Removing white space around a saved image in matplotlib












88















I need to take an image and save it after some process. The figure looks fine when I display it, but when I save the figure I got some white space around the saved image. I have tried the 'tight' option for savefig method, did not work either. The code:



  import matplotlib.image as mpimg
import matplotlib.pyplot as plt

fig = plt.figure(1)
img = mpimg.imread(path)
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches=extent)

plt.axis('off')
plt.show()


I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without graph it works, but when added a graph I get white space around the saved image;



import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_edge(1,3)
G.add_edge(1,2)
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("C:\images\1.jpg")
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches = extent)

plt.axis('off')
plt.show()









share|improve this question




















  • 1





    Possible duplicate of Saving a matplotlib/networkx figure without margins

    – Joel
    Oct 13 '15 at 10:03











  • What really worked for me was to crop the pdf using another tool, such as pdfcrop.

    – toliveira
    Jun 12 '18 at 11:33


















88















I need to take an image and save it after some process. The figure looks fine when I display it, but when I save the figure I got some white space around the saved image. I have tried the 'tight' option for savefig method, did not work either. The code:



  import matplotlib.image as mpimg
import matplotlib.pyplot as plt

fig = plt.figure(1)
img = mpimg.imread(path)
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches=extent)

plt.axis('off')
plt.show()


I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without graph it works, but when added a graph I get white space around the saved image;



import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_edge(1,3)
G.add_edge(1,2)
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("C:\images\1.jpg")
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches = extent)

plt.axis('off')
plt.show()









share|improve this question




















  • 1





    Possible duplicate of Saving a matplotlib/networkx figure without margins

    – Joel
    Oct 13 '15 at 10:03











  • What really worked for me was to crop the pdf using another tool, such as pdfcrop.

    – toliveira
    Jun 12 '18 at 11:33
















88












88








88


24






I need to take an image and save it after some process. The figure looks fine when I display it, but when I save the figure I got some white space around the saved image. I have tried the 'tight' option for savefig method, did not work either. The code:



  import matplotlib.image as mpimg
import matplotlib.pyplot as plt

fig = plt.figure(1)
img = mpimg.imread(path)
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches=extent)

plt.axis('off')
plt.show()


I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without graph it works, but when added a graph I get white space around the saved image;



import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_edge(1,3)
G.add_edge(1,2)
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("C:\images\1.jpg")
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches = extent)

plt.axis('off')
plt.show()









share|improve this question
















I need to take an image and save it after some process. The figure looks fine when I display it, but when I save the figure I got some white space around the saved image. I have tried the 'tight' option for savefig method, did not work either. The code:



  import matplotlib.image as mpimg
import matplotlib.pyplot as plt

fig = plt.figure(1)
img = mpimg.imread(path)
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches=extent)

plt.axis('off')
plt.show()


I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without graph it works, but when added a graph I get white space around the saved image;



import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_edge(1,3)
G.add_edge(1,2)
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("C:\images\1.jpg")
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig('1.png', bbox_inches = extent)

plt.axis('off')
plt.show()






python matplotlib






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share|improve this question













share|improve this question




share|improve this question








edited Aug 7 '12 at 16:44







Ahmet Tuğrul Bayrak

















asked Aug 7 '12 at 1:02









Ahmet Tuğrul BayrakAhmet Tuğrul Bayrak

6041518




6041518








  • 1





    Possible duplicate of Saving a matplotlib/networkx figure without margins

    – Joel
    Oct 13 '15 at 10:03











  • What really worked for me was to crop the pdf using another tool, such as pdfcrop.

    – toliveira
    Jun 12 '18 at 11:33
















  • 1





    Possible duplicate of Saving a matplotlib/networkx figure without margins

    – Joel
    Oct 13 '15 at 10:03











  • What really worked for me was to crop the pdf using another tool, such as pdfcrop.

