benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 26c94cd5-59e1-5985-9f4a-4003768e6180
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import os
import random
import pandas as pd
def task_func(data_dir,
csv_files=['file1.csv', 'file2.csv', 'file3.csv'],
seed=None):
"""
Randomly select one of the provided csv_files and select a certain number
of records from the file at random.
The selected records are returned in a DataFrame.
The name of the selected csv_file is also returned.
If the csv_file is empty return an empty DataFrame.
Parameters:
data_dir (str): The directory where the CSV files are located.
csv_files (list of str): The list of CSV files to choose from. Default is ['file1.csv', 'file2.csv', 'file3.csv'].
seed (int, optional): Seed for random number generation and for sampling from the csv.
Returns:
tuple: A tuple containing two elements:
- str: The name of the randomly selected file.
- DataFrame: A pandas DataFrame with the selected rows.
Requirements:
- os
- random
- pandas
Example:
>>> file_name, df = task_func('test_data')
>>> print(file_name)
'file2.csv'
>>> print(df)
Animal Weight
0 Cat 1
21 Mouse 12
15 Elephant 1000
2 Tiger 500
"""
instruct prompt
Randomly select one of the provided csv_files and select a certain number of records from the file at random. The selected records are returned in a DataFrame. The name of the selected csv_file is also returned. If the csv_file is empty return an empty DataFrame.
The function should output with:
tuple: A tuple containing two elements:
str: The name of the randomly selected file.
DataFrame: A pandas DataFrame with the selected rows.
You should write self-contained code starting with:
Code
import os
import random
import pandas as pd
def task_func(data_dir,
csv_files=['file1.csv', 'file2.csv', 'file3.csv'],
seed=None):
code prompt
Code
import os
import random
import pandas as pd
def task_func(data_dir,
csv_files=['file1.csv', 'file2.csv', 'file3.csv'],
seed=None):
entry point
task_func
libs
- pandas
- random
- os
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
26c94cd5-59e1-5985-9f4a-4003768e6180- task_key
default--v0~2e1~2e0~5fhf--26c94cd5-59e1-5985-9f4a-4003768e6180- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import