pandas insert column in the beginning
insert_index = 0
insert_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)pandas insert column in the beginning
insert_index = 0
insert_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)how to add the column to the beginning of dataframe
# Third position would be at index 2, because of zero-indexing.
df.insert(2, 'new-col', data)insert row at given position in pandas dataframe
import pandas as pd
import numpy as np
x=pd.DataFrame([{'BOY':1,'GIRL':44},{'BOY':22,'GIRL':100}])
print(x)
x=x.T #TRANSPOSE IT AND MAKE IT AS COLUMN
x.insert(1,2,[44,56]) #INSERT A NEW COLUMN AT ANY POSITION
x=x.T # NOW TRANSPOSE IT AGAIN TO MAKE IT ROW AGAIN
x=x.reset_index(drop=True) # RESET INDEX
print(x)insert row in any position pandas dataframe
line = DataFrame({"onset": 30.0, "length": 1.3}, index=[3])
df2 = concat([df.iloc[:2], line, df.iloc[2:]]).reset_index(drop=True)add column using a list at poisition zero pandas
df = pd.DataFrame({'B': [1, 2, 3], 'C': [4, 5, 6]})
df
Out:
B C
0 1 4
1 2 5
2 3 6
idx = 0
new_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
0 7 1 4
1 8 2 5
2 9 3 6Copyright © 2021 Codeinu
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