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In [15]:

    
import pandas as pd

df = pd.DataFrame({
    'name': ['alice','bob','charlie','daniel'],
    'age': [25,66,56,78]
})[['name','age']]



In [16]:

    
df[['name','age']]



In [17]:

    
df.assign(
    is_senior = lambda dataframe: dataframe['age'].map(lambda age: True if age >= 65 else False) 
)









    Out[17]:







  
    
      
      name
      age
      is_senior
    
  
  
    
      0
      alice
      25
      False
    
    
      1
      bob
      66
      True
    
    
      2
      charlie
      56
      False
    
    
      3
      daniel
      78
      True



In [19]:

    
df.assign(
    is_senior = lambda dataframe: dataframe['age'].map(lambda age: True if age >= 65 else False) 
).assign(
    name_uppercase = lambda dataframe: dataframe['name'].map(lambda name: name.upper()),
).assign(
    name_uppercase_double = lambda dataframe: dataframe['name_uppercase'].map(lambda name: name.upper()+"-"+name.upper())
)









    Out[19]:







  
    
      
      name
      age
      is_senior
      name_uppercase
      name_uppercase_double
    
  
  
    
      0
      alice
      25
      False
      ALICE
      ALICE-ALICE
    
    
      1
      bob
      66
      True
      BOB
      BOB-BOB
    
    
      2
      charlie
      56
      False
      CHARLIE
      CHARLIE-CHARLIE
    
    
      3
      daniel
      78
      True
      DANIEL
      DANIEL-DANIEL



In [ ]:

	name	age	is_senior	name_uppercase	name_uppercase_double
0	alice	25	False	ALICE	ALICE-ALICE
1	bob	66	True	BOB	BOB-BOB
2	charlie	56	False	CHARLIE	CHARLIE-CHARLIE
3	daniel	78	True	DANIEL	DANIEL-DANIEL