How do you change the size of figures drawn with matplotlib

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How do you change the size of figure drawn with matplotlib

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If you ve already got the figure created you can quickly do this   fig   matplotlib pyplot gcf   fig set size inches 18 5  10 5  fig savefig  test2png png   dpi 100    To propagate the size change to an existing gui window add forward True  fig set size inches 18 5  10 5  forward True

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This works well for me   from matplotlib import pyplot as plt  F   plt gcf   Size   F get size inches   F set size inches Size 0  2  Size 1  2  forward True    Set forward to True to resize window along with plot in figure  plt show     or plt imshow z array  if using an animation  where z array is a matrix or numpy array   This might also help  http   matplotlib 1069221 n5 nabble com Resizing-figure-windows-td11424 html

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Deprecation note    As per the official Matplotlib guide  usage of the pylab module is no longer recommended  Please consider using the matplotlib pyplot module instead  as described by this other answer    The following seems to work   from pylab import rcParams rcParams  figure figsize     5  10   This makes the figure s width 5 inches  and its height 10 inches    The Figure class then uses this as the default value for one of its arguments

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USING  plt rcParams There is also this workaround in case you want to change the size without using the figure environment  So in case you are using plt plot   for example  you can set a tuple with width and height  import matplotlib pyplot as plt plt rcParams  quot figure figsize quot      20 3   This is very useful when you plot inline  e g  with IPython Notebook   As  asamaier noticed is preferable to not put this statement in the same cell of the imports statements  Conversion to cm The figsize tuple accepts inches so if you want to set it in centimetres you have to divide them by 2 54 have a look to this question

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To increase size of your figure N times you need to insert this just before your pl show     N   2 params   pl gcf   plSize   params get size inches   params set size inches   plSize 0  N  plSize 1  N      It also works well with ipython notebook

