11/18/2023 0 Comments Pyplot subplot ylabel![]() ![]() > Open Source Business Conference (OSBC), March 24-25, 2009, > Is this available in ml or am I too blind to see this feature? > the y-axes just to replace them with one bigger text > into the canvas in matplotlib? (Let say instead of having six > I have six subplots in my canvas, and wondering how to place On Mon, at 12:15 PM, Gökhan SEVER > wrote: I don't know if there is a betteer way to do it, but I think you can On Tue, at 6:01 PM, Jonathan Taylor > wrote: With these improvements I am finishing my first official poster. So far, my best approach is use some GIMP tricks on transparent canvas. Plt.setp(ax.get_yticklabels(), visible=False) # Make one axis that spans several subplots I'm pasting the source again in case I fumbled the last attempt: ![]() I'd be curious to see how you do it if you get it working Like I said, I've been meaning to clean up my subplots too I just haven't had time to do it. It's pretty rough, but I thought it might give you an idea or two. Well, I'm using matplotlib 0.98.5.2, I'm not sure if that makes a difference or not. I tried your method but didn't work for me I don't know how to do this in matplotlib. Receive a $600 discount off the registration fee with the source code: SFAD Strategies to boost innovation and cut costs with open source participation OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA Is this available in ml or am I too blind to see this feature? The y-axes just to replace them with one bigger text encompassing all six Into the canvas in matplotlib? (Let say instead of having six same text on I have six subplots in my canvas, and wondering how to place a common ylabel Just attach a text artist to the figures canvas. ![]() I don’t know if there is a betteer way to do it, but I think you can On Tue, at 6:01 PM, Jonathan Taylor wrote: I tried your method but didn’t work for meįar, my best approach is use some GIMP tricks on transparent canvas. I don’t know how to do this in matplotlib. plot ( x, x + 15, color = "purple", lw = 1, ls = '-', marker = 'o', markersize = 8, markerfacecolor = "red" ) ax. plot ( x, x + 14, color = "purple", lw = 1, ls = '-', marker = 'o', markersize = 4 ) ax. plot ( x, x + 13, color = "purple", lw = 1, ls = '-', marker = 'o', markersize = 2 ) ax. ![]() plot ( x, x + 12, color = "green", lw = 2, ls = '-', marker = '1' ) # marker size and color ax. set_dashes () # format: line length, space length. plot ( x, x + 8, color = "black", lw = 1.50 ) line. plot ( x, x + 7, color = "red", lw = 2, ls = ':' ) # custom dash line, = ax. plot ( x, x + 5, color = "red", lw = 2, linestyle = '-' ) ax. plot ( x, x + 3, color = "blue", linewidth = 1.00 ) ax. plot ( x, x + 2, color = "blue", linewidth = 0.50 ) ax. plot ( x, x + 1, color = "blue", linewidth = 0.25 ) ax. ![]()
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