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BigCodeBench / BigCodeBench v0.1.0_hf b7e5dd78-f0f1-5406-865d-73116f1af403
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import csv
from collections import Counter
import operator
def task_func(csv_file, csv_delimiter):
"""
Reads a CSV file and counts the most common words in the file.
This function opens the specified CSV file using the provided delimiter, reads its contents,
and counts the frequency of each word. It returns a list of tuples, each containing a word
and its frequency, sorted by frequency in descending order.
Note: The function assumes that each cell in the CSV contains a single word.
Parameters:
csv_file (str): The path to the CSV file to be read.
csv_delimiter (str): The delimiter used in the CSV file.
Requirements:
- csv
- collections.Counter
- operator
Returns:
list of tuple: A list of tuples where each tuple contains a word and its count,
sorted by count in descending order.
Examples:
>>> with open(temp_data.csv, "w") as f:
>>> f.write("word1,word2,word3")
>>> type(task_func('temp_data.csv', ',')) == list
True
>>> all(isinstance(pair, tuple) and len(pair) == 2 for pair in task_func('temp_data.csv', ','))
True
"""
instruct prompt
Reads a CSV file and counts the most common words in the file. This function opens the specified CSV file using the provided delimiter, reads its contents, and counts the frequency of each word. It returns a list of tuples, each containing a word and its frequency, sorted by frequency in descending order.
Note that: The function assumes that each cell in the CSV contains a single word.
The function should output with:
list of tuple: A list of tuples where each tuple contains a word and its count,
sorted by count in descending order.
You should write self-contained code starting with:
Code
import csv
from collections import Counter
import operator
def task_func(csv_file, csv_delimiter):
code prompt
Code
import csv
from collections import Counter
import operator
def task_func(csv_file, csv_delimiter):
entry point
task_func
libs
- operator
- csv
- collections
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initial import