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Comparison of different approaches to set exact image sizes in pixels This answer will focus on   savefig setting the size in pixels  Here is a quick comparison of some of the approaches I ve tried with images showing what the give  Baseline example without trying to set the image dimensions Just to have a comparison point  base py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  fig  ax   plt subplots   print  fig dpi       format fig dpi   print  fig get size inches         str fig get size inches    t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig  base png   format  png    run    base py identify base png  outputs  fig dpi   100 0 fig get size inches      6 4 4 8  base png PNG 640x480 640x480 0 0 8-bit sRGB 13064B 0 000u 0 00 000   My best approach so far  plt savefig dpi h fig get size inches   1  height-only control I think this is what I ll go with most of the time  as it is simple and scales  get size py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  height   int sys argv 1   fig  ax   plt subplots   t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       get size png       format  png       dpi height fig get size inches   1     run    get size py 431  outputs  get size png PNG 574x431 574x431 0 0 8-bit sRGB 10058B 0 000u 0 00 000   and   get size py 1293  outputs  main png PNG 1724x1293 1724x1293 0 0 8-bit sRGB 46709B 0 000u 0 00 000   I tend to set just the height because I m usually most concerned about how much vertical space the image is going to take up in the middle of my text  plt savefig bbox inches  tight  changes image size I always feel that there is too much white space around images  and tended to add bbox inches  tight  from  Removing white space around a saved image in matplotlib However  that works by cropping the image  and you won t get the desired sizes with it  Instead  this other approach proposed in the same question seems to work well  plt tight layout pad 1  plt savefig      which gives the exact desired height for height equals 431   Fixed height  set aspect  automatically sized width and small margins Ermmm  set aspect messes things up again and prevents plt tight layout from actually removing the margins    Asked at  How to obtain a fixed height in pixels  fixed data x y aspect ratio and automatically remove remove horizontal whitespace margin in Matplotlib  plt savefig dpi h fig get size inches   1    width control If you really need a specific width in addition to height  this seems to work OK  width py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  h   int sys argv 1   w   int sys argv 2   fig  ax   plt subplots   wi  hi   fig get size inches   fig set size inches hi  w h   hi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       width png       format  png       dpi h hi    run    width py 431 869  output  width png PNG 869x431 869x431 0 0 8-bit sRGB 10965B 0 000u 0 00 000   and for a small width    width py 431 869  output  width png PNG 211x431 211x431 0 0 8-bit sRGB 6949B 0 000u 0 00 000   So it does seem that fonts are scaling correctly  we just get some trouble for very small widths with labels getting cut off  e g  the 100 on the top left  I managed to work around those with Removing white space around a saved image in matplotlib plt tight layout pad 1   which gives  width png PNG 211x431 211x431 0 0 8-bit sRGB 7134B 0 000u 0 00 000   From this  we also see that tight layout removes a lot of the empty space at the top of the image  so I just generally always use it  Fixed magic base height  dpi on fig set size inches and plt savefig dpi  scaling I believe that this is equivalent to the approach mentioned at  https   stackoverflow com a 13714720 895245 magic py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  magic height   300 w   int sys argv 1   h   int sys argv 2   dpi   80 fig  ax   plt subplots dpi dpi  fig set size inches magic height w  h dpi   magic height dpi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       magic png       format  png       dpi h magic height dpi     run    magic py 431 231  outputs  magic png PNG 431x231 431x231 0 0 8-bit sRGB 7923B 0 000u 0 00 000   And to see if it scales nicely    magic py 1291 693  outputs  magic png PNG 1291x693 1291x693 0 0 8-bit sRGB 25013B 0 000u 0 00 000   So we see that this approach also does work well  The only problem I have with it is that you have to set that magic height parameter or equivalent  Fixed DPI   set size inches This approach gave a slightly wrong pixel size  and it makes it is hard to scale everything seamlessly  set size inches py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  w   int sys argv 1   h   int sys argv 2   fig  ax   plt subplots   fig set size inches w fig dpi  h fig dpi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text      0      60        Hello         Keep font size fixed independently of DPI        https   stackoverflow com questions 39395616 matplotlib-change-figsize-but-keep-fontsize-constant     fontdict dict size 10 h fig dpi     plt savefig       set size inches png       format  png      run    set size inches py 431 231  outputs  set size inches png PNG 430x231 430x231 0 0 8-bit sRGB 8078B 0 000u 0 00 000  so the height is slightly off  and the image   The pixel sizes are also correct if I make it 3 times larger    set size inches py 1291 693  outputs  set size inches png PNG 1291x693 1291x693 0 0 8-bit sRGB 19798B 0 000u 0 00 000   We understand from this however that for this approach to scale nicely  you need to make every DPI-dependant setting proportional to the size in inches  In the previous example  we only made the  quot Hello quot  text proportional  and it did retain its height between 60 and 80 as we d expect  But everything for which we didn t do that  looks tiny  including   line width of axes tick labels point markers  SVG I could not find how to set it for SVG images  my approaches only worked for PNG e g   get size svg py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  height   int sys argv 1   fig  ax   plt subplots   t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       get size svg svg       format  svg       dpi height fig get size inches   1     run    get size svg py 431  and the generated output contains   lt svg height  quot 345 6pt quot  version  quot 1 1 quot  viewBox  quot 0 0 460 8 345 6 quot  width  quot 460 8pt quot   and identify says  get size svg svg SVG 614x461 614x461 0 0 8-bit sRGB 17094B 0 000u 0 00 000  and if I open it in Chromium 86 the browser debug tools mouse image hover confirm that height as 460 79  But of course  since SVG is a vector format  everything should in theory scale  so you can just convert to any fixed sized format without loss of resolution  e g   inkscape -h 431 get size svg svg -b FFF -e get size svg png  gives the exact height   I use Inkscape instead of Imagemagick s convert here because you need to mess with -density as well to get sharp SVG resizes with ImageMagick   https   superuser com questions 598849 imagemagick-convert-how-to-produce-sharp-resized-png-files-from-svg-files 1602059 1602059 How to convert a SVG to a PNG with ImageMagick   And setting  lt img height  quot  quot  on the HTML should also just work for the browser  Tested on matplotlib  3 2 2

