import numpy as np # deals with numbers in arrays import matplotlib.pyplot as plt # good for plottin' # plotly

x = np.linspace(0, 10, 500) y = np.sin(x) y1 = np.cos(x) y2 = np.random.randint(10, size=(500))/10

fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(8,3)) ax1.plot(x,y, lw='20') ax1.set_title('plot 1') ax2.plot(x,y1) ax2.set_title('plot 2') ax3.scatter(x,y2) ax3.set_title('plot 3') plt.tight_layout() plt.show()

fig, axs = plt.subplots(nrows=3, ncols=3, figsize=(8,6), sharex='col', sharey='row') # you can loop over axes: # for i, ax in enumerate(fig.axes): # ax.set_ylabel('subplot ' + str(i)) # fill up some plots as above but now with 2D array allocation [row,col] # row 0 axs[0,0].plot(x,y) axs[0,0].set_title('plot 1') axs[0,0].set_ylabel('subplot row 1') axs[0,1].plot(x,y1) axs[0,1].set_title('plot 2') axs[0,2].plot(x,y2) axs[0,2].set_title('plot 3') # row 1 axs[1,0].scatter(x,y) axs[1,1].scatter(x,y1) axs[1,2].scatter(x,y2) # row 2 axs[2,0].bar(x,y*100) axs[2,1].bar(x,y1*100) axs[2,2].bar(x,y2*100) plt.subplots_adjust(hspace=0, wspace=0) #plt.tight_layout() plt.show()

with plt.xkcd(): # This figure will be in XKCD-style fig1 = plt.figure() plt.plot(x,y) # ... plt.show()