Verifying numeric range in a column using Pandas
Pandas: Data Validation Exercise-12 with Solution
Write a Pandas program to verify numeric range in a DataFrame column.
This exercise demonstrates how to verify that all values in a numerical DataFrame column fall within a specific range.
Sample Solution :
Code :
import pandas as pd
# Create a sample DataFrame with numeric data
df = pd.DataFrame({
'Score': [85, 90, 95, 100, 110]
})
# Verify that all scores are between 0 and 100
valid_scores = df['Score'].between(0, 100)
# Output the result
print(valid_scores)
Output:
0 True 1 True 2 True 3 True 4 False Name: Score, dtype: bool
Explanation:
- Created a DataFrame with 'Score' values.
- Used between() to check that all scores fall between 0 and 100.
- Outputted a Boolean Series indicating whether each score meets the range condition.
Python-Pandas Code Editor:
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