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BigCodeBench / BigCodeBench v0.1.0_hf fa24cdca-8f0f-539a-9ec0-a7a7d8d7b2bf

Problem

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

complete prompt

import os
import pandas as pd
import re
import matplotlib.pyplot as plt

def task_func(directory: str, pattern: str) -> list:
    """
    Searches a directory for CSV files matching a given regular expression pattern,
    reads sales data from these files, and plots the sales data with month on the x-axis and sales on the y-axis.
    
    Note:
    - Each CSV file contains two columns: 'Month' and 'Sales'.

    Parameters:
    - directory (str): The directory path where the CSV files are located.
    - pattern (str): The regular expression pattern to match the filenames.

    Returns:
    - A list of matplotlib.axes._axes.Axes objects, each representing a plot of sales data from a matched CSV file.

    Requirements:
    - os
    - pandas
    - re
    - matplotlib.pyplot
    
    Examples:
    >>> axes = task_func('/path/to/data/', r'^sales_data_\d{4}.csv')
    >>> len(axes)
    2
    >>> axes[0].get_title()
    'sales_data_2021.csv'
    """

instruct prompt

Searches a directory for CSV files matching a given regular expression pattern, reads sales data from these files, and plots the sales data with month on the x-axis and sales on the y-axis.
Note that: Each CSV file contains two columns: 'Month' and 'Sales'.
The function should output with:
    A list of matplotlib.axes._axes.Axes objects, each representing a plot of sales data from a matched CSV file.
You should write self-contained code starting with:

Code

import os
import pandas as pd
import re
import matplotlib.pyplot as plt
def task_func(directory: str, pattern: str) -> list:

code prompt

Code

import os
import pandas as pd
import re
import matplotlib.pyplot as plt
def task_func(directory: str, pattern: str) -> list:

entry point

task_func

libs

  • pandas
  • matplotlib
  • re
  • os

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Source and history

Official source

initial import