![]() Then create subplots with 1 row and 2 columns, using the subplots() function.# Import LibraryĪx.plot(x, y1, color='red', linestyle=':')Īx.plot(x, y2, color='blue', linestyle='-') The source code below elaborates the process of increasing the size of the individual subplots. The following is the syntax: fig, ax = plt.subplots(nrows, ncols, gridspec_kw= Here we’ll see different examples where we set individual sizes for subplots using matplotlib. Matplotlib increase plot size subplots Set individual sizes for subplots To visualize the subplots, use the show() function.To set different linestyles of the plotted lines, use linestyle parameter.To plot the subplots, use the plot() function with axes.Define data coordinates used for plotting.To set one size for all subplots, use the figsize() function with width and height parameters.Then create subplots with 2 rows and 2 columns, using the subplots() function.Import necessary libraries, such as matplotlib.pyplot, and numpy.Here is the example where we increase the same size for all the subplots. ![]() The following is the syntax: fig, ax = plt.subplots(nrows, ncols, figsize=(width,height)) Here we’ll see examples where we set one size for all the subplots. ![]() There are two ways to increase the size of subplots. Here we’ll learn to increase the plot size of subplots using matplotlib. Read: What is matplotlib inline Matplotlib increase plot size subplots
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