Pandas DataFrame: Select the rows, the score is between 15 and 20 (inclusive)
10. Selecting Rows Where Score is Between 15 and 20
Write a Pandas program to select the rows the score is between 15 and 20 (inclusive).
Sample DataFrame:
Sample Python dictionary data and list labels:
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']}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
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']}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
df = pd.DataFrame(exam_data , index=labels)
print("Rows where score between 15 and 20 (inclusive):")
print(df[df['score'].between(15, 20)])
Sample Output:
Rows where score between 15 and 20 (inclusive): attempts name qualify score c 2 Katherine yes 16.5 f 3 Michael yes 20.0 j 1 Jonas yes 19.0
Explanation:
The above Pandas code first creates a dataframe ‘df’ from the dictionary ‘exam_data’ using the list labels as index. It then filters the rows of ‘df’ that have a 'score' value between 15 and 20 (inclusive) using the between() method of a Pandas series.
Finally print() function prints the resulting filtered dataframe.
For more Practice: Solve these Related Problems:
- Write a Pandas program to select rows where the 'score' is between 15 and 20 inclusive and then sort these rows by 'name'.
- Write a Pandas program to filter the DataFrame for rows with scores between 15 and 20 and then compute the average score of this subset.
- Write a Pandas program to select rows with 'score' in the range 15 to 20 and then update the 'qualify' column based on this condition.
- Write a Pandas program to extract rows where 'score' falls between 15 and 20 and then display only the 'score' and 'attempts' columns.
Go to:
Previous: Write a Pandas program to select the rows where the score is missing, i.e. is NaN.
Next: Write a Pandas program to select the rows where number of attempts in the examination is less than 2 and score greater than 15.
Python-Pandas Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.