#Adjust subplot size matplotlib how to
#Adjust subplot size matplotlib code
#Adjust subplot size matplotlib trial

Sns.boxplot(x= data.iloc, orient='v', ax=ax) # if you didn't set the figsize above you can do the following # I first grab some data from seaborn and make an extra column so that thereįig, axes = plt.subplots(nrows=2, ncols=4, figsize=(12,5)) I am also using data directly from seaborn itself. You can then simply call fig.tight_layout() to get the plot fitted nicely.Īlso, there is a much easier way to iterate through axes by using flatten on your array of axes objects. If you wanted to act on that figure you should have done fig.set_size_inches(12, 5) instead to change the size. You already created your figure and assigned to variable fig. It defaults to (6,4) in your plot since you did not set it. Set the figsize in your call to plt.subplots. Your call to plt.figure(figsize=(12,5)) is creating a new empty figure different from your already declared fig from the first step.

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#Adjust subplot size matplotlib how to

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If you want to use mpl_toolkits and make your hands dirty, this answer would be a good read. This answer for using the subplot parameters to achieve a certain aspect. If the image does not have equal limits (is not square), one still needs to divide by the aspect of the image: asp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim())Īsp /= np.abs(np.diff(ax1.get_xlim()) / np.diff(ax1.get_ylim())) Or you may set the aspect of the line plot depending on its axis limits such that it gets the same size as the image (in case the image has equal x and y sizes) asp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim())Īsp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim()) You may use automatic aspect on the image ax.imshow(z, aspect='auto')

It's not perfectly clear what your desired outcome is. I am using Python 2.7 and matplotlib 2.0.0 Is there a way to make imshow and a scatter plot appear the same size in a figure without manually changing the axes sizes?

#Adjust subplot size matplotlib trial

I have also tried to adjust the subplot sizes manually by using: fig = plt.figure()īy trial and error I can get the two subplots to the correct size, though any change in the overall figure size will mean that the subplots will no longer be the same size. I have tried using gridspec as shown in this answer: fig=plt.figure()īut this gives the same result. How can I get the two sublpots to have the same height? (and width I suppose)

#Adjust subplot size matplotlib code

Small example code is shown below: import matplotlib.pyplot as plt When trying this, the image appears smaller than the scatter plot.

I am trying to plot an image (using matplotlib.imshow) and a scatter plot within the same figure.