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The first link in Google for  matplotlib figure size  is AdjustingImageSize  Google cache of the page    Here s a test script from the above page  It creates test 1-3  png files of different sizes of the same image      usr bin env python     This is a small demo file that helps teach how to adjust figure sizes for matplotlib       import matplotlib print  using MPL version    matplotlib   version   matplotlib use  WXAgg     do this before pylab so you don tget the default back end   import pylab import numpy as np    Generate and plot some simple data  x   np arange 0  2 np pi  0 1  y   np sin x   pylab plot x y  F   pylab gcf      Now check everything with the defaults  DPI   F get dpi   print  DPI    DPI DefaultSize   F get size inches   print  Default size in Inches   DefaultSize print  Which should result in a  i x  i Image   DPI DefaultSize 0   DPI DefaultSize 1     the default is 100dpi for savefig  F savefig  test1 png     this gives me a 797 x 566 pixel image  which is about 100 DPI    Now make the image twice as big  while keeping the fonts and all the   same size F set size inches   DefaultSize 0  2  DefaultSize 1  2    Size   F get size inches   print  Size in Inches   Size F savefig  test2 png     this results in a 1595x1132 image    Now make the image twice as big  making all the fonts and lines   bigger too   F set size inches  DefaultSize    resetthe size Size   F get size inches   print  Size in Inches   Size F savefig  test3 png   dpi    200     change the dpi   this also results in a 1595x1132 image  but the fonts are larger    Output   using MPL version  0 98 1 DPI  80 Default size in Inches   8   6   Which should result in a 640 x 480 Image Size in Inches   16   12   Size in Inches   16   12     Two notes    The module comments and the actual output differ  This answer allows easily to combine all three images in one image file to see the difference in sizes

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The first link in Google for  matplotlib figure size  is AdjustingImageSize  Google cache of the page    Here s a test script from the above page  It creates test 1-3  png files of different sizes of the same image      usr bin env python     This is a small demo file that helps teach how to adjust figure sizes for matplotlib       import matplotlib print  using MPL version    matplotlib   version   matplotlib use  WXAgg     do this before pylab so you don tget the default back end   import pylab import numpy as np    Generate and plot some simple data  x   np arange 0  2 np pi  0 1  y   np sin x   pylab plot x y  F   pylab gcf      Now check everything with the defaults  DPI   F get dpi   print  DPI    DPI DefaultSize   F get size inches   print  Default size in Inches   DefaultSize print  Which should result in a  i x  i Image   DPI DefaultSize 0   DPI DefaultSize 1     the default is 100dpi for savefig  F savefig  test1 png     this gives me a 797 x 566 pixel image  which is about 100 DPI    Now make the image twice as big  while keeping the fonts and all the   same size F set size inches   DefaultSize 0  2  DefaultSize 1  2    Size   F get size inches   print  Size in Inches   Size F savefig  test2 png     this results in a 1595x1132 image    Now make the image twice as big  making all the fonts and lines   bigger too   F set size inches  DefaultSize    resetthe size Size   F get size inches   print  Size in Inches   Size F savefig  test3 png   dpi    200     change the dpi   this also results in a 1595x1132 image  but the fonts are larger    Output   using MPL version  0 98 1 DPI  80 Default size in Inches   8   6   Which should result in a 640 x 480 Image Size in Inches   16   12   Size in Inches   16   12     Two notes    The module comments and the actual output differ  This answer allows easily to combine all three images in one image file to see the difference in sizes

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Since Matplotlib isn t able to use the metric system natively  if you want to specify the size of your figure in a reasonable unit of length such as centimeters  you can do the following  code from gns-ank    def cm2inch  tupl       inch   2 54     if isinstance tupl 0   tuple           return tuple i inch for i in tupl 0       else          return tuple i inch for i in tupl    Then you can use   plt figure figsize cm2inch 21  29 7

