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For multiple plots in a single pdf file you can use PdfPages. In the plotGraph function you should return the figure and than call savefig of the figure object.----- plotting module -----def plotGraph(X,Y): fig = plt.figure() ### Plotting arrangements ### return fig ----- plotting module ----- mainModule ----
pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure.
matplotlib.pyplot.subplot# matplotlib.pyplot. subplot (* args, ** kwargs) [source] # Add an Axes to the current figure or retrieve an existing Axes. This is a wrapper of Figure.add_subplot which provides additional behavior when working with the implicit API (see the notes section). Call signatures:
matplotlib.pyplot.subplots# matplotlib.pyplot. subplots (nrows = 1, ncols = 1, *, sharex = False, sharey = False, squeeze = True, width_ratios = None, height_ratios = None, subplot_kw = None, gridspec_kw = None, ** fig_kw) [source] # Create a figure and a set of subplots.
Over 17 examples of Subplots including changing color, size, log axes, and more in Python.
7 wrz 2018 · This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. That means you can use this single function to create a figure with several subplots with only one line of code.
To this end, Matplotlib has the concept of subplots: groups of smaller axes that can exist together within a single figure. These subplots might be insets, grids of plots, or other more complicated layouts. In this section we'll explore four routines for creating subplots in Matplotlib.
