我想从多个来源读取数据,并把它们画在另一个上面。我需要绘制它们的方式是在底部标记一个x-axis,而其他x-axis应该与相同的x-axis对齐,不管有什么点可用。
以下是这个问题的一个例子:
import matplotlib.pylab as plt
import random
import matplotlib.gridspec as gridspec
random.seed(20)
#create x-axis of my data
x1 = range(0,10) #different range than the next one
x2 = range(1,9)
#create data (just random data corresponding the x1,x2)
data1 = [random.random() for i in x1]
data2 = [random.random()*1000 for i in x2]
gs = gridspec.GridSpec(2,1)
fig = plt.figure()
#first plot
ax = fig.add_subplot(gs[0])
ax.plot(x1,data1)
ax.set_ylabel(r'Label One', size =16)
ax.get_yaxis().set_label_coords(-0.1,0.5)
plt.tick_params(
axis='x', # changes apply to the x-axis
labelbottom='off') # labels along the bottom edge are off
#second plot
ax = fig.add_subplot(gs[1])
ax.plot(x2,data2)
ax.set_ylabel(r'Label Two', size =16)
ax.get_yaxis().set_label_coords(-0.1,0.5)
plt.show()这就产生了情节:

请注意,上面绘图的x-axis与下一个绘图的x-axis不匹配。
我需要所有的地块互相匹配,让小地块中没有数据的区域空置。能否做到这一点?
如果您需要更多的信息,请询问。
发布于 2015-08-04 13:33:20
使用sharex参数对add_subplot()
import matplotlib.pylab as plt
import random
import matplotlib.gridspec as gridspec
random.seed(20)
#create x-axis of my data
x1 = range(0,10) #different range than the next one
x2 = range(1,9)
#create data (just random data corresponding the x1,x2)
data1 = [random.random() for i in x1]
data2 = [random.random()*1000 for i in x2]
gs = gridspec.GridSpec(2,1)
fig = plt.figure()
#first plot
ax = fig.add_subplot(gs[0])
ax.plot(x1,data1)
ax.set_ylabel(r'Label One', size =16)
ax.get_yaxis().set_label_coords(-0.1,0.5)
plt.tick_params(
axis='x', # changes apply to the x-axis
labelbottom='off') # labels along the bottom edge are off
#second plot
ax = fig.add_subplot(gs[1], sharex=ax)
ax.plot(x2,data2)
ax.set_ylabel(r'Label Two', size =16)
ax.get_yaxis().set_label_coords(-0.1,0.5)
plt.show()

https://stackoverflow.com/questions/31810461
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