[英]How to append two series into a dataframe Row wise
I have two series 我有两个系列
maxRow
Out[160]:
var#0 2.175999
var#1 1.016451
var#2 0.705303
var#3 1.842707
var#4 1.196601
var#5 2.162564
var#6 1.350877
var#7 0.453014
var#8 2.144554
obj#0 445537.407762
Name: 9, dtype: float64
minRow
Out[161]:
var#0 2.593331
var#1 1.990545
var#2 2.011221
var#3 1.349357
var#4 2.808741
var#5 0.890439
var#6 1.275528
var#7 1.658743
var#8 2.343061
obj#0 51386.375391
Name: 10, dtype: float64
What I would like to do is combine them row-wise . 我想做的是将它们逐行组合。
Thus the first row will go from 2.175999 to 445537.407762. 因此,第一行将从2.175999变为445537.407762。
The next row will go from 2.593331 to 5.1386.375391. 下一行将从2.593331移至5.1386.375391。
I know ahead of time that the series length will be consistent. 我提前知道系列长度是一致的。 I tried finding this but could only find examples of appending column-wise. 我试图找到这一点,但只能找到按列追加的示例。
Thank you! 谢谢!
You can try concat
and T
: 您可以尝试concat
和T
:
print pd.concat([maxRow,minRow], axis=1).T
var#0 var#1 var#2 var#3 var#4 var#5 var#6 \
9 2.175999 1.016451 0.705303 1.842707 1.196601 2.162564 1.350877
10 2.593331 1.990545 2.011221 1.349357 2.808741 0.890439 1.275528
var#7 var#8 obj#0
9 0.453014 2.144554 445537.407762
10 1.658743 2.343061 51386.375391
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