6/11/2023 0 Comments Python subplot example![]() A given figure can contain many Axes, but a given Axes object can only be in one Figure. This is what you think of as a plot, it is the region of the image with the data space (marked as the inner blue box). In the context of matplotlib, axes is not the plural form of axis, it actually denotes the plotting area, including all axis. Question 2: Difference between “axes” and “axis” in matplotlib? This window will be just divided in 4 parts with my example.įigure2, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) This plot 4 figures which are named ax1, ax2, ax3 and ax4 each one but on the same window. Or you can plot multiple figures like this: fig1, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) Plot one or several figure(s) in the same window If you just want to get one graphic, you can use this way. Plot just one figure with (x,y) coordinates plt.plot(x, y) fig1, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)Īfter reading through a bunch of stackoverflow explainations, I compiled them here: Question 1: What is the difference between drawing plots using plot, axes or figure in matplotlib? ![]() We're going to continue forward using the subplot2grid, applying it to our code that we've been slowly building up to this point, which we'll continue with in the next tutorial.When working with python libraries, especially for visualization, I usually get confused my number of options available for plotting. Obviously we have some overlapping issues here, which we can handle with the subplot adjusting.Īgain, try envisioning various configurations of subplots and make them happen with subplot2grid until you feel comfortable! This is how many rows and columns the axis will span. Next, we can optionally specify a rowspan and colspan. For ax1, this is 0,0, so it will start at the top. The next tuple is the starting point of the top left corner. We do (6,1), which means 6 tall and 1 wide. So, subplot2grid works by passing first a tuple, which is the grid shape. So, add_subplot doesn't give us the option to make a plot cover multiple positions. Next, let's cover the other method, which is subplot2grid. Try to think of some configurations that you think could be interesting, then try to create them with add_subplot until you feel comfortable. If you're having trouble visualizing this, see the video, as we also explain this works in paint, which should help if you're confused. Finally, 212 is a 2 tall, 1 wide, plot number 1. ![]() 222 is 2 tall, 2 wide, and plot number 2. So, a 221 means 2 tall, 2 wide, plot number 1. The way that this works is with 3 numbers, which are: height, width, plot number. ![]() Now, we're going to start with the add_subplot method of creating subplots: ax1 = fig.add_subplot(221) If you're following along linearly, then make sure to keep the old code on hand, or you can always revisit the previous tutorial for the code again.įirst, let's create our figure, use a style, create our figure, and then create a function that randomly creates example plots: import random For now, we'll start with a clean slate of code. ![]() There are two major ways to handle for subplots, which are used to create multiple charts on the same figure. In this Matplotlib tutorial, we're going to be discussion subplots. ![]()
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