How to eliminate first column from 'pandas.core.frame.DataFrame'

Question

I have code which is giving output in below format. How should i remove the first column and can store the elements of second row in list ? type of the output is in 'pandas.core.frame.DataFrame' format

    speed        lat       lng
1  19.130506  12.616756  7.460664   
2  63.595894  52.616838  7.460691   
3  40.740044  72.616913  7.460718   
4  22.227747  82.616993  7.460734   
5  68.058223  12.617062  7.460758  

Answer 1

Do you wanna use a values of speed like index?

if is that you can user set_index()

dataframe.set_index('speed', inplace=True)

to access the lat and lng elements you can do dataframe.loc[(speedvalue)] loc by example

dataframe.loc['19.130506']

Edit:

To transform all to a json

dataframe.set_index('speed', inplace=True).to_json(orient='index')

Answer 2

  df = pd.DataFrame([
 [19.130506 ,12.616756 ,7.460664],
 [63.595894 ,52.616838 ,7.460691],
 [40.740044 ,72.616913 ,7.460718],
 [22.227747 ,82.616993 ,7.460734],
 [68.058223 ,12.617062 ,7.460758]]
  ,columns=['speed', 'lat', 'lng']);

try this :

df.iloc[1:2,1:3].values.tolist().pop()

output :

[52.616838, 7.460691]