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Try commenting out the fig       line   matplotlib inline import numpy as np import matplotlib pyplot as plt  N   50 x   np random rand N  y   np random rand N  area   np pi    15   np random rand N    2  fig   plt figure figsize  18  18   plt scatter x  y  s area  alpha 0 5  plt show

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The first link in Google for  matplotlib figure size  is AdjustingImageSize  Google cache of the page    Here s a test script from the above page  It creates test 1-3  png files of different sizes of the same image      usr bin env python     This is a small demo file that helps teach how to adjust figure sizes for matplotlib       import matplotlib print  using MPL version    matplotlib   version   matplotlib use  WXAgg     do this before pylab so you don tget the default back end   import pylab import numpy as np    Generate and plot some simple data  x   np arange 0  2 np pi  0 1  y   np sin x   pylab plot x y  F   pylab gcf      Now check everything with the defaults  DPI   F get dpi   print  DPI    DPI DefaultSize   F get size inches   print  Default size in Inches   DefaultSize print  Which should result in a  i x  i Image   DPI DefaultSize 0   DPI DefaultSize 1     the default is 100dpi for savefig  F savefig  test1 png     this gives me a 797 x 566 pixel image  which is about 100 DPI    Now make the image twice as big  while keeping the fonts and all the   same size F set size inches   DefaultSize 0  2  DefaultSize 1  2    Size   F get size inches   print  Size in Inches   Size F savefig  test2 png     this results in a 1595x1132 image    Now make the image twice as big  making all the fonts and lines   bigger too   F set size inches  DefaultSize    resetthe size Size   F get size inches   print  Size in Inches   Size F savefig  test3 png   dpi    200     change the dpi   this also results in a 1595x1132 image  but the fonts are larger    Output   using MPL version  0 98 1 DPI  80 Default size in Inches   8   6   Which should result in a 640 x 480 Image Size in Inches   16   12   Size in Inches   16   12     Two notes    The module comments and the actual output differ  This answer allows easily to combine all three images in one image file to see the difference in sizes

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This resizes the figure immediately even after the figure has been drawn  at least using Qt4Agg TkAgg - but not MacOSX - with matplotlib 1 4 0    matplotlib pyplot get current fig manager   resize width px  height px

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figure tells you the call signature   from matplotlib pyplot import figure figure num None  figsize  8  6   dpi 80  facecolor  w   edgecolor  k     figure figsize  1 1   would create an inch-by-inch image  which would be 80-by-80 pixels unless you also give a different dpi argument

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figure tells you the call signature   from matplotlib pyplot import figure figure num None  figsize  8  6   dpi 80  facecolor  w   edgecolor  k     figure figsize  1 1   would create an inch-by-inch image  which would be 80-by-80 pixels unless you also give a different dpi argument

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Deprecation note    As per the official Matplotlib guide  usage of the pylab module is no longer recommended  Please consider using the matplotlib pyplot module instead  as described by this other answer    The following seems to work   from pylab import rcParams rcParams  figure figsize     5  10   This makes the figure s width 5 inches  and its height 10 inches    The Figure class then uses this as the default value for one of its arguments

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Generalizing and simplifying psihodelia s answer  If you want to change the current size of the figure by a factor sizefactor  import matplotlib pyplot as plt    here goes your code  fig size   plt gcf   get size inches    Get current size sizefactor   0 8  Set a zoom factor   Modify the current size by the factor plt gcf   set size inches sizefactor   fig size     After changing the current size  it might occur that you have to fine tune the subplot layout  You can do that in the figure window GUI  or by means of the command subplots adjust  For example   plt subplots adjust left 0 16  bottom 0 19  top 0 82

