Try this: fig.delaxes(axes[1][2]) A much more flexible way to create subplots is the fig.add_axes() method. The parameters is a list of rect coordinates: fig.add_axes([x, y, xsize, ysize]). The values are relative to the canvas size, so an xsize of 0.5 means the subplot has half the width of the window.
If you debug your program by simply printing ax, you’ll quickly find out that ax is a two-dimensional array: one dimension for the rows, one for the columns. Thus, you need two indices to index ax to retrieve the actual AxesSubplot instance, like: ax[1,1].plot(…) If you want to iterate through the subplots in the way … Read more
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
You can simply do: import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 7, 0.01) plt.subplot(2, 1, 1) plt.plot(x, np.sin(x)) plt.subplot(2, 2, 3) plt.plot(x, np.cos(x)) plt.subplot(2, 2, 4) plt.plot(x, np.sin(x)*np.cos(x)) i.e., the first plot is really a plot in the upper half (the figure is only divided into 2×1 = 2 cells), and … Read more
I wrote a function very similar to plt.axes. You could use it for plotting yours sub-subplots. There is an example… import matplotlib.pyplot as plt import numpy as np #def add_subplot_axes(ax,rect,facecolor=”w”): # matplotlib 2.0+ def add_subplot_axes(ax,rect,axisbg=’w’): fig = plt.gcf() box = ax.get_position() width = box.width height = box.height inax_position = ax.transAxes.transform(rect[0:2]) transFigure = fig.transFigure.inverted() infig_position = … Read more
You can’t change the projection of an existing axes, the reason is given below. However the solution to your underlying problem is simply to use the subplot_kw argument to plt.subplots() described in the matplotlib documentation here. For example, if you wanted all your subplots to have the cartopy.crs.PlateCarree projection you could do import matplotlib.pyplot as … 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
There are two ways: Use the axes methods of the subplot object (e.g. ax.set_xticks and ax.set_xticklabels) or Use plt.sca to set the current axes for the pyplot state machine (i.e. the plt interface). As an example (this also illustrates using setp to change the properties of all of the subplots): import matplotlib.pyplot as plt fig, … Read more
You could always hide the axes which you do not need. For example, the following code turns off the 6th axes completely: import matplotlib.pyplot as plt hf, ha = plt.subplots(3,2) ha[-1, -1].axis(‘off’) plt.show() and results in the following figure: Alternatively, see the accepted answer to the question Hiding axis text in matplotlib plots for a … Read more
There are several ways to do this. The easy way is to exploit the y-labels and titles of the plot and then use fig.tight_layout() to make room for the labels. Alternatively, you can place additional text in the right location with annotate and then make room for it semi-manually. If you don’t have y-labels on … Read more