[英]Sorting columns of pandas on every row
I am trying to sort the columns of a panda on every row. 我正在尝试对每一行中的熊猫的列进行排序。 Consider this dataframe df:
考虑以下数据帧df:
X C1 C2 C3 C4 Y Z
A 11 15 12 13 A1 A2
B 21 25 22 23 B1 B2
C 31 35 32 33 C1 C2
I am trying to sort columns in ascending order C1-C4 on every row such that the end dataframe looks like this: 我试图在每一行上按升序C1-C4对列进行排序,以使最终数据帧如下所示:
X C1 C2 C3 C4 Y Z
A 11 12 13 15 A1 A2
B 21 22 23 25 B1 B2
C 31 32 33 35 C1 C2
I have looked up pandas sort_values()
but having difficulty with the manual. 我查询了pandas
sort_values()
但在使用手册时遇到了困难。 Hoping somebody can show me some tricks. 希望有人可以向我展示一些技巧。 I am trying to sort only a few columns and not all on each row.
我正在尝试仅对几列进行排序,而不对每一行都进行排序。
Use numpy.sort
for sorting by all rows: 使用
numpy.sort
对所有行进行排序:
cols = ['C1','C2','C3','C4']
df[cols] = np.sort(df[cols], axis=1)
print (df)
X C1 C2 C3 C4 Y Z
0 A 11 12 13 15 A1 A2
1 B 21 22 23 25 B1 B2
2 C 31 32 33 35 C1 C2
If possible, sort by index 0
: 如果可能,按索引
0
排序:
cols = ['C1','C2','C3','C4']
df[cols] = df[cols].sort_values(0, axis=1)
#thanks @pygo for another solution
df[cols].sort_values(0, axis=1, inplace=True)
print (df)
X C1 C2 C3 C4 Y Z
0 A 11 12 13 15 A1 A2
1 B 21 22 23 25 B1 B2
2 C 31 32 33 35 C1 C2
Difference between solutions with changed input DataFrame: 输入数据框架更改后的解决方案之间的区别:
print (df)
X C1 C2 C3 C4 Y Z
0 A 11 15 12 13 A1 A2
1 B 2 1 5 4 B1 B2
2 C 31 35 32 33 C1 C2
cols = ['C1','C2','C3','C4']
df[cols] = np.sort(df[cols], axis=1)
print (df)
X C1 C2 C3 C4 Y Z
0 A 11 12 13 15 A1 A2
1 B 1 2 4 5 B1 B2
2 C 31 32 33 35 C1 C2
cols = ['C1','C2','C3','C4']
df[cols] = df[cols].sort_values(0, axis=1)
print (df)
X C1 C2 C3 C4 Y Z
0 A 11 12 13 15 A1 A2
1 B 2 5 4 1 B1 B2
2 C 31 32 33 35 C1 C2
You can use pandas
function sort_values()
like below: 您可以使用如下的
pandas
函数sort_values()
:
In [331]: df
Out[331]:
X C1 C2 C3 C4 Y Z
0 A 11 15 12 13 A1 A2
1 B 21 25 22 23 B1 B2
2 C 31 35 32 33 C1 C2
In [332]: df.sort_values(['C1','C2','C3','C4'])
Out[332]:
X C1 C2 C3 C4 Y Z
0 A 11 15 12 13 A1 A2
1 B 21 25 22 23 B1 B2
2 C 31 35 32 33 C1 C2
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