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I always use the following pattern  x inches   150  1 25 4         mm  constant y inches   x inches  0 8  dpi   96  fig   plt figure 1  figsize    x inches y inches   dpi   dpi  constrained layout   True   With this example you are able to set figure dimensions in inches or in milimiters and setting constrained layout to True plots fill your figure without borders

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Another option  to use the rc   function in matplotlib  the unit is inch   import matplotlib matplotlib rc  figure   figsize  10 5

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To increase size of your figure N times you need to insert this just before your pl show     N   2 params   pl gcf   plSize   params get size inches   params set size inches   plSize 0  N  plSize 1  N      It also works well with ipython notebook

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This works well for me   from matplotlib import pyplot as plt  F   plt gcf   Size   F get size inches   F set size inches Size 0  2  Size 1  2  forward True    Set forward to True to resize window along with plot in figure  plt show     or plt imshow z array  if using an animation  where z array is a matrix or numpy array   This might also help  http   matplotlib 1069221 n5 nabble com Resizing-figure-windows-td11424 html

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Generalizing and simplifying psihodelia s answer  If you want to change the current size of the figure by a factor sizefactor  import matplotlib pyplot as plt    here goes your code  fig size   plt gcf   get size inches    Get current size sizefactor   0 8  Set a zoom factor   Modify the current size by the factor plt gcf   set size inches sizefactor   fig size     After changing the current size  it might occur that you have to fine tune the subplot layout  You can do that in the figure window GUI  or by means of the command subplots adjust  For example   plt subplots adjust left 0 16  bottom 0 19  top 0 82

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Please try a simple code as following   from matplotlib import pyplot as plt plt figure figsize  1 1   x    1 2 3  plt plot x  x  plt show     You need to set the figure size before you plot

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You directly change the figure size by using  plt set figsize figure  10  10

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Another option  to use the rc   function in matplotlib  the unit is inch   import matplotlib matplotlib rc  figure   figsize  10 5

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Use this  plt figure figsize  width height    The width and height are in inches  If not provided  defaults to rcParams  quot figure figsize quot      6 4  4 8   See more here

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In case you re looking for a way to change the figure size in Pandas  you could do e g    df  some column   plot figsize  10  5     where df is a Pandas dataframe  Or  to use existing figure or axes  fig  ax   plt subplots figsize  10 5   df  some column   plot ax ax    If you want to change the default settings  you could do the following   import matplotlib  matplotlib rc  figure   figsize  10  5

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If you ve already got the figure created you can quickly do this   fig   matplotlib pyplot gcf   fig set size inches 18 5  10 5  fig savefig  test2png png   dpi 100    To propagate the size change to an existing gui window add forward True  fig set size inches 18 5  10 5  forward True

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In case you re looking for a way to change the figure size in Pandas  you could do e g    df  some column   plot figsize  10  5     where df is a Pandas dataframe  Or  to use existing figure or axes  fig  ax   plt subplots figsize  10 5   df  some column   plot ax ax    If you want to change the default settings  you could do the following   import matplotlib  matplotlib rc  figure   figsize  10  5

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Please try a simple code as following   from matplotlib import pyplot as plt plt figure figsize  1 1   x    1 2 3  plt plot x  x  plt show     You need to set the figure size before you plot

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Deprecation note    As per the official Matplotlib guide  usage of the pylab module is no longer recommended  Please consider using the matplotlib pyplot module instead  as described by this other answer    The following seems to work   from pylab import rcParams rcParams  figure figsize     5  10   This makes the figure s width 5 inches  and its height 10 inches    The Figure class then uses this as the default value for one of its arguments

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This resizes the figure immediately even after the figure has been drawn  at least using Qt4Agg TkAgg - but not MacOSX - with matplotlib 1 4 0    matplotlib pyplot get current fig manager   resize width px  height px

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Use this  plt figure figsize  width height    The width and height are in inches  If not provided  defaults to rcParams  quot figure figsize quot      6 4  4 8   See more here

