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BigCodeBench / BigCodeBench v0.1.0_hf 28037f99-9560-5c71-9685-78dad5eda85c

Problem

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

complete prompt

import pandas as pd
from collections import Counter


def task_func(text_dict, word_keys, top_k=2):
    """
    Calculate the frequency of certain words in a text dictionary and return a bar chart's Axes object and a dictionary
    containing the frequencies of the top_k most common words in text_dict. 
    
    The function takes a dictionary containing word frequencies and a list of words. It calculates the frequency 
    of the provided words in the dictionary and returns the Axes object of the bar chart displaying the frequencies
    along with the top_k most common words and their frequencies as a dictionary. If a word in word_keys is not present 
    in text_dict, its frequency is considered to be 0.
    
    Parameters:
    - text_dict (dict): The dictionary containing word frequencies. Key is the word and value is its frequency.
    - word_keys (list of str): The list of words to consider.
    - top_k (int, Optional): A positive integer denoting the number of most common words to return. Default is 2.
    
    Returns:
    - matplotlib.axes._axes.Axes: Axes object of the bar chart displaying the frequencies.
    - dict: Dictionary containing the frequencies of the top_k most common words. Key is the word and value is 
    its frequency.
    
    Requirements:
    - pandas
    - collections.Counter

    Raises:
    - ValueError: If top_k is a negative integer.
    
    Example:
    >>> import collections
    >>> text_dict = collections.Counter(['the', 'be', 'to', 'the', 'that', 'and', 'a', 'in', 'the', 'that', 'have', 'I'])
    >>> word_keys = ['the', 'and', 'I']
    >>> ax, frequencies = task_func(text_dict, word_keys, 3)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> frequencies
    {'the': 3, 'that': 2, 'be': 1}
    """

instruct prompt

Calculate the frequency of certain words in a text dictionary and return a bar chart's Axes object and a dictionary containing the frequencies of the top_k most common words in text_dict. The function takes a dictionary containing word frequencies and a list of words. It calculates the frequency of the provided words in the dictionary and returns the Axes object of the bar chart displaying the frequencies along with the top_k most common words and their frequencies as a dictionary. If a word in word_keys is not present in text_dict, its frequency is considered to be 0.
The function should raise the exception for: ValueError: If top_k is a negative integer.
The function should output with:
    matplotlib.axes._axes.Axes: Axes object of the bar chart displaying the frequencies.
    dict: Dictionary containing the frequencies of the top_k most common words. Key is the word and value is
    its frequency.
You should write self-contained code starting with:

Code

import pandas as pd
from collections import Counter
def task_func(text_dict, word_keys, top_k=2):

code prompt

Code

import pandas as pd
from collections import Counter
def task_func(text_dict, word_keys, top_k=2):

entry point

task_func

libs

  • pandas
  • collections

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Source and history

task_id
28037f99-9560-5c71-9685-78dad5eda85c
task_key
default--v0~2e1~2e0~5fhf--28037f99-9560-5c71-9685-78dad5eda85c
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import