    – toliveira
    Jun 12 '18 at 11:33










1




1





Possible duplicate of Saving a matplotlib/networkx figure without margins

– Joel
Oct 13 '15 at 10:03





Possible duplicate of Saving a matplotlib/networkx figure without margins

– Joel
Oct 13 '15 at 10:03













What really worked for me was to crop the pdf using another tool, such as pdfcrop.

– toliveira
Jun 12 '18 at 11:33







What really worked for me was to crop the pdf using another tool, such as pdfcrop.

– toliveira
Jun 12 '18 at 11:33














8 Answers
8






active

oldest

votes


















82














I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file.
(Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)



gca().set_axis_off()
subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
hspace = 0, wspace = 0)
margins(0,0)
gca().xaxis.set_major_locator(NullLocator())
gca().yaxis.set_major_locator(NullLocator())
savefig("filename.pdf", bbox_inches = 'tight',
pad_inches = 0)


I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.






share|improve this answer



















  • 5





    Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

    – Florian Brucker
    Oct 28 '15 at 17:54






  • 3





    I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

    – Annan
    May 16 '16 at 17:54






  • 3





    The only answer that actually worked!

    – Sleepyhead
    May 24 '16 at 8:18






  • 7





    pad_inches helped me.

    – Myles Baker
    Aug 15 '16 at 4:56






  • 3





    matplotlib.ticker.NullLocator()

    – Joop
    Jun 14 '17 at 13:14



















128














You can remove the white space padding by setting bbox_inches="tight" in savefig:



plt.savefig("test.png",bbox_inches='tight')


You'll have to put the argument to bbox_inches as a string, perhaps this is why it didn't work earlier for you.





Possible duplicates:



Matplotlib plots: removing axis, legends and white spaces



How to set the margins for a matplotlib figure?



Reduce left and right margins in matplotlib plot






share|improve this answer





















  • 1





    If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

    – Abhranil Das
    Apr 21 '13 at 12:06






  • 18





    That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

    – Mike
    Dec 19 '14 at 16:46






  • 16





    still some whitespace left...

    – Sleepyhead
    May 24 '16 at 8:15






  • 4





    To remove the black edge as well, you may need to set pad_inches=-0.1

    – lenhhoxung
    Oct 12 '17 at 14:09






  • 3





    This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

    – BjornW
    Apr 7 '18 at 10:50



















10














I found something from Arvind Pereira (http://robotics.usc.edu/~ampereir/wordpress/?p=626) and seemed to work for me:



plt.savefig(filename, transparent = True, bbox_inches = 'tight', pad_inches = 0)





share|improve this answer





















  • 2





    transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

    – Vlady Veselinov
    Jul 28 '18 at 16:34



















6














I found the following codes work perfectly for the job.



fig = plt.figure(figsize=[6,6])
ax = fig.add_subplot(111)
ax.imshow(data)
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.set_frame_on(False)
plt.savefig('data.png', dpi=400, bbox_inches='tight',pad_inches=0)





share|improve this answer



















  • 2





    Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

    – Tim Diekmann
    May 24 '18 at 15:26



















2














After trying the above answers with no success (and a slew of other stack posts) what finally worked for me was just



plt.gca().set_axis_off()
plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
hspace = 0, wspace = 0)
plt.margins(0,0)
plt.savefig("myfig.pdf")


Importantly this does not include the bbox or padding arguments. For unclear reasons, when I had the bbox argument included in my savefig, my figure was shifted right and upwards off-center.






share|improve this answer































    0














    i followed this sequence and it worked like a charm.




    plt.axis("off")



    fig=plt.imshow(image array,interpolation='nearest')



    fig.axes.get_xaxis().set_visible(False)



    fig.axes.get_yaxis().set_visible(False)



    plt.savefig('destination_path.pdf',bbox_inches='tight', pad_inches = 0, format='pdf', dpi=1200)







    share|improve this answer































      0














      The following function incorporates johannes-s answer above. I have tested it with plt.figure and plt.subplots() with multiple axes, and it works nicely.



