pandas drop columns by index
cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)
pandas drop columns by index
cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)
delete index in df
>>> df.reset_index(drop=True)
class max_speed
0 bird 389.0
1 bird 24.0
2 mammal 80.5
3 mammal NaN
reset_index(drop=true)
In [194]: df.reset_index(drop=True)
Out[194]:
_worker_id foo
0 A 1
1 B 2
2 C 3
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