Pandas: Capitalize all the string values of specified columns of a given DataFrame
Pandas: String and Regular Expression Exercise-5 with Solution
Write a Pandas program to capitalize all the string values of specified columns of a given DataFrame.
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame({
'name': ['alberto','gino','ryan', 'Eesha', 'syed'],
'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)
print("\nAfter capitalizing name column:")
df['name'] = list(map(lambda x: x.capitalize(), df['name']))
print(df)
Sample Output:
Original DataFrame: name date_of_birth age 0 alberto 17/05/2002 18.5 1 gino 16/02/1999 21.2 2 ryan 25/09/1998 22.5 3 Eesha 11/05/2002 22.0 4 syed 15/09/1997 23.0 After capitalizing name column: name date_of_birth age 0 Alberto 17/05/2002 18.5 1 Gino 16/02/1999 21.2 2 Ryan 25/09/1998 22.5 3 Eesha 11/05/2002 22.0 4 Syed 15/09/1997 23.0
Python Code Editor:
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Previous: Write a Pandas program to add leading zeros to the character column in a pandas series and makes the length of the field to 8 digit.
Next: Write a Pandas program to count of occurrence of a specified substring in a DataFrame column.
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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
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