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import matplotlib pyplot as plt plt figure figsize  20 10   plt plot x y     This is your plot plt show     You can also use   fig  ax   plt subplots figsize  20  10

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You can simply use  from matplotlib figure Figure    fig set size inches width height    As of Matplotlib 2 0 0  changes to your canvas will be visible immediately  as the forward keyword defaults to True   If you want to just change the width or height instead of both  you can use   fig set figwidth val  or fig set figheight val   These will also immediately update your canvas  but only in Matplotlib 2 2 0 and newer   For Older Versions  You need to specify forward True explicitly in order to live-update your canvas in versions older than what is specified above  Note that the set figwidth and set figheight functions don   t support the forward parameter in versions older than Matplotlib 1 5 0

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I always use the following pattern  x inches   150  1 25 4         mm  constant y inches   x inches  0 8  dpi   96  fig   plt figure 1  figsize    x inches y inches   dpi   dpi  constrained layout   True   With this example you are able to set figure dimensions in inches or in milimiters and setting constrained layout to True plots fill your figure without borders

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Since Matplotlib isn t able to use the metric system natively  if you want to specify the size of your figure in a reasonable unit of length such as centimeters  you can do the following  code from gns-ank    def cm2inch  tupl       inch   2 54     if isinstance tupl 0   tuple           return tuple i inch for i in tupl 0       else          return tuple i inch for i in tupl    Then you can use   plt figure figsize cm2inch 21  29 7

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The first link in Google for  matplotlib figure size  is AdjustingImageSize  Google cache of the page    Here s a test script from the above page  It creates test 1-3  png files of different sizes of the same image      usr bin env python     This is a small demo file that helps teach how to adjust figure sizes for matplotlib       import matplotlib print  using MPL version    matplotlib   version   matplotlib use  WXAgg     do this before pylab so you don tget the default back end   import pylab import numpy as np    Generate and plot some simple data  x   np arange 0  2 np pi  0 1  y   np sin x   pylab plot x y  F   pylab gcf      Now check everything with the defaults  DPI   F get dpi   print  DPI    DPI DefaultSize   F get size inches   print  Default size in Inches   DefaultSize print  Which should result in a  i x  i Image   DPI DefaultSize 0   DPI DefaultSize 1     the default is 100dpi for savefig  F savefig  test1 png     this gives me a 797 x 566 pixel image  which is about 100 DPI    Now make the image twice as big  while keeping the fonts and all the   same size F set size inches   DefaultSize 0  2  DefaultSize 1  2    Size   F get size inches   print  Size in Inches   Size F savefig  test2 png     this results in a 1595x1132 image    Now make the image twice as big  making all the fonts and lines   bigger too   F set size inches  DefaultSize    resetthe size Size   F get size inches   print  Size in Inches   Size F savefig  test3 png   dpi    200     change the dpi   this also results in a 1595x1132 image  but the fonts are larger    Output   using MPL version  0 98 1 DPI  80 Default size in Inches   8   6   Which should result in a 640 x 480 Image Size in Inches   16   12   Size in Inches   16   12     Two notes    The module comments and the actual output differ  This answer allows easily to combine all three images in one image file to see the difference in sizes

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Try commenting out the fig       line   matplotlib inline import numpy as np import matplotlib pyplot as plt  N   50 x   np random rand N  y   np random rand N  area   np pi    15   np random rand N    2  fig   plt figure figsize  18  18   plt scatter x  y  s area  alpha 0 5  plt show

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You directly change the figure size by using  plt set figsize figure  10  10

