소스 뷰어
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import numpy as np

a = np.array( [ [4, 8, 5], [9, 3, 1] ] )

print( "a = ", a, sep="\n" )
print( "-"*30 )
print( "a.min() = ", a.min() )
print( "a.min(axis=0)", a.min(axis=0) )
print( "a.min(axis=1)", a.min(axis=1) )

print( "-"*30 )
print( "a.max() = ", a.max() )
print( "a.max(axis=0)", a.max(axis=0) )
print( "a.max(axis=1)", a.max(axis=1) )

print( "-"*30 )
print( "a.mean() = ", a.mean() )
print( "a.mean(axis=0)", a.mean(axis=0) )
print( "a.mean(axis=1)", a.mean(axis=1) )

print( "-"*30 )
print( "a.std() = ", a.std() )
print( "a.std(axis=0)", a.std(axis=0) )
print( "a.std(axis=1)", a.std(axis=1) )

a = 
[[4 8 5]
 [9 3 1]]
------------------------------
a.min() =  1
a.min(axis=0) [4 3 1]
a.min(axis=1) [4 1]
------------------------------
a.max() =  9
a.max(axis=0) [9 8 5]
a.max(axis=1) [8 9]
------------------------------
a.mean() =  5.0
a.mean(axis=0) [6.5 5.5 3. ]
a.mean(axis=1) [5.66666667 4.33333333]
------------------------------
a.std() =  2.7688746209726918
a.std(axis=0) [2.5 2.5 2. ]
a.std(axis=1) [1.69967317 3.39934634]
2025-03-11 22:04:56