python实现终端3维数据可视化

先上效果图:

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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 Axes3D
import numpy as np
import matplotlib.pyplot as plt
import show
import cv2
import os
from matplotlib import pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

fig = 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=45
y=45
for 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 opencv

pip install matplotlib

 

注意:转载请注明出处！！