Here w represents the width and h represents the height. The following is the syntax: _size_inches(w, h) In matplotlib, to set the figure size in inches, use the set_size_inches() method of the figure module. Read: Matplotlib plot bar chart Matplotlib pyplot set_size_inches To visualize the subplots, use show() function.To auto adjust padding, use tight_layout() function.To plot a line chart, use plot() function.Next, define data coordinates to plot data.The gridpec_kw is a dictionary with keywords that can be used to change the size of each grid. To set the individual sizes for subplots, use gridspec_kw() method.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
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