如何使用python的matplotlib画正弦函数图像 Python使用matplotlib做出的图，怎么输出高清的...
python matplotlib\u6a21\u5757 \u5982\u4f55\u753b\u4e24\u5f20\u56fe\u51fa\u6765python matplotlib\u6a21\u5757 \u5982\u4f55\u753b\u4e24\u5f20\u56fe\u51fa\u6765\u7684\u65b9\u6cd5\uff1a
\u4ee3\u7801\u5982\u4e0b\u6240\u793a\uff1a
import numpy as np
import matplotlib.pyplot as plt
#\u521b\u5efa\u81ea\u53d8\u91cf\u6570\u7ec4
x= np.linspace(0,2*np.pi,500)
#\u521b\u5efa\u51fd\u6570\u503c\u6570\u7ec4
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.sin(x*x)
#\u521b\u5efa\u56fe\u5f62
plt.figure(1)
'''
\u610f\u601d\u662f\u5728\u4e00\u4e2a2\u884c2\u5217\u51714\u4e2a\u5b50\u56fe\u7684\u56fe\u4e2d\uff0c\u5b9a\u4f4d\u7b2c1\u4e2a\u56fe\u6765\u8fdb\u884c\u64cd\u4f5c\uff08\u753b\u56fe\uff09\u3002
\u6700\u540e\u9762\u90a3\u4e2a1\u8868\u793a\u7b2c1\u4e2a\u5b50\u56fe\u3002\u90a3\u4e2a\u6570\u5b57\u7684\u53d8\u5316\u6765\u5b9a\u4f4d\u4e0d\u540c\u7684\u5b50\u56fe
'''
#\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u56fe\u5f62
ax1 = plt.subplot(2,2,1)
#\u7b2c\u4e00\u884c\u7b2c\u4e8c\u5217\u56fe\u5f62
ax2 = plt.subplot(2,2,2)
#\u7b2c\u4e8c\u884c
ax3 = plt.subplot(2,1,2)
#\u9009\u62e9ax1
plt.sca(ax1)
#\u7ed8\u5236\u7ea2\u8272\u66f2\u7ebf
plt.plot(x,y1,color='red')
#\u9650\u5236y\u5750\u6807\u8f74\u8303\u56f4
plt.ylim(-1.2,1.2)
#\u9009\u62e9ax2
plt.sca(ax2)
#\u7ed8\u5236\u84dd\u8272\u66f2\u7ebf
plt.plot(x,y2,'b--')
plt.ylim(-1.2,1.2)
#\u9009\u62e9ax3
plt.sca(ax3)
plt.plot(x,y3,'g--')
plt.ylim(-1.2,1.2)
plt.show()
\u9644\u4e0a\u6548\u679c\u56fe\u3002
Matplotlib
\u662f\u4e00\u4e2a\u7531 John Hunter \u7b49\u5f00\u53d1\u7684\uff0c\u7528\u4ee5\u7ed8\u5236\u4e8c\u7ef4\u56fe\u5f62\u7684 Python \u6a21\u5757\u3002\u5b83\u5229\u7528\u4e86 Python \u4e0b\u7684\u6570\u503c\u8ba1\u7b97\u6a21\u5757 Numeric
\u53ca Numarray\uff0c\u514b\u9686\u4e86\u8bb8\u591a Matlab \u4e2d\u7684\u51fd\u6570\uff0c \u7528\u4ee5\u5e2e\u52a9\u7528\u6237\u8f7b\u677e\u5730\u83b7\u5f97\u9ad8\u8d28\u91cf\u7684\u4e8c\u7ef4\u56fe\u5f62\u3002
import numpy as np;
from matplotlib import pyplot as plt;
fig = plt.figure();
ax2= fig.add_subplot(111);
x=np.arange(0,100)/10;
y=np.sin(x);
ax2.plot(x,y);
plt.savefig('sine.png');
plt.show();
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