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【小睿的ML之路】Numpy基本操作篇

发布时间 2023-09-13 00:14:36作者: 郭小睿
import numpy

vector = numpy.array(["1","2","3"])
print(vector)
print(vector.dtype)

vector = vector.astype(float) #类型转换
print(vector)
print(vector.dtype)

['1' '2' '3']
<U1
[1. 2. 3.]
float64

print(vector.min())

1.0

matrix = numpy.array([
    [5,10,15],
    [20,25,30],
    [35,40,45]
])

matrix.sum(axis=1) # 按行求和

array([ 30,  75, 120])

matrix = numpy.array([
    [5,10,15],
    [20,25,30],
    [35,40,45]
])

matrix.sum(axis=0) # 按列求和

array([60, 75, 90])