使用matplotlib绘制常用图表(2)-常用图标设置

import numpy as np
from matplotlib import pyplot as plt
%matplotlib inline
x = np.arange(1,100)
#print(x) #划分子图将画布分为2x2的画布
fig,axes = plt.subplots(2,2) axe1 = axes[0,0]
axe2 = axes[0,1]
axe3 = axes[1,0]
axe4 = axes[1,1] #画布大小和分辨率
fig = plt.figure(figsize=(20,10),dpi = 80) axe1.plot(x,x) axe2.plot(x,-x) axe3.plot(x,x**2) axe4.plot(x,np.log(x)) plt.show()

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
x = np.arange(1,100) fig = plt.figure(figsize = (20,10),dpi=80) #画第一个图，2x2矩阵第一个位置
ax1 = fig.add_subplot(2,2,1)
ax1.plot(x,x) #画第二个图
ax2 = fig.add_subplot(2,2,3)
ax2.plot(x,x**2) #画第三个图
ax3 =fig.add_subplot(2,2,4)
ax3.plot(x,np.log(x))
plt.show()

import matplotlib.pyplot as plt
import numpy as np y = range(0,14,2)
x = [-3,-2,-1,0,1,2,3] plt.figure(figsize=(20,8),dpi=80) #获取当前图标图像
ax = plt.gca() #设置图像包围线
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
#ax.spines['bottom'].set_color('none')
#ax.spines['left'].set_color('none') #设置底边移动范围
ax.spines['bottom'].set_position(('data',0))
ax.spines['left'].set_position(('data',0)) plt.plot(x,y)
plt.show()

# 设置坐标轴范围
import matplotlib.pyplot as plt
import numpy as np x = np.arange(-10,11,1)
y = x**2
plt.plot(x,y) plt.xlim(xmin = -5)
plt.ylim(ymax = 80)
plt.show()