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Is it possible to save (to a png) an individual subplot in a matplotlib figure? Let's say I have

import pyplot.matplotlib as plt
ax1 = plt.subplot(121)
ax2 = plt.subplot(122)
ax1.plot([1,2,3],[4,5,6])    
ax2.plot([3,4,5],[7,8,9])

Is it possible to save each of the two subplots to different files or at least copy them separately to a new figure to save them?

I am using version 1.0.0 of matplotlib on RHEL 5.

Trenton McKinney
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Robert Franke
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2 Answers2

160

While @Eli is quite correct that there usually isn't much of a need to do it, it is possible. savefig takes a bbox_inches argument that can be used to selectively save only a portion of a figure to an image.

Here's a quick example:

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np

# Make an example plot with two subplots...
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax1.plot(range(10), 'b-')

ax2 = fig.add_subplot(2,1,2)
ax2.plot(range(20), 'r^')

# Save the full figure...
fig.savefig('full_figure.png')

# Save just the portion _inside_ the second axis's boundaries
extent = ax2.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
fig.savefig('ax2_figure.png', bbox_inches=extent)

# Pad the saved area by 10% in the x-direction and 20% in the y-direction
fig.savefig('ax2_figure_expanded.png', bbox_inches=extent.expanded(1.1, 1.2))

The full figure: Full Example Figure


Area inside the second subplot: Inside second subplot


Area around the second subplot padded by 10% in the x-direction and 20% in the y-direction: Full second subplot

Joe Kington
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    +1: Wow! I wish I had come across these methods while trying to learn more about Matplotlib! It would be great if the official documentation directed interested readers to these useful corners of Matplotlib, and if the presentation of the relevant concepts were more structured. :) – Eric O. Lebigot Dec 01 '10 at 21:54
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    A day you don't learn something new is a bad day... Well done ++ – Eli Bendersky Dec 02 '10 at 04:55
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    How to reduce the redundant space in top and right side of the produced figure if we use `extent.expanded()` method? Can we precisely designate the space in each of the four side of the produce figure? That would be excellent. – jdhao Jan 02 '18 at 09:30
  • Magical. I don't know you figured this out. – cerebrou Jul 13 '18 at 05:02
  • amazing! (sorry, stackoverflow, had to say it since this is so useful) – Barden May 10 '21 at 22:30
  • Amazing! To hide the black remainders of the axes lines, you can toggle `ax2.axis('off')` and `ax2.axis('on')` after saving – F1iX Aug 04 '21 at 16:20
  • It appears that in the latest versions matplotlib removed dpi_scale_trans. I tried doing a Transform(figure.dpi).inverted(), but it didn't work (and to be honest it was a wild guess). Do you happen to know what's the latest way to apply your solution? – CrystalSpider Feb 13 '23 at 23:36
52

Applying the full_extent() function in an answer by @Joe 3 years later from here, you can get exactly what the OP was looking for. Alternatively, you can use Axes.get_tightbbox() which gives a little tighter bounding box

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
from matplotlib.transforms import Bbox

def full_extent(ax, pad=0.0):
    """Get the full extent of an axes, including axes labels, tick labels, and
    titles."""
    # For text objects, we need to draw the figure first, otherwise the extents
    # are undefined.
    ax.figure.canvas.draw()
    items = ax.get_xticklabels() + ax.get_yticklabels() 
#    items += [ax, ax.title, ax.xaxis.label, ax.yaxis.label]
    items += [ax, ax.title]
    bbox = Bbox.union([item.get_window_extent() for item in items])

    return bbox.expanded(1.0 + pad, 1.0 + pad)

# Make an example plot with two subplots...
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax1.plot(range(10), 'b-')

ax2 = fig.add_subplot(2,1,2)
ax2.plot(range(20), 'r^')

# Save the full figure...
fig.savefig('full_figure.png')

# Save just the portion _inside_ the second axis's boundaries
extent = full_extent(ax2).transformed(fig.dpi_scale_trans.inverted())
# Alternatively,
# extent = ax.get_tightbbox(fig.canvas.renderer).transformed(fig.dpi_scale_trans.inverted())
fig.savefig('ax2_figure.png', bbox_inches=extent)

I'd post a pic but I lack the reputation points

Community
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Matt Gibson
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    This answer can be extended to include the text labels by adding items += [ax.get_xaxis().get_label(), ax.get_yaxis().get_label()]. They were cut off before I added that. – Erotemic Nov 17 '15 at 17:27
  • I get `AttributeError: 'FigureCanvasAgg' object has no attribute 'renderer'` – sds Feb 01 '23 at 02:04
  • @sds `fig.canvas.get_renderer()` does work. – J. Choi Apr 19 '23 at 09:09