9/12/2023 0 Comments Adjust subplot size matplotlib![]() ![]() In this post, I outline two different methods for plotting subplots in a single loop which I find myself using on a regular basis. While this gives you a lot of flexibility it can be overwhelming and difficult to understand the best way to do things, particularly when starting out or learning new functionality. One strength, but also arguably one of Matplotlib’s biggest weaknesses, is its flexibility which allows you to accomplish the same task in many different ways. So what can we do in this situation? We have a list of items we want to plot and we have a list of lists with our subplots, is there a way to conveniently plot our data in a single for loop? This is because, when creating the subplot grid using plt.subplots, you are returned list of lists containing the subplot objects, rather than a single list containing of subplot objects which you can iterate through in a single for loop (see below): However, when using Matplotlib’s plotting API it is not straightforward to just create a grid of subplots and directly iterate through them in conjunction with your list of plotting attributes. total order value by day) on a grid of individual subplots. a list of customer IDs) and sequentially plot their values (e.g. In an ideal world, you would like to be able to iterate this list of items (e.g. For example, when you have a list of attributes or cross-sections of the data which you want investigate further by plotting on separate plots. When carrying out exploratory data analysis (EDA), I repeatedly find myself Googling how to plot subplots in Matplotlib using a single for loop. other options for subplots using Pandas inbuilt methods and Seabornįor this post are available in this Github repository Problem Statement #.how to dynamically adjust the subplot grid layout.two different methods for populating Matplotlib subplots.# string and set the positioning to 'figure fraction'.įig.get_axes().annotate('Long Suptitle', (0.5, 0.Trouble getting to grips with the Matplotlib subplots API? This post will go through: ![]() # Instead, do a hack by annotating the first axes with the desired ![]() # fig.suptitle('Long Suptitle', fontsize=24) Simpler solution (though may need to be fine-tuned) fig = plt.figure(2)Īx1.set_title('Very Long Title 1', fontsize=20)Īx2.set_title('Very Long Title 2', fontsize=20) Note that this second solution does not use tight_layout(). You may need to make some finer adjustments once you take a look at the output, though. A simple hack is to just use annotate() and lock the coordinates to the 'figure fraction' to imitate a suptitle. Maybe GridSpec is a bit overkill for you, or your real problem will involve many more subplots on a much larger canvas, or other complications. For your problem, the code becomes:Īx_list = Īx_t_title('Very Long Title 1', fontsize=20)Īx_t_title('Very Long Title 2', fontsize=20)įig.suptitle('Long Suptitle', fontsize=24) The key is to leave some space at the top of the figure when calling tight_layout, using the rect kwarg. If you read the thread, there is a solution to your problem involving GridSpec. There is an open issue about this on GitHub. The reason tight_layout() doesn't help in this case is because tight_layout() does not take fig.suptitle() into account. Usually tight_layout() does a pretty good job at positioning everything in good locations so that they don't overlap. Some alternatives to using fig.subplots_adjust(top=0.85): However, I am going to assume that you don't just want to do that! One thing you could change in your code very easily is the fontsize you are using for the titles. ![]()
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