![how to install matplotlib 2.0.2 how to install matplotlib 2.0.2](https://miro.medium.com/max/1400/1*3xdoEhbcJhDh7MjCjix4tA.png)
If you don't need to share axes, then simply axLS=map(fig.add_axes, rectLS)Īnother method is to use the pad keyword from plt.subplots_adjust(), which also accepts negative values: import matplotlib.pyplot as pltĪdditionally, to remove the white at the outer fringe of all subplots (i.e.
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Or: something like this (use add_axes) left=ĪxLS.append(fig.add_axes(rectLS,sharey=axLS))ĪxLS.append(fig.add_axes(rectLS,sharex=axLS,sharey=axLS)) This does (or at least did) not work with plt.subplot() however, so you need to use plt.subplots() instead: fig, axs = plt.subplots(4, 4, constrained_layout=True) With recent matplotlib versions you might want to try Constrained Layout. Without resorting gridspec entirely, the following might also be used to remove the gaps by setting wspace and hspace to zero: import matplotlib.pyplot as pltį, axarr = plt.subplots(4, 4, gridspec_kw = ) We're going to use the object-oriented pyplot interface here, which I consider to be superior in general: import matplotlib.pyplot as pltįig = plt.figure(figsize=(8,8)) # Notice the equal aspect ratio To get around this problem, you can set your figure to have the correct aspect ratio. Since the figure is not a square, pyplot adds in extra spacing between the axes horizontally. Since the axes go from 0 to 1 by default (i.e., before you plot anything), using aspect='equal' forces each axis to be a square.
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The difference in this second case is that you've forced the x- and y-axes to have the same number of units/pixel. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. The TCL/Tk widgets library used by the TkAgg backend. No install necessaryrun the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. See What is a backend for more details on the optional matplotlib backends and the capabilities they provide. However, with aspect='equal', as in the following code: import matplotlib.pyplot as plt These are optional packages which you may want to install to use matplotlib with a user interface toolkit. Normally, this would work: import matplotlib.pyplot as pltĪx = 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. Gs1.update(wspace=0.025, hspace=0.05) # set the spacing between axes. You can use gridspec to control the spacing between axes.