1、共享单一绘图区域的坐标轴
<code>1
import
matplotlib
2
import
matplotlib.pyplot
as
plt
3
import
numpy
as
np
4
5
6
matplotlib.rcParams["font.sans-serif"]
=
["SimHei"]
7
matplotlib.rcParams["axes.unicode_minus"]
=
False
8
9
10
fig,ax1
=
plt.subplots()
11
12
13
t
=
np.arange(0.05,10.0,0.01)
14
15
s1
=
np.exp(t)
16
ax1.plot(t,s1,c="b",ls="-")
17
ax1.set_xlabel("X坐标轴")
18
ax1.set_ylabel("以e为底的指数函数",color="b")
19
ax1.tick_params(axis="y",color="b")
20
21
22
ax2
=
ax1.twinx()
23
24
s2
=
np.cos(t**2)
25
ax2.plot(t,s2,c="r",ls=":")
26
ax2.set_ylabel("余弦函数",color="r")
27
ax2.tick_params(axis="y",color="r")
28
29
plt.show()
/<code>
2、共享不同子区绘图区域的坐标轴
<code>1
import matplotlib.pyplot as plt
2
import numpy as np
3
4
x1 = np.linspace(0,2*np.pi,400)
5
y1 = np.cos(x1**2)
6
7
x2 = np.linspace(0.01,10,100)
8
y2 = np.sin(x2)
9
10
x3 = np.random.rand(100)
11
y3 = np.linspace(0,3,100)
12
13
x4 = np.arange(0,6,0.5)
14
y4 = np.power(x4,3)
15
16
fig,ax = plt.subplots(2,2)
17
18
ax1 = ax[0,0]
19
ax1.plot(x1,y1)
20
21
ax2 = ax[0,1]
22
ax2.plot(x2,y2)
23
24
ax3 = ax[1,0]
25
ax3.scatter(x3,y3)
26
27
ax4 = ax[1,1]
28
ax4.scatter(x4,y4)
29
30
plt.show()
/<code>
（1） 当fig,ax = plt.subplots(2,2,sharex="all")时。
若sharex="all"，4幅图的横坐标都采用了同一个坐标范围；若sharey="all"，4幅图的纵坐标都采用了同一个坐标范围
（2） 当fig,ax = plt.subplots(2,2,sharex="none")时等价于fig,ax = plt.subplots(2,2)本身，不共享任何坐标。
（3） 当fig,ax = plt.subplots(2,2,sharex="row")时，每一行的子分区共享横坐标。
（4） 当fig,ax = plt.subplots(2,2,sharex="col")时，每一列的子分区共享横坐标。
3、将共享坐标轴的子区之间的空隙去掉
<code>1
import
matplotlib.pyplot
as
plt
2
import
numpy
as
np
3
4
x
=
np.linspace(0.0,10.0,200)
5
y1
=
np.cos(x)*np.sin(x)
6
y2
=
np.exp(-x)*np.sin(x)
7
y3
=
3
*np.sin(x)
8
y4
=
np.power(x,0.5)
9
10
11
fig,(ax1,ax2,ax3,ax4)
=
plt.subplots(4,1,sharex="all")
12
13
14
fig.subplots_adjust(hspace=0)
15
16
ax1.plot(x,y1,ls="-",lw=2,c="b")
17
ax1.set_yticks(np.arange(-0.6,0.7,0.2))
18
ax1.set_ylim(-0.7,0.7)
19
20
ax2.plot(x,y2,ls="-",lw=2,c="r")
21
ax2.set_yticks(np.arange(-0.05,0.36,0.1))
22
ax2.set_ylim(-0.1,0.4)
23
24
ax3.plot(x,y3,ls="-",lw=2,c="g")
25
ax3.set_yticks(np.arange(-3,4,1))
26
ax3.set_ylim(-3.5,3.5)
27
28
ax4.plot(x,y4,ls="-",lw=2,c="c")
29
ax4.set_yticks(np.arange(0.0,3.6,0.5))
30
ax4.set_ylim(0.0,4.0)
31
32
plt.show()
/<code>
4、共享个别子区绘图区域的坐标轴
<code>import
matplotlib.pyplot as plt
import
numpy as np
x1
=np.linspace(0,2*np.pi,400)
y1
=np.cos(x1**2)
x2
=np.linspace(0.01,10,100)
y2
=np.sin(x2)
x3
=np.random.rand(100)
y3
=np.linspace(0,3,100)
x4
=np.arange(0,6,0.5)
y4
=np.power(x4,3)
=plt.subplots(2,2)
ax1
=plt.subplot(221)
ax1.plot(x1,y1)
ax2
=plt.subplot(222)
ax1.plot(x2,y2)
ax3
=plt.subplot(223)
ax3.scatter(x3,y3)
ax4
=plt.subplot(224,sharex=ax1) # 与第一个子区的横坐标共享
ax4.scatter(x4,y4)
plt.show()
/<code>