      def save(filepath, fig=None):
      '''Save the current image with no whitespace
      Example filepath: "myfig.png" or r"C:myfig.pdf"
      '''
      import matplotlib.pyplot as plt
      if not fig:
      fig = plt.gcf()

      plt.subplots_adjust(0,0,1,1,0,0)
      for ax in fig.axes:
      ax.axis('off')
      ax.margins(0,0)
      ax.xaxis.set_major_locator(plt.NullLocator())
      ax.yaxis.set_major_locator(plt.NullLocator())
      fig.savefig(filepath, pad_inches = 0, bbox_inches='tight')





      share|improve this answer































        -2














        This works for me saving a numpy array plotted with imshow to file



        import matplotlib.pyplot as plt

        fig = plt.figure(figsize=(10,10))
        plt.imshow(img) # your image here
        plt.axis("off")
        plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
        hspace = 0, wspace = 0)
        plt.savefig("example2.png", box_inches='tight', dpi=100)
        plt.show()





        share|improve this answer























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          8 Answers
          8






          active

          oldest

          votes








          8 Answers
          8






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          82














          I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file.
          (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)



          gca().set_axis_off()
          subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
          hspace = 0, wspace = 0)
          margins(0,0)
          gca().xaxis.set_major_locator(NullLocator())
          gca().yaxis.set_major_locator(NullLocator())
          savefig("filename.pdf", bbox_inches = 'tight',
          pad_inches = 0)


          I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.






          share|improve this answer



















          • 5





            Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

            – Florian Brucker
            Oct 28 '15 at 17:54






          • 3





            I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

            – Annan
            May 16 '16 at 17:54






          • 3





            The only answer that actually worked!

            – Sleepyhead
            May 24 '16 at 8:18






          • 7





            pad_inches helped me.

            – Myles Baker
            Aug 15 '16 at 4:56






          • 3





            matplotlib.ticker.NullLocator()

            – Joop
            Jun 14 '17 at 13:14
















          82














          I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file.
          (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)



          gca().set_axis_off()
          subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
          hspace = 0, wspace = 0)
          margins(0,0)
          gca().xaxis.set_major_locator(NullLocator())
          gca().yaxis.set_major_locator(NullLocator())
          savefig("filename.pdf", bbox_inches = 'tight',
          pad_inches = 0)


          I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.






          share|improve this answer



















          • 5





            Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

            – Florian Brucker
            Oct 28 '15 at 17:54






          • 3





            I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

            – Annan
            May 16 '16 at 17:54






          • 3





            The only answer that actually worked!

            – Sleepyhead
            May 24 '16 at 8:18






          • 7





            pad_inches helped me.

            – Myles Baker
            Aug 15 '16 at 4:56






          • 3





            matplotlib.ticker.NullLocator()

            – Joop
            Jun 14 '17 at 13:14














          82












          82








          82







          I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file.
          (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)



          gca().set_axis_off()
          subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
          hspace = 0, wspace = 0)
          margins(0,0)
          gca().xaxis.set_major_locator(NullLocator())
          gca().yaxis.set_major_locator(NullLocator())
          savefig("filename.pdf", bbox_inches = 'tight',
          pad_inches = 0)


          I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.






          share|improve this answer













          I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file.
          (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)



          gca().set_axis_off()
          subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
          hspace = 0, wspace = 0)
          margins(0,0)
          gca().xaxis.set_major_locator(NullLocator())
          gca().yaxis.set_major_locator(NullLocator())
          savefig("filename.pdf", bbox_inches = 'tight',
          pad_inches = 0)


          I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Dec 1 '14 at 11:45









          Johannes S.Johannes S.

          83672




          83672








          • 5





            Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

            – Florian Brucker
            Oct 28 '15 at 17:54






          • 3





            I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

            – Annan
            May 16 '16 at 17:54






          • 3





            The only answer that actually worked!

            – Sleepyhead
            May 24 '16 at 8:18






          • 7





            pad_inches helped me.

            – Myles Baker
            Aug 15 '16 at 4:56






          • 3





            matplotlib.ticker.NullLocator()

            – Joop
            Jun 14 '17 at 13:14














          • 5





            Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

            – Florian Brucker
            Oct 28 '15 at 17:54






          • 3





            I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

            – Annan
            May 16 '16 at 17:54






          • 3





            The only answer that actually worked!

