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BigCodeBench / BigCodeBench v0.1.0_hf e5f0924a-f3c0-50f5-b525-102c3e191990

Problem

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

complete prompt

import pandas as pd
import numpy as np

def task_func(fruit_data):
    """
    Calculate and return the total and average counts for each type of fruit.

    This function takes a list of tuples, each containing a fruit name and its count, 
    then calculates the total count and the average count for each type of fruit. 
    The results are returned as a pandas DataFrame with each row representing a different fruit.

    If fruit_data is an empty list, an empty dataFrame is returned.

    Parameters:
    fruit_data (list of tuples): Each tuple contains a string representing the fruit name and an integer for the count.

    Returns:
    DataFrame: A pandas DataFrame with two columns: 'Total Count' and 'Average Count'. 
               Each row's index is the fruit name.

    Requirements:
    - pandas
    - numpy

    Example:
    >>> fruit_list = [('apple', 5), ('banana', 3), ('apple', 6), ('banana', 4), ('cherry', 5), ('banana', 2), ('apple', 4), ('cherry', 5)]
    >>> report = task_func(fruit_list)
    >>> report.sort_index(inplace=True)
    >>> print(report)
            Total Count  Average Count
    apple            15            5.0
    banana            9            3.0
    cherry           10            5.0

    >>> fruit = [('apple', 1), ('orange', 25), ('apple', 111)]
    >>> df = task_func(fruit)
    >>> df.sort_index(inplace=True)
    >>> print(df)
            Total Count  Average Count
    apple           112           56.0
    orange           25           25.0
    """

instruct prompt

Calculate and return the total and average counts for each type of fruit. This function takes a list of tuples, each containing a fruit name and its count, then calculates the total count and the average count for each type of fruit. The results are returned as a pandas DataFrame with each row representing a different fruit. If fruit_data is an empty list, an empty dataFrame is returned. >>> fruit = [('apple', 1), ('orange', 25), ('apple', 111)] >>> df = task_func(fruit) >>> df.sort_index(inplace=True) >>> print(df) Total Count  Average Count apple           112           56.0 orange           25           25.0
The function should output with:
    DataFrame: A pandas DataFrame with two columns: 'Total Count' and 'Average Count'.
    Each row's index is the fruit name.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
def task_func(fruit_data):

code prompt

Code

import pandas as pd
import numpy as np
def task_func(fruit_data):

entry point

task_func

libs

  • pandas
  • numpy

Discussion

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Source and history

task_id
e5f0924a-f3c0-50f5-b525-102c3e191990
task_key
default--v0~2e1~2e0~5fhf--e5f0924a-f3c0-50f5-b525-102c3e191990
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import