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BigCodeBench / BigCodeBench v0.1.0_hf 45c32335-b891-5f00-aab1-ebdb5f305d61

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import pandas as pd
import requests
from io import StringIO

def task_func(csv_url_dict, sort_by_column="title"):
    """
    Fetches data from a given dictionary that includes a CSV URL and returns a pandas DataFrame sorted based on two specified columns.
    
    Parameters:
    - csv_url_dict (dict): The dictionary with the key "URL" to fetch the CSV data from.
    - sort_by_column (str): The column name based on which the data needs to be sorted. Default is "title".
    
    Returns:
    DataFrame: The pandas DataFrame sorted based on the specified column.
    
    Raises:
    - This function will raise a ValueError if the dictionary is empty or the key "URL" does not exist in the dictionary.

    Requirements:
    - pandas
    - requests
    - io.StringIO
    
    Example:
    >>> task_func({"URL": "http://example.com/data.csv"}, "title")
       id   title  price
    0   1   Apple    0.3
    1   2  Banana    0.5
    2   3  Cherry    0.2

    >>> task_func({"URL": "http://example.com/test.csv"}, "price")
       id   title  price
    2   3  Cherry    0.2
    0   1   Apple    0.3
    1   2  Banana    0.5
    """

instruct prompt

Fetches data from a given dictionary that includes a CSV URL and returns a pandas DataFrame sorted based on two specified columns. >>> task_func({"URL": "http://example.com/test.csv"}, "price") id   title  price 2   3  Cherry    0.2 0   1   Apple    0.3 1   2  Banana    0.5
The function should raise the exception for: This function will raise a ValueError if the dictionary is empty or the key "URL" does not exist in the dictionary.
The function should output with:
    DataFrame: The pandas DataFrame sorted based on the specified column.
You should write self-contained code starting with:

Code

import pandas as pd
import requests
from io import StringIO
def task_func(csv_url_dict, sort_by_column="title"):

code prompt

Code

import pandas as pd
import requests
from io import StringIO
def task_func(csv_url_dict, sort_by_column="title"):

entry point

task_func

libs

  • pandas
  • io
  • requests

Discussion

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Source and history

task_id
45c32335-b891-5f00-aab1-ebdb5f305d61
task_key
default--v0~2e1~2e0~5fhf--45c32335-b891-5f00-aab1-ebdb5f305d61
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import