            – Sleepyhead
            May 24 '16 at 8:18






          • 7





            pad_inches helped me.

            – Myles Baker
            Aug 15 '16 at 4:56






          • 3





            matplotlib.ticker.NullLocator()

            – Joop
            Jun 14 '17 at 13:14








          5




          5





          Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

          – Florian Brucker
          Oct 28 '15 at 17:54





          Finally something that works, thank you so much! By the way, in my case only the two lines using set_major_locator were necessary.

          – Florian Brucker
          Oct 28 '15 at 17:54




          3




          3





          I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

          – Annan
          May 16 '16 at 17:54





          I've spent the last hour trying various things and could not get rid of a 1px white border. This was the only thing which worked - specifically the pad_inches=0 which other answers do not mention.

          – Annan
          May 16 '16 at 17:54




          3




          3





          The only answer that actually worked!

          – Sleepyhead
          May 24 '16 at 8:18





          The only answer that actually worked!

          – Sleepyhead
          May 24 '16 at 8:18




          7




          7





          pad_inches helped me.

          – Myles Baker
          Aug 15 '16 at 4:56





          pad_inches helped me.

          – Myles Baker
          Aug 15 '16 at 4:56




          3




          3





          matplotlib.ticker.NullLocator()

          – Joop
          Jun 14 '17 at 13:14





          matplotlib.ticker.NullLocator()

          – Joop
          Jun 14 '17 at 13:14













          128














          You can remove the white space padding by setting bbox_inches="tight" in savefig:



          plt.savefig("test.png",bbox_inches='tight')


          You'll have to put the argument to bbox_inches as a string, perhaps this is why it didn't work earlier for you.





          Possible duplicates:



          Matplotlib plots: removing axis, legends and white spaces



          How to set the margins for a matplotlib figure?



          Reduce left and right margins in matplotlib plot






          share|improve this answer





















          • 1





            If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

            – Abhranil Das
            Apr 21 '13 at 12:06






          • 18





            That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

            – Mike
            Dec 19 '14 at 16:46






          • 16





            still some whitespace left...

            – Sleepyhead
            May 24 '16 at 8:15






          • 4





            To remove the black edge as well, you may need to set pad_inches=-0.1

            – lenhhoxung
            Oct 12 '17 at 14:09






          • 3





            This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

            – BjornW
            Apr 7 '18 at 10:50
















          128














          You can remove the white space padding by setting bbox_inches="tight" in savefig:



          plt.savefig("test.png",bbox_inches='tight')


          You'll have to put the argument to bbox_inches as a string, perhaps this is why it didn't work earlier for you.





          Possible duplicates:



          Matplotlib plots: removing axis, legends and white spaces



          How to set the margins for a matplotlib figure?



          Reduce left and right margins in matplotlib plot






          share|improve this answer





















          • 1





            If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

            – Abhranil Das
            Apr 21 '13 at 12:06






          • 18





            That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

            – Mike
            Dec 19 '14 at 16:46






          • 16





            still some whitespace left...

            – Sleepyhead
            May 24 '16 at 8:15






          • 4





            To remove the black edge as well, you may need to set pad_inches=-0.1

            – lenhhoxung
            Oct 12 '17 at 14:09






          • 3





            This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

            – BjornW
            Apr 7 '18 at 10:50














          128












          128








          128







          You can remove the white space padding by setting bbox_inches="tight" in savefig:



          plt.savefig("test.png",bbox_inches='tight')


          You'll have to put the argument to bbox_inches as a string, perhaps this is why it didn't work earlier for you.





          Possible duplicates:



          Matplotlib plots: removing axis, legends and white spaces



          How to set the margins for a matplotlib figure?



          Reduce left and right margins in matplotlib plot






          share|improve this answer















          You can remove the white space padding by setting bbox_inches="tight" in savefig:



          plt.savefig("test.png",bbox_inches='tight')


          You'll have to put the argument to bbox_inches as a string, perhaps this is why it didn't work earlier for you.





