Also, we can set one title for the whole figure, using fig.suptitle(). Also, we do not need x_label for both the matplotlib subplots. To overcome this problem, we can share both x-axes and y-axes as under. In Matplotlib Subplots, each axes is scaled individually by default.Therefore, if the tick values have different range, the matplotlib subplots do not align. Male_population = įemale_population = įig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1)Īx1.set_title('Total Population of India')Īx1.plot(ages, total_population, label='Total Population')Īx2.plot(ages, male_population, label='Male')Īx2.plot(ages, female_population, label='Female') Let us create two Matplotlib subplots stacked vertically, we will be using population data for men and women for one Matplotlib Subplot and total population for other subplot. # matplotlib_subplot_python.pyĪx.set_title('Total Population of India')Ĭreate Matplotlib Subplot with one figure and two axes Unlike plt.plot, we have to ax.set_title(), ax.set_xlabel() and ax.set_ylabel(). We will create a Matplotlib Subplot for the population data as done in Chapter 1, but instead of using plt.plot() directly, we will be creating a subplot and then plotting the data. The following examples will make it more clear.Ĭreate Matplotlib Subplot with one figure and one axes

Plt.subplot() takes nrows and ncols as argument, which are 1 as default, hence just calling plt.subplots() has returned one figure and one axes. Let us create an new file ‘matplotlib_subplot_python.py’ # matplotlib_subplot_python.py (ii) ax : ax can be either a single Axes object or an array of Axes objects if more than one subplot was created. It is the window which holds the graph/grid/axes. (i) fig : A Figure is the window which is returned on calling plt.show(). But using Matplotlib subplots, we can create mutliple figures and grids. Matplotlib.pyplot() or plt was automatically creating the plot which had one figure and one grid. But now, we will be using () (ptl.subplots()) to create Matplotlib Subplots. Till now, we have been using matplotlib.pyplot() to create the plots. In this Matplotlib Subplot tutorial, we will be learning to create Matplotlib Subplots. Matplotlib Subplot in Python | Chapter 10

Plt subplot python