I am trying to plot three different graphs in three sub-plots within a single figure. Also I want the first figure to be of double width than the other two. Accordingly I have used
gs = gridspec.GridSpec(2, 2, width_ratios=[2,1], height_ratios=[1,1])
But the output has all the figures plotted on ax3.
My code is given here
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
gs = gridspec.GridSpec(2, 2, width_ratios=[2,1], height_ratios=[1,1])
ax1=plt.subplot(gs[:,:-1])
ax2=plt.subplot(gs[:-1,-1])
ax3=plt.subplot(gs[-1,-1])
# ax 1
X=np.linspace(0,10,100)
Y=np.sin(X)
ax1 = plt.gca()
ax1.scatter(X, Y)
ax1.axis("tight")
ax1.set_title('ax1')
ax1.set_xlim([0,10])
ax1.set_ylim([-1,1])
plt.xticks([])
plt.yticks([])
# ax 2
ax2 = plt.gca()
vel=np.random.rand(1000)
n, bins, patches = plt.hist(vel, 10, normed=True, histtype='stepfilled', facecolor='green', alpha=1.0)
ax2.set_title('Velocity Distribution')
ax2.axis("tight")
plt.xticks([0,0.05,0.10])
plt.yticks([0,10,20])
# ax 3
Z=np.exp(X)
ax3.plot(X,Z,'red',lw=5)
plt.show()
Can somebody tell me how I can rectify this. Thank you in advance.
Fixed several lines. Please compare with your code.
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
gs = gridspec.GridSpec(2, 2, width_ratios=[2,1], height_ratios=[1,1])
ax1=plt.subplot(gs[:,:-1])
ax2=plt.subplot(gs[:-1,-1])
ax3=plt.subplot(gs[-1,-1])
# ax 1
X=np.linspace(0,10,100)
Y=np.sin(X)
#ax1 = plt.gca()
ax1.scatter(X, Y)
ax1.axis("tight")
ax1.set_title('ax1')
ax1.set_xlim([0,10])
ax1.set_ylim([-1,1])
# You can use ax1.set_xticks() and ax1.set_xticklabels() instead.
ax1.set_xticks([])
ax1.set_yticks([])
#plt.xticks([])
#plt.yticks([])
# ax 2
#ax2 = plt.gca()
vel=np.random.rand(1000)
n, bins, patches = ax2.hist(vel, 10, normed=True, histtype='stepfilled', facecolor='green', alpha=1.0)
ax2.set_title('Velocity Distribution')
ax2.axis("tight")
# You can use ax2.set_xticks() and ax2.set_xticklabels() instead.
ax2.set_xticks([0,0.5,1])
ax2.set_yticks([0,1,2])
#plt.xticks([0,0.05,0.10])
#plt.yticks([0,10,20])
# ax 3
Z=np.exp(X)
ax3.plot(X, Z,'red', lw=5)
# You can use ax3.set_xticks() and ax3.set_xticklabels() instead.
ax3.set_xticks([0, 5, 10])
ax3.set_yticks([0, 10000, 20000])
ax3.set_yticklabels(['0', '10K', '20K'])
plt.show()
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