          Possible duplicates:



          Matplotlib plots: removing axis, legends and white spaces



          How to set the margins for a matplotlib figure?



          Reduce left and right margins in matplotlib plot







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited May 23 '17 at 12:26









          Community

          11




          11










          answered Aug 7 '12 at 13:39









          HookedHooked

          47k26136204




          47k26136204








          • 1





            If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

            – Abhranil Das
            Apr 21 '13 at 12:06






          • 18





            That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

            – Mike
            Dec 19 '14 at 16:46






          • 16





            still some whitespace left...

            – Sleepyhead
            May 24 '16 at 8:15






          • 4





            To remove the black edge as well, you may need to set pad_inches=-0.1

            – lenhhoxung
            Oct 12 '17 at 14:09






          • 3





            This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

            – BjornW
            Apr 7 '18 at 10:50














          • 1





            If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

            – Abhranil Das
            Apr 21 '13 at 12:06






          • 18





            That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

            – Mike
            Dec 19 '14 at 16:46






          • 16





            still some whitespace left...

            – Sleepyhead
            May 24 '16 at 8:15






          • 4





            To remove the black edge as well, you may need to set pad_inches=-0.1

            – lenhhoxung
            Oct 12 '17 at 14:09






          • 3





            This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

            – BjornW
            Apr 7 '18 at 10:50








          1




          1





          If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

          – Abhranil Das
          Apr 21 '13 at 12:06





          If you have multiple subplots and want to save each of them, you can use this with fig.savefig() too. (plt.savefig() will not work in that case.)

          – Abhranil Das
          Apr 21 '13 at 12:06




          18




          18





          That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

          – Mike
          Dec 19 '14 at 16:46





          That's not quite right. When you use that bbox_inches option, there's another default that leaves some space. If you really want to get rid of everything, you need to also use pad_inches=0.0. Of course, such tight padding frequently cuts off, e.g., exponents...

          – Mike
          Dec 19 '14 at 16:46




          16




          16





          still some whitespace left...

          – Sleepyhead
          May 24 '16 at 8:15





          still some whitespace left...

          – Sleepyhead
          May 24 '16 at 8:15




          4




          4





          To remove the black edge as well, you may need to set pad_inches=-0.1

          – lenhhoxung
          Oct 12 '17 at 14:09





          To remove the black edge as well, you may need to set pad_inches=-0.1

          – lenhhoxung
          Oct 12 '17 at 14:09




          3




          3





          This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

          – BjornW
          Apr 7 '18 at 10:50





          This simply doesn't work, you still get whitespace around the figure. Setting the transparent option (as mentioned in some answers) doesn't really help either, the whitespace is still there, it's only transparent.

          – BjornW
          Apr 7 '18 at 10:50











          10














          I found something from Arvind Pereira (http://robotics.usc.edu/~ampereir/wordpress/?p=626) and seemed to work for me:



          plt.savefig(filename, transparent = True, bbox_inches = 'tight', pad_inches = 0)





          share|improve this answer





















          • 2





            transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

            – Vlady Veselinov
            Jul 28 '18 at 16:34
















          10














          I found something from Arvind Pereira (http://robotics.usc.edu/~ampereir/wordpress/?p=626) and seemed to work for me:



          plt.savefig(filename, transparent = True, bbox_inches = 'tight', pad_inches = 0)





          share|improve this answer





















          • 2





            transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

            – Vlady Veselinov
            Jul 28 '18 at 16:34














          10












          10








          10







          I found something from Arvind Pereira (http://robotics.usc.edu/~ampereir/wordpress/?p=626) and seemed to work for me:



          plt.savefig(filename, transparent = True, bbox_inches = 'tight', pad_inches = 0)





          share|improve this answer















          I found something from Arvind Pereira (http://robotics.usc.edu/~ampereir/wordpress/?p=626) and seemed to work for me:



          plt.savefig(filename, transparent = True, bbox_inches = 'tight', pad_inches = 0)






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Sep 11 '17 at 15:25









          mkl

          54.5k1168146




          54.5k1168146










          answered Sep 11 '17 at 15:05









          unclericounclerico

          11712




          11712








          • 2





            transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

            – Vlady Veselinov
            Jul 28 '18 at 16:34














          • 2





            transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

            – Vlady Veselinov
            Jul 28 '18 at 16:34








          2




          2





          transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

          – Vlady Veselinov
          Jul 28 '18 at 16:34





          transparent=True will make it seem like there's no problem but it will just hide white space, image dimensions won't be ok.

