I needed to anaylsis some data which was output as a multi-dimensional list via presto.
The dataset was out putted like this from presto
[['broadstreethockey.com', 104.52548999999995], ['wtop.com', 219.87889000000013], ['wcnc.com', 1421.8935000000015], ['laurenslatest.com', 130.33513000000033], ['theblackpeppercorn.com', 557.85184], ['independenttravelcats.com', 105.54693999999982]]
# import pandas as pd
import pandas as pd
# List1
lst = [['tom', 25], ['krish', 30],
['nick', 26], ['juli', 22]]
df = pd.DataFrame(lst, columns =['Name', 'Age'])
df But now with pandas it output is like this:
Domain Revenue
0 barnfinds.com 3514.26409
1 familyeducation.com 1011.75201
2 quirkytravelguy.com 144.26088
3 dongknows.com 352.05065
4 lifeasmama.com 225.39434
... ... ...
2957 accuweather.com 32011.46441
2958 lanascooking.com 218.88943
2959 mybirthday.ninja 343.03933
2960 talent-republic.tv 209.93933
2961 cbs46.com 194.69924
[2962 rows x 2 columns]
Which should allow for nice data comparison