标签:sub values win append pen lse value highlight val
1、双y轴
x = np.arange(0., np.e, 0.01)
y1 = np.exp(-x)
y2 = np.log(x)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(x, y1)
ax1.set_ylabel(‘Y values for exp(-x)‘)
ax1.set_title("Double Y axis")
ax2 = ax1.twinx() # this is the important function
ax2.plot(x, y2, ‘r‘)
ax2.set_xlim([0, np.e])
ax2.set_ylabel(‘Y values for ln(x)‘)
ax2.set_xlabel(‘Same X for both exp(-x) and ln(x)‘)
plt.show()
2、分段画图
def sgn(value):
if value < 4:
return 20
else:
return 15
plt.figure(figsize=(6,4))
x = np.linspace(0, 8, 100)
y = np.array([])
for v in x:
y = np.append(y,np.linspace(sgn(v),sgn(v),1))
l=plt.plot(x,y,‘b‘,label=‘type‘)
plt.legend()
plt.show()
标签:sub values win append pen lse value highlight val
原文地址:https://www.cnblogs.com/xxupup/p/12015742.html