          – Vlady Veselinov
          Jul 28 '18 at 16:34











          6














          I found the following codes work perfectly for the job.



          fig = plt.figure(figsize=[6,6])
          ax = fig.add_subplot(111)
          ax.imshow(data)
          ax.axes.get_xaxis().set_visible(False)
          ax.axes.get_yaxis().set_visible(False)
          ax.set_frame_on(False)
          plt.savefig('data.png', dpi=400, bbox_inches='tight',pad_inches=0)





          share|improve this answer



















          • 2





            Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

            – Tim Diekmann
            May 24 '18 at 15:26
















          6














          I found the following codes work perfectly for the job.



          fig = plt.figure(figsize=[6,6])
          ax = fig.add_subplot(111)
          ax.imshow(data)
          ax.axes.get_xaxis().set_visible(False)
          ax.axes.get_yaxis().set_visible(False)
          ax.set_frame_on(False)
          plt.savefig('data.png', dpi=400, bbox_inches='tight',pad_inches=0)





          share|improve this answer



















          • 2





            Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

            – Tim Diekmann
            May 24 '18 at 15:26














          6












          6








          6







          I found the following codes work perfectly for the job.



          fig = plt.figure(figsize=[6,6])
          ax = fig.add_subplot(111)
          ax.imshow(data)
          ax.axes.get_xaxis().set_visible(False)
          ax.axes.get_yaxis().set_visible(False)
          ax.set_frame_on(False)
          plt.savefig('data.png', dpi=400, bbox_inches='tight',pad_inches=0)





          share|improve this answer













          I found the following codes work perfectly for the job.



          fig = plt.figure(figsize=[6,6])
          ax = fig.add_subplot(111)
          ax.imshow(data)
          ax.axes.get_xaxis().set_visible(False)
          ax.axes.get_yaxis().set_visible(False)
          ax.set_frame_on(False)
          plt.savefig('data.png', dpi=400, bbox_inches='tight',pad_inches=0)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered May 24 '18 at 15:16









          Richard Yu LiuRichard Yu Liu

          6113




          6113








          • 2





            Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

            – Tim Diekmann
            May 24 '18 at 15:26














          • 2





            Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

            – Tim Diekmann
            May 24 '18 at 15:26








          2




          2





          Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

          – Tim Diekmann
          May 24 '18 at 15:26





          Generally, answers are much more helpful if they include an explanation of what the code is intended to do, and why that solves the problem without introducing others.

          – Tim Diekmann
          May 24 '18 at 15:26











          2














          After trying the above answers with no success (and a slew of other stack posts) what finally worked for me was just



          plt.gca().set_axis_off()
          plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
          hspace = 0, wspace = 0)
          plt.margins(0,0)
          plt.savefig("myfig.pdf")


          Importantly this does not include the bbox or padding arguments. For unclear reasons, when I had the bbox argument included in my savefig, my figure was shifted right and upwards off-center.






          share|improve this answer




























            2














            After trying the above answers with no success (and a slew of other stack posts) what finally worked for me was just



            plt.gca().set_axis_off()
            plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
            hspace = 0, wspace = 0)
            plt.margins(0,0)
            plt.savefig("myfig.pdf")


            Importantly this does not include the bbox or padding arguments. For unclear reasons, when I had the bbox argument included in my savefig, my figure was shifted right and upwards off-center.






            share|improve this answer


























              2












              2








              2







              After trying the above answers with no success (and a slew of other stack posts) what finally worked for me was just



              plt.gca().set_axis_off()
              plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
              hspace = 0, wspace = 0)
              plt.margins(0,0)
              plt.savefig("myfig.pdf")


