python实现终端3维数据可视化，,先上效果图:注意:转

python实现终端3维数据可视化，,先上效果图:注意:转

先上效果图:

注意:转载请注明出处

用matplotlib制作图表

把文件当做变量拿来和opencv互相通信

用opencv解析图像

# -*- coding:utf-8 -*-from HUAI_ZH import *from mpl_toolkits.mplot3d import Axes3Dimport numpy as npimport matplotlib.pyplot as pltimport showimport cv2import osfrom matplotlib import pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axes3Dfig = plt.figure()ax = Axes3D(fig)X = np.arange(-4, 4, 0.25)Y = np.arange(-4, 4, 0.25)X, Y = np.meshgrid(X, Y)R = np.sqrt(X**2 + Y**2)Z = np.sin(R)a=ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=‘rainbow‘)x=45y=45for i in range(100):     p=raw_input(‘请输入方向‘)          if p==‘w‘:y=y+10     if p==‘s‘:y=y-10     if p==‘a‘:x=x-10     if p==‘d‘:x=x+10     ax.view_init(x,y)     plt.savefig(‘/sdcard/qpython/qpyim.jpg‘,dpi=500)     pic = cv2.imread(‘/sdcard/qpython/qpyim.jpg‘,0)     pic = cv2.resize(pic, (int(95*2.8), int(95*2)), interpolation=cv2.INTER_CUBIC)     ret,th1 = cv2.threshold(pic,140,255,cv2.THRESH_BINARY)     os.system(‘clear‘)     print(‘\033[1;91m‘)     for i in th1:       l=i.tolist()       l=[str(i) for i in l]       s=‘‘.join(l).replace(‘255‘,‘\033[1;96m‘+‘ ‘+‘\033[1;91m‘).replace(‘0‘,‘*‘)       print(s)

食用方法:

先将qpython的字符大小调到最低

然后运行程序

依赖库为:

opencv

matplotlib

安装命令

pip install opencvpip install matplotlib

注意:转载请注明出处！！

python实现终端3维数据可视化