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Pandas DataFrame: Reset index in a given DataFrame

Pandas: DataFrame Exercise-37 with Solution

Write a Pandas program to reset index in a given DataFrame.

Sample data:
Original DataFrame
attempts name qualify score
0 1 Anastasia yes 12.5
1 3 Dima no 9.0
2 2 Katherine yes 16.5
3 3 James no NaN
4 2 Emily no 9.0
5 3 Michael yes 20.0
6 1 Matthew yes 14.5
7 1 Laura no NaN
8 2 Kevin no 8.0
9 1 Jonas yes 19.0
After removing first and second rows
attempts name qualify score
2 2 Katherine yes 16.5
3 3 James no NaN
4 2 Emily no 9.0
5 3 Michael yes 20.0
6 1 Matthew yes 14.5
7 1 Laura no NaN
8 2 Kevin no 8.0
9 1 Jonas yes 19.0
Reset the Index:
index attempts name qualify score
0 2 2 Katherine yes 16.5
1 3 3 James no NaN
2 4 2 Emily no 9.0
3 5 3 Michael yes 20.0
4 6 1 Matthew yes 14.5
5 7 1 Laura no NaN
6 8 2 Kevin no 8.0
7 9 1 Jonas yes 19.0

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
exam_data = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
        'score': [12.5, 9, 16.5, np.nan, 9, 20, 14.5, np.nan, 8, 19],
        'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
        'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']}
df = pd.DataFrame(exam_data)
print("Original DataFrame")
print(df)
print("\nAfter removing first and second rows")
df = df.drop([0, 1])
print(df)
print("\nReset the Index:")
df = df.reset_index()
print(df)

Sample Output:

  Original DataFrame
   attempts       name qualify  score
0         1  Anastasia     yes   12.5
1         3       Dima      no    9.0
2         2  Katherine     yes   16.5
3         3      James      no    NaN
4         2      Emily      no    9.0
5         3    Michael     yes   20.0
6         1    Matthew     yes   14.5
7         1      Laura      no    NaN
8         2      Kevin      no    8.0
9         1      Jonas     yes   19.0

After removing first and second rows
   attempts       name qualify  score
2         2  Katherine     yes   16.5
3         3      James      no    NaN
4         2      Emily      no    9.0
5         3    Michael     yes   20.0
6         1    Matthew     yes   14.5
7         1      Laura      no    NaN
8         2      Kevin      no    8.0
9         1      Jonas     yes   19.0

Reset the Index:
   index  attempts       name qualify  score
0      2         2  Katherine     yes   16.5
1      3         3      James      no    NaN
2      4         2      Emily      no    9.0
3      5         3    Michael     yes   20.0
4      6         1    Matthew     yes   14.5
5      7         1      Laura      no    NaN
6      8         2      Kevin      no    8.0
7      9         1      Jonas     yes   19.0                

Python-Pandas Code Editor:

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Python: Tips of the Day

Getting rid of unwanted characters:

You can get rid of whitespaces or any specific character using strip methods in Python. You can use either plain strip for both sides, lstrip for the left side and rstrip for the right side only.

str="+++Welcome python+++"
str.strip()

print(str)

Output:

+++Welcome python+++