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BigCodeBench / BigCodeBench v0.1.0_hf cf88713f-3931-5270-b2d7-03bc103db951

Problem

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

complete prompt

import re
import os
import glob
import natsort
import pandas as pd

def task_func(directory='./', file_pattern='*.txt', regex=r'([0-9]+)'):
    """
    Extract numeric data from all text files matching a given pattern in a directory and compile it into a Pandas DataFrame.

    Parameters:
    - directory (str): The directory to search for text files. Default is './'.
    - file_pattern (str): The glob pattern to match text files. Default is '*.txt'.
    - regex (str): The regular expression used to extract numeric data. Default is r'([0-9]+)'.

    Returns:
    - DataFrame: A pandas DataFrame with two columns: 'Filename' and 'Numeric Data'. Each row represents a file and its extracted numeric data.

    Raises:
    - FileNotFoundError: If the specified directory does not exist.
    - ValueError: If no files matching the pattern are found.

    Requirements:
    - re
    - os
    - glob
    - natsort
    - pandas

    Example:
    >>> data_dir = './data/'
    >>> create_dummy_files(data_dir)
    >>> df = task_func('./data/', '*.txt', r'([0-9]+)')
    >>> tear_down_files(data_dir)
    >>> print(df)
              Filename Numeric Data
    0        empty.txt           []
    1        file1.txt   [123, 456]
    2        file2.txt        [789]
    3        mixed.txt   [123, 456]
    4  non_numeric.txt           []
    """

instruct prompt

Extract numeric data from all text files matching a given pattern in a directory and compile it into a Pandas DataFrame.
The function should raise the exception for: FileNotFoundError: If the specified directory does not exist. ValueError: If no files matching the pattern are found.
The function should output with:
    DataFrame: A pandas DataFrame with two columns: 'Filename' and 'Numeric Data'. Each row represents a file and its extracted numeric data.
You should write self-contained code starting with:

Code

import re
import os
import glob
import natsort
import pandas as pd
def task_func(directory='./', file_pattern='*.txt', regex=r'([0-9]+)'):

code prompt

Code

import re
import os
import glob
import natsort
import pandas as pd
def task_func(directory='./', file_pattern='*.txt', regex=r'([0-9]+)'):

entry point

task_func

libs

  • glob
  • pandas
  • natsort
  • os
  • re

Discussion

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Source and history

task_id
cf88713f-3931-5270-b2d7-03bc103db951
task_key
default--v0~2e1~2e0~5fhf--cf88713f-3931-5270-b2d7-03bc103db951
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import