I god a dataFrame called df_tags, and I'd like to shift the whole dataframe by using all values of Tag column as column header name with their corresponding values as the first row of values.
I have tried using df_tags.pop suggested here because my dataframe initially was converted from a Series that was initally a dictionary, but it hasn't really been working.
df_tags.head()
Tag 0
0 NNP 3966
1 IN 643
2 CD 589
3 DT 434
4 ( 324
5 NN 4104
6 : 3271
7 ) 326
8 VBD 196
9 VBN 92
10 RB 77
11 PRP$ 38
12 JJ 2034
13 . 96
14 VBZ 541
15 CC 285
... ... ... # and many many more...
into:
NNP IN CD DT ( NN ...
0 3966 643 589 434 324 4104 ...
try:
df.set_index("Tag").T
Tag NNP IN CD DT ( NN : ... VBN RB PRP$ JJ . VBZ CC
0 3966 643 589 434 324 4104 3271 ... 92 77 38 2034 96 541 285
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