insert_index = 0insert_colname = 'new column'
insert_values = [1, 2, 3, 4, 5] # this can be a numpy array too
df.insert(loc=insert_index,column=insert_colname,value=insert_values)
df = pd.DataFrame({'B': [1, 2, 3], 'C': [4, 5, 6]})
df
Out:
B C
014125236idx = 0new_col = [7, 8, 9] # can be a list, a Series, an array or a scalar
df.insert(loc=idx,column='A',value=new_col)
df
Out:
A B C
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