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Pandas: Split a string of a column of a given DataFrame into multiple columns

Pandas: String and Regular Expression Exercise-23 with Solution

Write a Pandas program to split a string of a column of a given DataFrame into multiple columns.

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'name': ['Alberto  Franco','Gino Ann Mcneill','Ryan  Parkes', 'Eesha Artur Hinton', 'Syed  Wharton'],
    'date_of_birth ': ['17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'age': [18.5, 21.2, 22.5, 22, 23]
})
print("Original DataFrame:")
print(df)
df[["first", "middle", "last"]] = df["name"].str.split(" ", expand = True)
print("\nNew DataFrame:")
print(df)

Sample Output:

Original DataFrame:
                 name date_of_birth    age
0     Alberto  Franco     17/05/2002  18.5
1    Gino Ann Mcneill     16/02/1999  21.2
2        Ryan  Parkes     25/09/1998  22.5
3  Eesha Artur Hinton     11/05/2002  22.0
4       Syed  Wharton     15/09/1997  23.0

New DataFrame:
                 name date_of_birth    age    first middle     last
0     Alberto  Franco     17/05/2002  18.5  Alberto          Franco
1    Gino Ann Mcneill     16/02/1999  21.2     Gino    Ann  Mcneill
2        Ryan  Parkes     25/09/1998  22.5     Ryan          Parkes
3  Eesha Artur Hinton     11/05/2002  22.0    Eesha  Artur   Hinton
4       Syed  Wharton     15/09/1997  23.0     Syed         Wharton

Python Code Editor:


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Python: Tips of the Day

Returns True if there are duplicate values in a flat list, False otherwise

Example:

def tips_duplicates(lst):
  return len(lst) != len(set(lst))

x = [2, 4, 6, 8, 4, 2]
y = [1, 3, 5, 7, 9]
print(tips_duplicates(x))
print(tips_duplicates(y))

Output:

True
False