benchmarks.wiki

benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 649f0899-671c-5ade-b1d5-d6d731cbcd6d

Problem

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

complete prompt

import subprocess
import pandas as pd

def task_func(script_path, output_file_path):
    """
    Executes a script to produce a CSV, reads the CSV, and plots a bar graph from the data.

    This function runs the provided script, which should generate a CSV file at the specified output path.
    The CSV must have exactly two columns. It then reads this CSV into a DataFrame and plots a bar graph,
    setting the first column as the x-axis labels and the second column as the bar heights.
    It will raise ValueError if the script fails to execute, or if the produced CSV is not valid.

    Parameters:
    - script_path (str): Path to the script to be executed.
    - output_file_path (str): Path where the script outputs the CSV.

    Returns:
    - df (pd.DataFrame): DataFrame containing the data from the CSV.
    - ax (matplotlib.axes._axes.Axes): Axes object of the plotted bar graph.

    Raises:
    - ValueError: If the script fails to execute, the CSV is invalid, or the CSV does not contain exactly 2 columns.
    
    Requirements:
    - pandas
    - subprocess

    Examples:
    >>> df, ax = task_func("generate_data.sh", "data.csv")
    >>> type(df)
    <class 'pandas.core.frame.DataFrame'>
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Executes a script to produce a CSV, reads the CSV, and plots a bar graph from the data. This function runs the provided script, which should generate a CSV file at the specified output path. The CSV must have exactly two columns. It then reads this CSV into a DataFrame and plots a bar graph, setting the first column as the x-axis labels and the second column as the bar heights. It will raise ValueError if the script fails to execute, or if the produced CSV is not valid.
The function should raise the exception for: ValueError: If the script fails to execute, the CSV is invalid, or the CSV does not contain exactly 2 columns.
The function should output with:
    df (pd.DataFrame): DataFrame containing the data from the CSV.
    ax (matplotlib.axes._axes.Axes): Axes object of the plotted bar graph.
You should write self-contained code starting with:

Code

import subprocess
import pandas as pd
def task_func(script_path, output_file_path):

code prompt

Code

import subprocess
import pandas as pd
def task_func(script_path, output_file_path):

entry point

task_func

libs

  • subprocess
  • pandas

Discussion

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

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

task_id
649f0899-671c-5ade-b1d5-d6d731cbcd6d
task_key
default--v0~2e1~2e0~5fhf--649f0899-671c-5ade-b1d5-d6d731cbcd6d
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import