matplotlib subplots

Display Multiple Plots

With the subplots() function you can draw multiple plots in one figure:

Example

Draw 2 plots:



import matplotlib.pyplot as pltimport numpy as np#plot 1:x =

np.array([0, 1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(1, 2, 1)

plt.plot(x,y)#plot 2:x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30,

40])plt.subplot(1, 2, 2)plt.plot(x,y)plt.show()



Result:







Try it Yourself »

Example

Draw 2 plots:

Result:

The subplots() Function

The subplots() function takes three arguments that describes the layout of the figure.

The layout is organized in rows and columns, which are represented by the first

and second argument.

The third argument represents the index of the current plot.

plt.subplot(1, 2, 1)

#the figure has 1 row, 2 columns, and this plot is the first plot.

plt.subplot(1, 2, 2)

#the figure has 1 row, 2 columns, and this plot is the second plot.

So, if we want a figure with 2 rows an 1 column (meaning that the two plots will be displayed on top of each other instead of side-by-side),

we can write the syntax like this:

Example

Draw 2 plots on top of each other:



import matplotlib.pyplot as pltimport numpy as np#plot 1:x =

np.array([0, 1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(2, 1, 1)

plt.plot(x,y)#plot 2:x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30,

40])plt.subplot(2, 1, 2)plt.plot(x,y)plt.show()



Result:







Try it Yourself »

Example

Draw 2 plots on top of each other:

Result:

You can draw as many plots you like on one figure, just descibe the number of rows, columns, and the index of the plot.

Example

Draw 6 plots:



import matplotlib.pyplot as pltimport numpy as npx = np.array([0,

1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(2, 3, 1)

plt.plot(x,y)x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30,

40])plt.subplot(2, 3, 2)plt.plot(x,y)x = np.array([0, 1,

2, 3])y = np.array([3, 8, 1, 10])plt.subplot(2, 3, 3)plt.plot(x,y)

x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30, 40])

plt.subplot(2, 3, 4)plt.plot(x,y)x = np.array([0, 1, 2, 3])y =

np.array([3, 8, 1, 10])plt.subplot(2, 3, 5)plt.plot(x,y)x

= np.array([0, 1, 2, 3])y = np.array([10, 20, 30, 40])plt.subplot(2,

3, 6)plt.plot(x,y)plt.show()

Result:







Try it Yourself »

Example

Draw 6 plots:

Result:

Title

You can add a title to each plot with the title() function:

Example

2 plots, with titles:



import matplotlib.pyplot as pltimport numpy as np#plot 1:x =

np.array([0, 1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(1, 2, 1)

plt.plot(x,y)plt.title("SALES")#plot 2:x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30,

40])plt.subplot(1, 2, 2)plt.plot(x,y)plt.title("INCOME")

plt.show()



Result:







Try it Yourself »

Example

2 plots, with titles:

Result:

Super Title

You can add a title to the entire figure with the suptitle() function:

Example

Add a title for the entire figure:



import matplotlib.pyplot as pltimport numpy as np#plot 1:x =

np.array([0, 1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(1, 2, 1)

plt.plot(x,y)plt.title("SALES")#plot 2:x = np.array([0, 1, 2, 3])y = np.array([10, 20, 30,

40])plt.subplot(1, 2, 2)plt.plot(x,y)plt.title("INCOME")

plt.suptitle("MY SHOP")plt.show()



Result:







Try it Yourself »

Example

Add a title for the entire figure:

Result: