【TensorFlow】numply模块与matplotlib模块

 numply模块：

import numpy as np
data1 = np.array([1,2,3,4,5])
print(data1)
data2 = np.array([[1,2],[3,4]])
print(data2)
#维度
print(data1.shape,data2.shape)
#zero ones
print(np.zeros([1,2]),np.ones([2,2]))
#改查
data2[1,0]=5
print(data2)
print(data2[1,1])
#基本运算
data3=np.ones([2,3])
print(data3*2)#对应相乘
print(data3/3)#对应相除
print(data3+2)
print(data3-2)
#矩阵的四则运算
data4=np.array([[1,2,3],[4,5,6]])
print(data3+data4)
print(data3-data4)
print(data3*data4)

matplotlib模块：

import numpy as np
import matplotlib.pyplot as plt
x = np.array([1,2,3,4,5,6,7,8])
y = np.array([3,5,7,6,2,6,10,15])
plt.plot(x,y,'r')#折线图
plt.plot(x,y,'g',lw=10) # lw=line width
x = np.array([1,2,3,4,5,6,7,8])
y = np.array([13,25,17,36,21,16,10,15])
plt.bar(x,y,0.2,alpha=0.2,color='b')#透明度
plt.show()