              Importantly this does not include the bbox or padding arguments. For unclear reasons, when I had the bbox argument included in my savefig, my figure was shifted right and upwards off-center.






              share|improve this answer













              After trying the above answers with no success (and a slew of other stack posts) what finally worked for me was just



              plt.gca().set_axis_off()
              plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
              hspace = 0, wspace = 0)
              plt.margins(0,0)
              plt.savefig("myfig.pdf")


              Importantly this does not include the bbox or padding arguments. For unclear reasons, when I had the bbox argument included in my savefig, my figure was shifted right and upwards off-center.







              share|improve this answer












              share|improve this answer



              share|improve this answer










              answered Nov 15 '18 at 0:19









              SuaveSourisSuaveSouris

              461712




              461712























                  0














                  i followed this sequence and it worked like a charm.




                  plt.axis("off")



                  fig=plt.imshow(image array,interpolation='nearest')



                  fig.axes.get_xaxis().set_visible(False)



                  fig.axes.get_yaxis().set_visible(False)



                  plt.savefig('destination_path.pdf',bbox_inches='tight', pad_inches = 0, format='pdf', dpi=1200)







                  share|improve this answer




























                    0














                    i followed this sequence and it worked like a charm.




                    plt.axis("off")



                    fig=plt.imshow(image array,interpolation='nearest')



                    fig.axes.get_xaxis().set_visible(False)



                    fig.axes.get_yaxis().set_visible(False)



                    plt.savefig('destination_path.pdf',bbox_inches='tight', pad_inches = 0, format='pdf', dpi=1200)







                    share|improve this answer


























                      0












                      0








                      0







                      i followed this sequence and it worked like a charm.




                      plt.axis("off")



                      fig=plt.imshow(image array,interpolation='nearest')



                      fig.axes.get_xaxis().set_visible(False)



                      fig.axes.get_yaxis().set_visible(False)



                      plt.savefig('destination_path.pdf',bbox_inches='tight', pad_inches = 0, format='pdf', dpi=1200)







                      share|improve this answer













                      i followed this sequence and it worked like a charm.




                      plt.axis("off")



                      fig=plt.imshow(image array,interpolation='nearest')



                      fig.axes.get_xaxis().set_visible(False)



                      fig.axes.get_yaxis().set_visible(False)



                      plt.savefig('destination_path.pdf',bbox_inches='tight', pad_inches = 0, format='pdf', dpi=1200)








                      share|improve this answer












                      share|improve this answer



                      share|improve this answer










                      answered Nov 27 '18 at 13:06









                      KhanKhan

                      16215




                      16215























                          0














                          The following function incorporates johannes-s answer above. I have tested it with plt.figure and plt.subplots() with multiple axes, and it works nicely.



                          def save(filepath, fig=None):
                          '''Save the current image with no whitespace
                          Example filepath: "myfig.png" or r"C:myfig.pdf"
                          '''
                          import matplotlib.pyplot as plt
                          if not fig:
                          fig = plt.gcf()

                          plt.subplots_adjust(0,0,1,1,0,0)
                          for ax in fig.axes:
                          ax.axis('off')
                          ax.margins(0,0)
                          ax.xaxis.set_major_locator(plt.NullLocator())
                          ax.yaxis.set_major_locator(plt.NullLocator())
                          fig.savefig(filepath, pad_inches = 0, bbox_inches='tight')





                          share|improve this answer




























                            0














                            The following function incorporates johannes-s answer above. I have tested it with plt.figure and plt.subplots() with multiple axes, and it works nicely.



