I thought setting rcParams is the recommended route? plot (range (10), label = 'A simple plot') ax. I import matplotlib and then set the rcParams by mpl.rcParams.update( {'figure.figsize': (15, 9.3)}).When I attempt to plot the window, its size is plotted instead as [10.35, 9.3] and not what I originally specified. Customizing Matplotlib with style sheets and rcParams ... the first ## working backend from the following list is used: ## MacOSX Qt5Agg Qt4Agg Gtk3Agg TkAgg WxAgg Agg ## ## Other choices include: ## Qt5Cairo Qt4Cairo GTK3Cairo TkCairo WxCairo Cairo Wx PS PDF SVG Template. Matplotlib figsize not working Error; How to set the figure size in pixels; Must Read: Conclusion ; Syntax of Matplotlib Figsize. Hence the problem does not lie with Matplotlib, but with Ubuntu. eval(ez_write_tag([[250,250],'pythonpool_com-leader-2','ezslot_8',123,'0','0'])); We can also set the figure size of the graph or chart according to the monitor, we can use dpi of our monitor to do so. @QuLogic Not sure if I understand this restriction. Note that the size is defined in inches, not pixels. I have tried this inside and outside a virtual environment, and also tried Matplotlib versions 2.2 with python 3.5, and still it persists, and with all the backends I can muster (including Qt5Agg). The following are 30 code examples for showing how to use matplotlib.rcParams().These examples are extracted from open source projects. To make a plot or a graph using matplotlib, we first have to install it in our system using pip install matplotlib. Matplotlib version 2.1.0. Ideally I could imagine something like plt.show(force_figsize=True). What is the output of which python? figure (figsize = (16, 12)) #Create 16 empty plots … That's correct, changing the larger screen to the primary display did resolve this. Operating system: Mac OS X version 10.12.6; Matplotlib version: 2.2.2; Matplotlib backend (print(matplotlib.get_backend())): 'module://ipykernel.pylab.backend_inline' So anything you can add concerning the configuration in use may help here. I have updated my answer on Stack Overflow, but to summarise: As explained in the accepted answer, the issue is that I am using more than one display, and Matplotlib cannot produce a window that is larger than the primary display. In this article, we will help you manage the size of the plots as you like. Comments. matplotlib.pyplot.figure¶ matplotlib.pyplot.figure (num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] ¶ Create a new figure. Something like this-. Working With Matplotlib Text in Python. I have also tried editing the rcParams file but to no benefit. Explained with examples, Matplotlib pcolormesh in Python with Examples, Exciting FizzBuzz Challenge in Python With Solution. The following are 30 code examples for showing how to use matplotlib.pyplot.figure().These examples are extracted from open source projects. Set a default figsize in matplotlib using rcParams. fig, ax = plt. I have tried your method but still not work. The following demonstrates this (This must be run in stages, see current output section): The initial plot size is [10.35, 9.3] and after it is [15, 9.3] as desired. As an example, the following creates a Qt Application with a figure size much larger than (my) screen. If you do not want to use inline plotting, just use %matplotlib instead of %matplotlib inline. By clicking “Sign up for GitHub”, you agree to our terms of service and The Kernel has to be restarted for this change to become effective. We’ll occasionally send you account related emails. Have a question about this project? As an extension to the suggestion by @ImportanceOfBeingErnest , perhaps a setting in the rcParams to state that the user is aware that they are asking for a larger plotting window than be displayed on screen. Not working for me I'm afraid: still end up with a ~40 Kb png file of 800 x 600 resolution. Matplotlib is a tremendously sophisticated library and people spend years mastering it to their fullest extent. So, the syntax is something like this-. But the following issues can cause some challenges: The library itself is huge, at something like 70,000 total lines of code. I suspect the 15" monitor is the primary one in this setup. Summary. Just changing the size of the graph has made such a huge impact and now we can understand the graph a lot better. The limit on window size is imposed by the window manager, so there's really nothing that Matplotlib can do to make it bigger. If however I make the default very much large or smaller, e.g. Let us see how we will do that.eval(ez_write_tag([[250,250],'pythonpool_com-large-leaderboard-2','ezslot_9',121,'0','0'])); Isn’t it a lot better now? – Rutger Kassies Sep 1 '20 at 8:37 | show 3 more comments. So let's see how to do this in matplotlib with Python. We’re (optionally) utilizing Python virtual environments via virtualenv and virtualenvwrapper. Comments. This happens when we first plot the graph and then set the figsize. to your account, Original plotting window does not initially respect rcParams value. We want to make a bar chart from it, let us first make a graph with the default size. One interesting remaining question though is why does this affect not still occur when I set the size to be 30x20? I have found the following issue 2716 which I think could be related, but there don't appear any fixes suitable for the rcParam settings route. show However, sometimes this is not desired (quite often when using fig.savefig('outname.png', bbox_inches='tight')). Sign in Code sample, a copy-pastable example if possible . We can do this with matplotlib using the figsize attribute. Additional plotting features, such as circles, lines, text, or even indicator arrows can be added using matplotlib with little …