1、单条件
m=np.array([
[1,2,3],
[10,20,30],
[35,45,55]
])n=(m==20)
print(n)输出
[[False False False]
[False True False]
[False False False]]col2=(m[:,1]==20)
print(col2)输出
[False True False]print(m[col2,:])输出true值的那一行数据
[[10 20 30]]vector=np.array([5,10,15,20])
ten_or_five=(vector==10)|(vector==5)
print(ten_or_five)输出
[ True True False False]用布尔值替代数组中的值 (1) 例1
vector[ten_or_five]=50
print(vector)输出
[50 50 15 20](2) 例2
import numpy as np
m=np.array([
[1,2,3],
[10,20,30],
[35,45,55]
])column2=m[:,1]==20
print(column2)输出
[False True False]m[column2,1]=100
print(m)输出
[[ 1 2 3]
[ 10 100 30]
[ 35 45 55]](3) 替换空值
import numpy as np
m=np.array([
['','2','3'],
['10','20','30'],
['35','45','']
])col=(m=='')
print(col)输出
[[ True False False]
[False False False]
[False False True]]print(col[:,0])输出
[ True False False]m[col[:,0],0]='0'
print(m)输出
[['0' '2' '3']
['10' '20' '30']
['35' '45' '']]print(col[:,2])输出
[False False True]m[col[:,2],2]='0'
print(m)输出
[['0' '2' '3']
['10' '20' '30']
['35' '45' '0']]