#0068

Parse Simple CSV Lines

EasyPython18 min15 XP

Problem

Given a list of comma-separated lines where the first line is the header, return a list of dictionaries for the remaining rows. Strip spaces around each cell.

Why This Matters

Reading files often means turning raw text into structured records. This problem practices the core logic without depending on file upload.

Function Signature

def parse_csv_lines(lines):

Examples

Example 1

Input["name,score", "Asha,10", "Ben,8"]

Output[{"name":"Asha","score":"10"}, {"name":"Ben","score":"8"}]

The first line supplies keys for each later row.

Constraints

No quoted commas are present.
Return strings, not numeric conversions.
Handle empty input.

CodePython

def parse_csv_lines(lines):
    """
    Input example: ["name,score", "Asha,10", "Ben,8"]
    Return: [{"name":"Asha","score":"10"}, {"name":"Ben","score":"8"}]
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return []

def parse_csv_lines(lines):
    """
    Input example: ["name,score", "Asha,10", "Ben,8"]
    Return: [{"name":"Asha","score":"10"}, {"name":"Ben","score":"8"}]
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return []

Visible browser tests run here when available.

Testcases1 visible / 3 hidden categories

Two records

Input["name,score", "Asha,10", "Ben,8"]

Expectedtwo dictionaries

Header values become dictionary keys.

Hidden Test Categories

empty inputspaces around cellsonly header row