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Comparison of different approaches to set exact image sizes in pixels This answer will focus on   savefig setting the size in pixels  Here is a quick comparison of some of the approaches I ve tried with images showing what the give  Baseline example without trying to set the image dimensions Just to have a comparison point  base py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  fig  ax   plt subplots   print  fig dpi       format fig dpi   print  fig get size inches         str fig get size inches    t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig  base png   format  png    run    base py identify base png  outputs  fig dpi   100 0 fig get size inches      6 4 4 8  base png PNG 640x480 640x480 0 0 8-bit sRGB 13064B 0 000u 0 00 000   My best approach so far  plt savefig dpi h fig get size inches   1  height-only control I think this is what I ll go with most of the time  as it is simple and scales  get size py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  height   int sys argv 1   fig  ax   plt subplots   t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       get size png       format  png       dpi height fig get size inches   1     run    get size py 431  outputs  get size png PNG 574x431 574x431 0 0 8-bit sRGB 10058B 0 000u 0 00 000   and   get size py 1293  outputs  main png PNG 1724x1293 1724x1293 0 0 8-bit sRGB 46709B 0 000u 0 00 000   I tend to set just the height because I m usually most concerned about how much vertical space the image is going to take up in the middle of my text  plt savefig bbox inches  tight  changes image size I always feel that there is too much white space around images  and tended to add bbox inches  tight  from  Removing white space around a saved image in matplotlib However  that works by cropping the image  and you won t get the desired sizes with it  Instead  this other approach proposed in the same question seems to work well  plt tight layout pad 1  plt savefig      which gives the exact desired height for height equals 431   Fixed height  set aspect  automatically sized width and small margins Ermmm  set aspect messes things up again and prevents plt tight layout from actually removing the margins    Asked at  How to obtain a fixed height in pixels  fixed data x y aspect ratio and automatically remove remove horizontal whitespace margin in Matplotlib  plt savefig dpi h fig get size inches   1    width control If you really need a specific width in addition to height  this seems to work OK  width py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  h   int sys argv 1   w   int sys argv 2   fig  ax   plt subplots   wi  hi   fig get size inches   fig set size inches hi  w h   hi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       width png       format  png       dpi h hi    run    width py 431 869  output  width png PNG 869x431 869x431 0 0 8-bit sRGB 10965B 0 000u 0 00 000   and for a small width    width py 431 869  output  width png PNG 211x431 211x431 0 0 8-bit sRGB 6949B 0 000u 0 00 000   So it does seem that fonts are scaling correctly  we just get some trouble for very small widths with labels getting cut off  e g  the 100 on the top left  I managed to work around those with Removing white space around a saved image in matplotlib plt tight layout pad 1   which gives  width png PNG 211x431 211x431 0 0 8-bit sRGB 7134B 0 000u 0 00 000   From this  we also see that tight layout removes a lot of the empty space at the top of the image  so I just generally always use it  Fixed magic base height  dpi on fig set size inches and plt savefig dpi  scaling I believe that this is equivalent to the approach mentioned at  https   stackoverflow com a 13714720 895245 magic py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  magic height   300 w   int sys argv 1   h   int sys argv 2   dpi   80 fig  ax   plt subplots dpi dpi  fig set size inches magic height w  h dpi   magic height dpi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       magic png       format  png       dpi h magic height dpi     run    magic py 431 231  outputs  magic png PNG 431x231 431x231 0 0 8-bit sRGB 7923B 0 000u 0 00 000   And to see if it scales nicely    magic py 1291 693  outputs  magic png PNG 1291x693 1291x693 0 0 8-bit sRGB 25013B 0 000u 0 00 000   So we see that this approach also does work well  The only problem I have with it is that you have to set that magic height parameter or equivalent  Fixed DPI   set size inches This approach gave a slightly wrong pixel size  and it makes it is hard to scale everything seamlessly  set size inches py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  w   int sys argv 1   h   int sys argv 2   fig  ax   plt subplots   fig set size inches w fig dpi  h fig dpi  t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text      0      60        Hello         Keep font size fixed independently of DPI        https   stackoverflow com questions 39395616 matplotlib-change-figsize-but-keep-fontsize-constant     fontdict dict size 10 h fig dpi     plt savefig       set size inches png       format  png      run    set size inches py 431 231  outputs  set size inches png PNG 430x231 430x231 0 0 8-bit sRGB 8078B 0 000u 0 00 000  so the height is slightly off  and the image   The pixel sizes are also correct if I make it 3 times larger    set size inches py 1291 693  outputs  set size inches png PNG 1291x693 1291x693 0 0 8-bit sRGB 19798B 0 000u 0 00 000   We understand from this however that for this approach to scale nicely  you need to make every DPI-dependant setting proportional to the size in inches  In the previous example  we only made the  quot Hello quot  text proportional  and it did retain its height between 60 and 80 as we d expect  But everything for which we didn t do that  looks tiny  including   line width of axes tick labels point markers  SVG I could not find how to set it for SVG images  my approaches only worked for PNG e g   get size svg py    usr bin env python3  import sys  import numpy as np import matplotlib pyplot as plt import matplotlib as mpl  height   int sys argv 1   fig  ax   plt subplots   t   np arange -10   10   1   plt plot t  t       plt plot t  t  2       ax text 0   60    Hello   fontdict dict size 25   plt savefig       get size svg svg       format  svg       dpi height fig get size inches   1     run    get size svg py 431  and the generated output contains   lt svg height  quot 345 6pt quot  version  quot 1 1 quot  viewBox  quot 0 0 460 8 345 6 quot  width  quot 460 8pt quot   and identify says  get size svg svg SVG 614x461 614x461 0 0 8-bit sRGB 17094B 0 000u 0 00 000  and if I open it in Chromium 86 the browser debug tools mouse image hover confirm that height as 460 79  But of course  since SVG is a vector format  everything should in theory scale  so you can just convert to any fixed sized format without loss of resolution  e g   inkscape -h 431 get size svg svg -b FFF -e get size svg png  gives the exact height   I use Inkscape instead of Imagemagick s convert here because you need to mess with -density as well to get sharp SVG resizes with ImageMagick   https   superuser com questions 598849 imagemagick-convert-how-to-produce-sharp-resized-png-files-from-svg-files 1602059 1602059 How to convert a SVG to a PNG with ImageMagick   And setting  lt img height  quot  quot  on the HTML should also just work for the browser  Tested on matplotlib  3 2 2

