My setup: Debian Linux 8.3 amd64, XMonad WM, python2.7, matplotlib 1.5.1 Problem: I'm making a plot, for example: import matplotlib.pyplot as plt x = xrange(10) y1 = [i ** 2 for i in x] y2 = [1.0 / (i + 1) for i in x] fig = plt.figure() ax1 = plt.subplot(1, 2, 1) ax1.plot(x, y1) ax2 = plt.subplot(1, 2, 2) ax2.plot(x, y2) plt.show() and since I'm using tiling window manager, the matplotlib's window gets stretched to a tile. Unfortunately this makes the graphs small and layout somewhat loose. If I want to "tighten" it a litte bit, clicking "Configure subplots->Tight Layout" does the job. But this means I have to click on the icon and then on the button every time and since I use this plot to display testing data and run it very often, it's quite annoying. So I tried a few things to make this easier: What have I tried: calling plt.tight_layout() before show(): ... ax2.plot(x, y2) plt.tight_layout() plt.show() adding keypress handler (so I would just press "t"): ... ax2.plot(x, y2) def kbd_handler(event): if event.key == 't': plt.tight_layout() plt.gcf().canvas.mpl_connect('key_press_event', kbd_handler) plt.show() calling tight_layout on figure: ax2.plot(x, y2) fig.tight_layout() plt.show() It all changed nothing or at least it looked the same for 2 subplots in one row, however for more than one row, it made the layout even more loose and all subplots extremely small. What I suspect: I believe the problem is related to resize which probably happens after the window is created, so the tighten_layout works with original window dimensions. When the Window Manager resizes the window, the layout keeps the subplot sizes and I have a "loose" layout with miniature graphs.. The question Is there a way to automaticaly (or very easily - like using a key_press_event) tighten the layout even when the window gets resized immediately after calling plt.show()? Continue reading...
