python實現終端3維數據可視化

先上效果圖:

注意:轉載請注明出處

 

用matplotlib制作圖表

把文件當做變量拿來和opencv互相通信

用opencv解析圖像

# -*- 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('請輸入方向')     
     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:

先將qpython的字符大小調到最低

然后運行程序

依賴庫為:

opencv 

matplotlib

安裝命令

pip install opencv

pip install matplotlib

 

注意:轉載請注明出處！！