This is the same question as this question, which is marked as a duplicate of this one. The problem, and the reason I'm still asking, is that the solution provided (using pandas.read_clipboard()) currently doesn't work. I use Python 3.5 and whenever I try to copy data from the clipboard I get an error : "It seems the kernel died unexpectedly" which seems to be restricted to 3.5. Any other way to get a simple dataframe like the one below in a pandas dataframe without resorting to manually typing it or downgrading Python? c1 c2 c3 c4 0 1 2 2 1 1 1 3 2 3 2 3 4 4 3 3 4 5 6 5 4 5 6 9 7 in R I would be usingread.table() with the text= argument Thank you for your help. Continue reading...
