![]() ![]() Line 7-10: Index the ax array to plot different subplots on the figure fig. ![]() Line 5: Generate some data using numpy.Line 4: Generate a figure with 2 rows and 2 columns of subplots.Line 1-2: Import matplotlib.pyplot for plotting and numpy for generating data to plot.Here is an example on how to use the method: ax: A single object of the axes.Axes object if there is only one plot, or an array of axes.Axes objects if there are multiple plots, as specified by the nrows and ncols.fig: The object to be used as a container for all the subplots.Here is an explanation of the tuple returned by the function: **fig_kw: Any additional keyword arguments to be passed to pyplot.figure call. To create empty polar or geographic axes in a subplot position, specify ax as the polaraxes or geoaxes function.gridspec_kw: Dict of grid specifications passed to GridSpec constructor to place grids on each subplot.subplot_kw: Dict of keywords to be passed to the add_subplot call to add keywords to each subplot.squeeze: Boolean value specifying whether to squeeze out extra dimension from the returned axes array ax.Possible values are none, all, row, col or a boolean with a default value of False. sharex, sharey: Specifies sharing of properties between axes.Both of these are optional with a default value of 1. nrows, ncols: Number of rows and columns of the subplot grid. ![]() 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.Given below is the detail of each parameter to the method: 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. import matplotlib.pyplot as plt fig, ax plt.subplots(2, 2, figsize. So, a 221 means 2 tall, 2 wide, plot number 1. settitle can be used to set title, once the proper axes(ax) or subplot is selected. 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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