Question

我对Matplotlib来说是全新的，我已经编写了这段代码来绘制到目前为止工作正常的两个系列：

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec

list1 = [1,2,3,4]
list2 = [4,3,2,1]

somecondition = True
plt.figure(1) #create one of the figures that must appear with the chart

gs = gridspec.GridSpec(3,1)

if not somecondition:
    ax = plt.subplot(gs[:,:]) #create the first subplot that will ALWAYS be there
    ax.plot(list1) #populate the "main" subplot
else:
    ax = plt.subplot(gs[:2, :])
    ax.plot(list1)
    ax = plt.subplot(gs[2, :]) #create the second subplot, that MIGHT be there
    ax.plot(list2) #populate the second subplot
plt.show()

我想要做的是在这个情节中添加第三个系列，让我们说：

list3 = [4,1,2,4]

重要的是第一个子图（list1）必须比其他两个大两倍;为了做到这一点，我使用了gridspace，但由于我是新手，我无法理解如何设置此示例代码的参数以获得第三个。任何人都可以解释我应该如何编辑块somecondition == True以获得3个子图（前1个比下面的2个大两倍）而不仅仅是两个？附：代码是可执行的。

Answer 1

这是Matplotlib子图

的示例

import matplotlib.pyplot as plt
import numpy as np

x,y = np.random.randn(2,100)
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2)
ax1.grid(True)
ax1.axhline(0, color='black', lw=2)

ax2 = fig.add_subplot(212, sharex=ax1)
ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2)
ax2.grid(True)
ax2.axhline(0, color='black', lw=2)

plt.show()

它使用pyplot和add_subplot语法相当简单。

Answer 2

要获得2：1的比例，您可以使用4行，并且分别绘制2,1,1行：

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec

list1 = [1,2,3,4]
list2 = [4,3,2,1]
list3 = [4,1,2,4]

somecondition = True
plt.figure(1) #create one of the figures that must appear with the chart

gs = gridspec.GridSpec(4,1)

if not somecondition:
    ax = plt.subplot(gs[:,:]) #create the first subplot that will ALWAYS be there
    ax.plot(list1) #populate the "main" subplot
else:
    ax = plt.subplot(gs[:2, :])
    ax.plot(list1)
    ax = plt.subplot(gs[2, :]) #create the second subplot, that MIGHT be there
    ax.plot(list2) #populate the second subplot
    ax = plt.subplot(gs[3, :]) #create the second subplot, that MIGHT be there
    ax.plot(list3)
plt.show()

Matplotlib：在图中添加第三个子图

2 个答案: