You can use double []
with columns names, join
or concat
:
df = pd.DataFrame({'column':range(5)})
print (df)
column
0 0
1 1
2 2
3 3
4 4
l = [('l1', 0.966797), ('l1', 0.998047),
('l2', 0.978516), ('l2', 0.998047), ('l3', 0.972656)]
df[['s','p']] = pd.DataFrame(l)
df = df.join(pd.DataFrame(l,columns=['s','p']))
df = pd.concat([df, pd.DataFrame(l,columns=['s','p'])],
…
Top comments (0)