benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
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
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
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Source and history
- task_id
fa24cdca-8f0f-539a-9ec0-a7a7d8d7b2bf- task_key
default--v0~2e1~2e0~5fhf--fa24cdca-8f0f-539a-9ec0-a7a7d8d7b2bf- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import