python append column to dataframe code example

Example 1: add rows to dataframe pandas

df = df.append({'a':1, 'b':2}, ignore_index=True)

Example 2: how to add a column to a pandas df

#using the insert function:
df.insert(location, column_name, list_of_values) 
#example
df.insert(0, 'new_column', ['a','b','c'])
#explanation:
#put "new_column" as first column of the dataframe
#and puts 'a','b' and 'c' as values

#using array-like access:
df['new_column_name'] = value

#df stands for dataframe

Example 3: python push to dataframe pandas

df = pd.DataFrame({
    'a':[1,2,3],
    'b':[5,6,7]
})

df2 = pd.DataFrame({
    'a':[11,12,13],
    'b':[15,16,17]
})

df = df.append(df2, ignore_index = True )

print(df)

Example 4: append one column pandas dataframe

df1 = df1.join(df2[column])

Example 5: how to add a new column to the pandas df

import pandas as pd

data = {'Name': ['Josh', 'Stephen', 'Drake', 'Daniel'], 
        'Height': [5.5, 6.0, 5.3, 4.9]}

'''
printing data at this point will show the following
      Name  Height
0     Josh     5.1
1  Stephen     6.2
2    Drake     5.1
3   Daniel     5.2
'''

df.insert(2, "Age", [20, 21, 20, 19])

'''
printing data now will show the following

      Name  Height  Age
0     Josh     5.1   20
1  Stephen     6.2   21
2    Drake     5.1   20
3   Daniel     5.2   19
'''