User · Answer

import matplotlib pyplot as plt plt figure figsize  20 10   plt plot x y     This is your plot plt show     You can also use   fig  ax   plt subplots figsize  20  10

User · Answer

You can simply use  from matplotlib figure Figure    fig set size inches width height    As of Matplotlib 2 0 0  changes to your canvas will be visible immediately  as the forward keyword defaults to True   If you want to just change the width or height instead of both  you can use   fig set figwidth val  or fig set figheight val   These will also immediately update your canvas  but only in Matplotlib 2 2 0 and newer   For Older Versions  You need to specify forward True explicitly in order to live-update your canvas in versions older than what is specified above  Note that the set figwidth and set figheight functions don   t support the forward parameter in versions older than Matplotlib 1 5 0

User · Answer

Deprecation note    As per the official Matplotlib guide  usage of the pylab module is no longer recommended  Please consider using the matplotlib pyplot module instead  as described by this other answer    The following seems to work   from pylab import rcParams rcParams  figure figsize     5  10   This makes the figure s width 5 inches  and its height 10 inches    The Figure class then uses this as the default value for one of its arguments

User · Answer

USING  plt rcParams There is also this workaround in case you want to change the size without using the figure environment  So in case you are using plt plot   for example  you can set a tuple with width and height  import matplotlib pyplot as plt plt rcParams  quot figure figsize quot      20 3   This is very useful when you plot inline  e g  with IPython Notebook   As  asamaier noticed is preferable to not put this statement in the same cell of the imports statements  Conversion to cm The figsize tuple accepts inches so if you want to set it in centimetres you have to divide them by 2 54 have a look to this question

[python] How do you change the size of figures drawn with matplotlib?

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