读书报告

import numpy as np
ls1 = [10, 42, 0, -17, 30]
nd1 =np.array(ls1)
print(nd1)
print(type(nd1))
import scipy
import numpy as np
 
from scipy import linalg
mat_ = np.array([[2,3,1],[4,9,10],[10,5,6]])    #创建矩阵
print(mat_)
#>[[ 2  3  1],[ 4  9 10],[10  5  6]]
linalg.det(mat_)        #矩阵的行列式
inv_mat = linalg.inv(mat_)  #矩阵的逆
print(inv_mat)
#>[[ 0.02409639 -0.07831325  0.12650602]
 #[ 0.45783133  0.01204819 -0.09638554]
 #[-0.42168675  0.12048193  0.03614458]]
　　fig = plt.figure()
ax = fig.add_subplot(2, 2, 1)
y = np.random.randn(100)
plt.plot(y);
ax.set_title(‘1‘)
 
y = np.random.rand(5)
x = np.arange(5)
ax = fig.add_subplot(2, 2, 2)
plt.bar(x, y)
ax.set_title(‘2‘);
 
y = np.random.rand(5)
y = y / np.sum(y)
y[y < .05] = .05
ax = fig.add_subplot(2, 2, 3)
plt.pie(y)
ax.set_title(‘3‘)
 
plt.draw()
plt.show()