I am trying to make a plot with 7 subplots. At the moment I am plotting two columns, one with four plots and the other with three, i.e. like this:
Use grid spec (doc) with a 4x4 grid, and have each plot span 2 columns as such:
import matplotlib.gridspec as gridspec
gs = gridspec.GridSpec(4, 4)
ax1 = plt.subplot(gs[0, 0:2])
ax2 = plt.subplot(gs[0,2:])
ax3 = plt.subplot(gs[1,0:2])
ax4 = plt.subplot(gs[1,2:])
ax5 = plt.subplot(gs[2,0:2])
ax6 = plt.subplot(gs[2,2:])
ax7 = plt.subplot(gs[3,1:3])
fig = gcf()
gs.tight_layout(fig)
ax_lst = [ax1,ax2,ax3,ax4,ax5,ax6,ax7]
If you want to keep the for loop, you can arrange your plots with subplot2grid
, which allows for a colspan
parameter:
import numpy as np
import matplotlib.pyplot as plt
x = np.random.rand(20)
y = np.random.rand(20)
fig = plt.figure(figsize=(6.5,12))
plt.subplots_adjust(wspace=0.2,hspace=0.2)
iplot = 420
for i in range(7):
iplot += 1
if i == 6:
ax = plt.subplot2grid((4,8), (i//2, 2), colspan=4)
else:
# You can be fancy and use subplot2grid for each plot, which doesn't
# require keeping the iplot variable:
# ax = plt.subplot2grid((4,2), (i//2,i%2))
# Or you can keep using add_subplot, which may be simpler:
ax = fig.add_subplot(iplot)
ax.plot(x,y,'ko')
ax.set_xlabel("x")
ax.set_ylabel("y")
plt.savefig("subplots_example.png",bbox_inches='tight')