PYTHON PROGRAM • JSON, CSV & COLLECTIONS

Group Values with defaultdict in Python

Learn group values with defaultdict in python with a short, executable Python example.

IntermediatedefaultdictGrouping

PROBLEM UNDERSTANDING

Input and expected output

Sample input

No input required

Sample output

{'A': ['Asha', 'Anu'], 'R': ['Ravi']}

COMPLETE PYTHON PROGRAM

Complete Python implementation

from collections import defaultdict
groups = defaultdict(list)
for name in ['Asha', 'Anu', 'Ravi']:
    groups[name[0]].append(name)
print(dict(groups))

CURRENT STEP

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SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

{'A': ['Asha', 'Anu'], 'R': ['Ravi']}

0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

Import the required standard-library tools and prepare the sample data for group values with defaultdict.
Process the data step by step using defaultdict and Grouping.
Display the result for group values with defaultdict and compare it with the documented sample output.

This example of group values with defaultdict processes the sample values in a controlled iteration. It demonstrates defaultdict and Grouping and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(n)

DEBUGGING CHECKLIST

Common mistakes

Check this

For group values with defaultdict, keep the data shape and value types consistent with defaultdict.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final defaultdict and Grouping result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.