How to remove frame from matplotlib pyplot figure vs matplotlib figure frameon False Problematic in matplotlib

Question

To remove frame in figure  I write   frameon False   works perfect with pyplot figure  but with matplotlib Figure it only removes the gray background  the frame stays   Also  I only want the lines to show  and all the rest of figure be transparent   with pyplot I can do what I want  I want to do it with matplotlib for some long reason I  d rather not mention to extend my question

User · Answer

The easiest way to get rid of the the ugly frame in newer versions of matplotlib:

import matplotlib.pyplot as plt
plt.box(False)

If you really must always use the object oriented approach, then do: ax.set_frame_on(False).

User · Answer

plt axis  off   plt savefig file path  bbox inches  tight   pad inches   0    plt savefig has those options in itself  just need to set axes off before

User · Answer

df   pd DataFrame    client scripting ms    client scripting ms    apimlayer    apimlayer   server    server    index   index   ax   df plot kind    barh         stacked   True       title    Chart        width   0 20        align  center         figsize  7 5    plt legend loc  upper right   frameon True   ax spines  right   set visible False  ax spines  top   set visible False   ax yaxis set ticks position  left   ax xaxis set ticks position  right

User · Answer

First off  if you re using savefig  be aware that it will override the figure s background color when saving unless you specify otherwise  e g  fig savefig  blah png   transparent True     However  to remove the axes  and figure s background on-screen  you ll need to set both ax patch and fig patch to be invisible     E g   import matplotlib pyplot as plt  fig  ax   plt subplots   ax plot range 10    for item in  fig  ax       item patch set visible False   with open  test png    w   as outfile      fig canvas print png outfile       Of course  you can t tell the difference on SO s white background  but everything is transparent      If you don t want to show anything other than the line  turn the axis off as well using ax axis  off     import matplotlib pyplot as plt  fig  ax   plt subplots   ax plot range 10    fig patch set visible False  ax axis  off    with open  test png    w   as outfile      fig canvas print png outfile      In that case  though  you may want to make the axes take up the full figure   If you manually specify the location of the axes  you can tell it to take up the full figure  alternately  you can use subplots adjust  but this is simpler for the case of a single axes     import matplotlib pyplot as plt  fig   plt figure frameon False  ax   fig add axes  0  0  1  1   ax axis  off    ax plot range 10    with open  test png    w   as outfile      fig canvas print png outfile

User · Answer

Building up on  peeol s excellent answer  you can also remove the frame by doing  for spine in plt gca   spines values        spine set visible False    To give an example  the entire code sample can be found at the end of this post   let s say you have a bar plot like this      you can remove the frame with the commands above and then either keep the x- and ytick labels  plot not shown  or remove them as well doing  plt tick params top  off   bottom  off   left  off   right  off   labelleft  off   labelbottom  on     In this case  one can then label the bars directly  the final plot could look like this  code can be found below      Here is the entire code that is necessary to generate the plots   import matplotlib pyplot as plt import numpy as np  plt figure    xvals   list  ABCDE   yvals   np array range 1  6    position   np arange len xvals    mybars   plt bar position  yvals  align  center   linewidth 0  plt xticks position  xvals   plt title  My great data     plt show      get rid of the frame for spine in plt gca   spines values        spine set visible False     plt show     remove all the ticks and directly label each bar with respective value plt tick params top  off   bottom  off   left  off   right  off   labelleft  off   labelbottom  on      plt show      direct label each bar with Y axis values for bari in mybars      height   bari get height       plt gca   text bari get x     bari get width   2  bari get height  -0 2  str int height                     ha  center   color  white   fontsize 15  plt show

User · Answer

As I answered here  you can remove spines from all your plots through style settings  style sheet or rcParams    import matplotlib as mpl  mpl rcParams  axes spines left     False mpl rcParams  axes spines right     False mpl rcParams  axes spines top     False mpl rcParams  axes spines bottom     False

User · Answer

ax axis  off    will as Joe Kington pointed out  remove everything except the plotted line   For those wanting to only remove the frame  border   and keep labels  tickers etc  one can do that by accessing the spines object on the axis  Given an axis object ax  the following should remove borders on all four sides   ax spines  top   set visible False  ax spines  right   set visible False  ax spines  bottom   set visible False  ax spines  left   set visible False    And  in case of removing x and y ticks from the plot     ax get xaxis   set ticks      ax get yaxis   set ticks

User · Answer

plt box False  plt xticks     plt yticks     plt savefig  fig png     should do the trick

User · Answer

I use to do so   from pylab import   axes frameon   0      show

User · Answer

Problem  I had a similar problem using axes   The class parameter is frameon but the kwarg is frame on   axes api  gt  gt  gt  plt gca   set frameon False  AttributeError  Unknown property frameon  Solution  frame on  Example  data   range 100  import matplotlib pyplot as plt fig  ax   plt subplots   ax plot data   ax set frameon False     Old ax set frame on False     New plt show

User · Answer

To remove the frame of the chart  for spine in plt gca   spines values      spine set visible False    I hope this could work

[python] How to remove frame from matplotlib (pyplot.figure vs matplotlib.figure ) (frameon=False Problematic in matplotlib)

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