科学计算库拓展

sort_index排序

ser1=Series(np.arange(4),index=['b','c','d','a'])
print(ser1)
print('-'*20)
print(ser1.sort_index())#通过列或者行进行排序
print('-'*20)
print(ser1.sort_index(ascending=False))#False表示反过来排

b 0
c 1
d 2
a 3
dtype: int32
--------------------
a 3
b 0
c 1
d 2
dtype: int32
--------------------
d 2
c 1
b 0
a 3
dtype: int32

df=DataFrame(np.random.randint(1,9,(4,4)),
             columns=['b','c','a','d'],
             index=['B','D','A','C'])
print(df)
print('-'*20)
print(df.sort_index())#默认是对行索引进行排序
print('-'*20)
print(df.sort_index(axis=1,ascending=False))#对列索引进行反向排序

b c a d
B 4 7 8 2
D 1 2 4 3
A 1 6 1 5
C 8 6 2 5
--------------------
b c a d
A 1 6 1 5
B 4 7 8 2
C 8 6 2 5
D 1 2 4 3
--------------------
d c b a
B 2 7 4 8
D 3 2 1 4
A 5 6 1 1
C 5 6 8 2

 

转载于:https://www.cnblogs.com/jad-xxd/p/8379738.html