matplotlib 同时绘制多个图形（二）

import matplotlib
import matplotlib.pyplot as plt
import numpy as np

matplotlib.rcParams["font.sans-serif"] = ["KaiTi"]
matplotlib.rcParams["axes.unicode_minus"] = False
X1 = np.linspace(0,20,1000)
Y1= np.e**(X1) * np.sin(X1)
X2 = np.random.randn(1000)+100

#网格共2行，3列，从(0,0)（注意，序数从0开始！）开始，跨越2列
plt.subplot2grid((2,3), (0,0),colspan =2)
plt.hist(X2, color ='red', edgecolor='black')
plt.xlabel("x 轴标签",color ="b")
plt.ylabel("y 轴标签",color ="b")
plt.title("标题2",color ="b")

#网格共2行，3列，从(0,2)开始，默认只占1列。
plt.subplot2grid((2,3), (0,2))
plt.boxplot([X2],labels=("G1",))
plt.ylabel("y 轴标签",color ="b")
plt.title("标题3",color ="b")

plt.subplot2grid((2,3), (1,0), colspan =3)
plt.plot(X1,Y1,"r-")
plt.xlabel("x 轴标签",color ="b")
plt.ylabel("y 轴标签",color ="b")
plt.title("标题1",color ="b")
plt.grid()

plt.suptitle("画布总标题")
plt.tight_layout()
plt.show()

import matplotlib
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np

matplotlib.rcParams["font.sans-serif"] = ["KaiTi"]
matplotlib.rcParams["axes.unicode_minus"] = False

X1 = np.linspace(0,20,1000)
Y1= np.e**(X1) * np.sin(X1)
X2 = np.random.randn(1000)+100

fig = plt.figure()#画布对象
gs = GridSpec(2,3)#2行3列

#第0行，跨越0到1列
ax1 = fig.add_subplot(gs[0, 0:2], facecolor="yellowgreen")
ax1.hist(X2, color ='red', edgecolor='black')
ax1.set_xlabel("x 轴标签",color ="b")
for ticklabel in ax1.get_xticklabels():
    ticklabel.set_rotation(60)#设置x轴刻度数字的旋转角度
ax1.set_ylabel("y 轴标签",color ="b")
ax1.set_title("标题2",color ="b")

#第0行，第2列（从0开始！！）
ax2 = fig.add_subplot(gs[0, 2], facecolor="yellowgreen")
ax2.boxplot([X2],labels=("G1",))
ax2.set_ylabel("y 轴标签",color ="b")#注意图形对象ax的方法名和pyplot比 多了 "set_" !!!!!
ax2.set_ylim(90,105)
ax2.set_yticks(np.arange(90,107.5,2.5))
ax2.set_title("标题3",color ="b")

#第1行，跨越所有列（从0开始！！）
ax3 = fig.add_subplot(gs[1,:])
ax3.plot(X1,Y1,"r-")
ax3.set_xlabel("x 轴标签",color ="b",bbox = {"facecolor":"lightgreen","pad":3,"alpha": 0.3})#显示方框，pad决定留白的大小
ax3.set_ylabel("y 轴标签",color ="b",bbox = {"facecolor":"yellow","pad":3,"alpha": 0.3})
ax3.set_title("标题1",color ="b",bbox = {"facecolor":"magenta","pad":5,"alpha": 0.4})
ax3.grid()

plt.suptitle("画布总标题")
plt.tight_layout()
plt.show()