                            def save(filepath, fig=None):
                            '''Save the current image with no whitespace
                            Example filepath: "myfig.png" or r"C:myfig.pdf"
                            '''
                            import matplotlib.pyplot as plt
                            if not fig:
                            fig = plt.gcf()

                            plt.subplots_adjust(0,0,1,1,0,0)
                            for ax in fig.axes:
                            ax.axis('off')
                            ax.margins(0,0)
                            ax.xaxis.set_major_locator(plt.NullLocator())
                            ax.yaxis.set_major_locator(plt.NullLocator())
                            fig.savefig(filepath, pad_inches = 0, bbox_inches='tight')





                            share|improve this answer


























                              0












                              0








                              0







                              The following function incorporates johannes-s answer above. I have tested it with plt.figure and plt.subplots() with multiple axes, and it works nicely.



                              def save(filepath, fig=None):
                              '''Save the current image with no whitespace
                              Example filepath: "myfig.png" or r"C:myfig.pdf"
                              '''
                              import matplotlib.pyplot as plt
                              if not fig:
                              fig = plt.gcf()

                              plt.subplots_adjust(0,0,1,1,0,0)
                              for ax in fig.axes:
                              ax.axis('off')
                              ax.margins(0,0)
                              ax.xaxis.set_major_locator(plt.NullLocator())
                              ax.yaxis.set_major_locator(plt.NullLocator())
                              fig.savefig(filepath, pad_inches = 0, bbox_inches='tight')





                              share|improve this answer













                              The following function incorporates johannes-s answer above. I have tested it with plt.figure and plt.subplots() with multiple axes, and it works nicely.



                              def save(filepath, fig=None):
                              '''Save the current image with no whitespace
                              Example filepath: "myfig.png" or r"C:myfig.pdf"
                              '''
                              import matplotlib.pyplot as plt
                              if not fig:
                              fig = plt.gcf()

                              plt.subplots_adjust(0,0,1,1,0,0)
                              for ax in fig.axes:
                              ax.axis('off')
                              ax.margins(0,0)
                              ax.xaxis.set_major_locator(plt.NullLocator())
                              ax.yaxis.set_major_locator(plt.NullLocator())
                              fig.savefig(filepath, pad_inches = 0, bbox_inches='tight')






                              share|improve this answer












                              share|improve this answer



                              share|improve this answer










                              answered Nov 28 '18 at 9:23









                              TomNorwayTomNorway

                              18712




                              18712























                                  -2














                                  This works for me saving a numpy array plotted with imshow to file



                                  import matplotlib.pyplot as plt

                                  fig = plt.figure(figsize=(10,10))
                                  plt.imshow(img) # your image here
                                  plt.axis("off")
                                  plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
                                  hspace = 0, wspace = 0)
                                  plt.savefig("example2.png", box_inches='tight', dpi=100)
                                  plt.show()





                                  share|improve this answer




























                                    -2














                                    This works for me saving a numpy array plotted with imshow to file



                                    import matplotlib.pyplot as plt

                                    fig = plt.figure(figsize=(10,10))
                                    plt.imshow(img) # your image here
                                    plt.axis("off")
                                    plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
                                    hspace = 0, wspace = 0)
                                    plt.savefig("example2.png", box_inches='tight', dpi=100)
                                    plt.show()





                                    share|improve this answer


























                                      -2












                                      -2








                                      -2







                                      This works for me saving a numpy array plotted with imshow to file



                                      import matplotlib.pyplot as plt

                                      fig = plt.figure(figsize=(10,10))
                                      plt.imshow(img) # your image here
                                      plt.axis("off")
                                      plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
                                      hspace = 0, wspace = 0)
                                      plt.savefig("example2.png", box_inches='tight', dpi=100)
                                      plt.show()





                                      share|improve this answer













                                      This works for me saving a numpy array plotted with imshow to file



                                      import matplotlib.pyplot as plt

                                      fig = plt.figure(figsize=(10,10))
                                      plt.imshow(img) # your image here
                                      plt.axis("off")
                                      plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
                                      hspace = 0, wspace = 0)
                                      plt.savefig("example2.png", box_inches='tight', dpi=100)
                                      plt.show()






                                      share|improve this answer












                                      share|improve this answer



                                      share|improve this answer










                                      answered May 2 '18 at 1:52









                                      Alejandro SazoAlejandro Sazo

                                      4391020




                                      4391020






























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