how to add a new column to the pandas df

1#using the insert function:
2df.insert(location, column_name, list_of_values) 
3#example
4df.insert(0, 'new_column', ['a','b','c'])
5#explanation:
6#put "new_column" as first column of the dataframe
7#and puts 'a','b' and 'c' as values
8
9#using array-like access:
10df['new_column_name'] = value
11
12#df stands for dataframe

1# Basic syntax:
2pandas_dataframe['new_column_name'] = ['list', 'of', 'column', 'values']
3
4# Note, the list of column values must have length equal to the number
5# 	of rows in the pandas dataframe you are adding it to.
6
7# Add column in which all rows will be value:
8pandas_dataframe['new_column_name'] = value
9# Where value can be a string, an int, a float, and etc 

1# pre 0.24
2feature_file_df['RESULT'] = RESULT_df['RESULT'].values
3# >= 0.24
4feature_file_df['RESULT'] = RESULT_df['RESULT'].to_numpy()

1# Import pandas package  
2import pandas as pd 
3  
4# Define a dictionary containing Students data 
5data = {'Name': ['Jai', 'Princi', 'Gaurav', 'Anuj'], 
6        'Height': [5.1, 6.2, 5.1, 5.2], 
7        'Qualification': ['Msc', 'MA', 'Msc', 'Msc']} 
8  
9# Convert the dictionary into DataFrame 
10df = pd.DataFrame(data) 
11  
12# Declare a list that is to be converted into a column 
13address = ['Delhi', 'Bangalore', 'Chennai', 'Patna'] 
14  
15# Using 'Address' as the column name 
16# and equating it to the list 
17df['Address'] = address 
18  
19# Observe the result 
20df 

1import pandas as pd
2
3data = {'Name': ['Josh', 'Stephen', 'Drake', 'Daniel'], 
4        'Height': [5.5, 6.0, 5.3, 4.9]}
5
6'''
7printing data at this point will show the following
8      Name  Height
90     Josh     5.1
101  Stephen     6.2
112    Drake     5.1
123   Daniel     5.2
13'''
14
15df.insert(2, "Age", [20, 21, 20, 19])
16
17'''
18printing data now will show the following
19
20      Name  Height  Age
210     Josh     5.1   20
221  Stephen     6.2   21
232    Drake     5.1   20
243   Daniel     5.2   19
25'''
26
27