sin(x) ****** + 0.8 ++ * * * * * * … Read more
There are several tools for converting Matlab to Python code. The only one that’s seen recent activity (last commit from June 2018) is Small Matlab to Python compiler (also developed here: SMOP@chiselapp). Other options include: LiberMate: translate from Matlab to Python and SciPy (Requires Python 2, last update 4 years ago). OMPC: Matlab to Python … Read more
The problem is the use of aspect=”equal”, which prevents the subplots from stretching to an arbitrary aspect ratio and filling up all the empty space. Normally, this would work: import matplotlib.pyplot as plt ax = [plt.subplot(2,2,i+1) for i in range(4)] for a in ax: a.set_xticklabels([]) a.set_yticklabels([]) plt.subplots_adjust(wspace=0, hspace=0) The result is this: However, with aspect=”equal”, … Read more
Plain and simple: plt.plot(x, y, ‘r-‘, alpha=0.7) (I know I add nothing new, but the straightforward answer should be visible).
By “camera position,” it sounds like you want to adjust the elevation and the azimuth angle that you use to view the 3D plot. You can set this with ax.view_init. I’ve used the below script to first create the plot, then I determined a good elevation, or elev, from which to view my plot. I … Read more
If you are using matplotlib and want to show the image in your interactive notebook, try the following: %pylab inline import matplotlib.pyplot as plt import matplotlib.image as mpimg img = mpimg.imread(‘your_image.png’) imgplot = plt.imshow(img) plt.show()
According to this – http://matplotlib.1069221.n5.nabble.com/axis-elements-and-zorder-td5346.html – you can use Axis.set_axisbelow(True) (I am currently installing matplotlib for the first time, so have no idea if that’s correct – I just found it by googling “matplotlib z order grid” – “z order” is typically used to describe this kind of thing (z being the axis “out of … Read more