insert row at given position in pandas dataframe

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Riccardo
14 Apr 2017
1import pandas as pd
2import numpy as np
3x=pd.DataFrame([{'BOY':1,'GIRL':44},{'BOY':22,'GIRL':100}])
4print(x)
5x=x.T #TRANSPOSE IT AND MAKE IT AS COLUMN
6x.insert(1,2,[44,56]) #INSERT A NEW COLUMN AT ANY POSITION
7x=x.T # NOW TRANSPOSE IT AGAIN TO MAKE IT ROW AGAIN
8x=x.reset_index(drop=True) # RESET INDEX 
9print(x)
source
Federico
23 Sep 2016
1line = DataFrame({"onset": 30.0, "length": 1.3}, index=[3])
2df2 = concat([df.iloc[:2], line, df.iloc[2:]]).reset_index(drop=True)
source
Louane
08 Jun 2018
1In [99]: df = pd.DataFrame(np.random.randn(8, 4), columns=['A','B','C','D'])
2
3In [100]: s = df.xs(3)
4
5In [101]: s.name = 10
6
7In [102]: df.append(s)
8Out[102]: 
9           A         B         C         D
100  -2.083321 -0.153749  0.174436  1.081056
111  -1.026692  1.495850 -0.025245 -0.171046
122   0.072272  1.218376  1.433281  0.747815
133  -0.940552  0.853073 -0.134842 -0.277135
144   0.478302 -0.599752 -0.080577  0.468618
155   2.609004 -1.679299 -1.593016  1.172298
166  -0.201605  0.406925  1.983177  0.012030
177   1.158530 -2.240124  0.851323 -0.240378
1810 -0.940552  0.853073 -0.134842 -0.277135
19
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