Ejercicios semana 1 (MIT OLL)
Contenido
Ejercicios semana 1 (MIT OLL)¶
2) Introducción a Numpy¶
np.arraynp.transpose
np.ndarray.shape
np.dot
np.sign
np.sum
Operaciones aritméticas +,-,*,/
import numpy as np
2.1) Arreglo¶
A = np.array([[1,2.4,5],[-1.8,9,2]])
A
array([[ 1. , 2.4, 5. ],
[-1.8, 9. , 2. ]])
A.shape
(2, 3)
2.2) Transpuesta¶
def tp(A):
return np.transpose(A)
def tp1(A):
return (np.transpose(A),A.T)
a, b = tp1(A)
a
b
array([[ 1. , -1.8],
[ 2.4, 9. ],
[ 5. , 2. ]])
2.4)¶
def rv(value_list):
return np.array([value_list])
a = rv([1,2,3])
a.shape
(1, 3)
2.5)¶
def cv(value_list):
return tp(rv(value_list))
cv([1,2,3,4,5,6,7,8])
array([[1],
[2],
[3],
[4],
[5],
[6],
[7],
[8]])
2.6)¶
def length(col_v):
v2 = col_v * col_v
v2_s = np.sum(v2)
norm = v2_s ** 0.5
return norm
length(cv([3,4]))
5.0
2.7)¶
def normalize(col_v):
norm = length(col_v)
col_v_u = (1/norm) * col_v
return col_v_u
normalize(cv([3,4]))
array([[0.6],
[0.8]])
a = normalize(cv([3,4]))
length(a)
1.0