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BigCodeBench / BigCodeBench v0.1.0_hf d737b4cf-df7c-5d9d-b4e5-34d7305c34df

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 matplotlib.pyplot as plt
import numpy as np


def task_func(file_path: str, plot_path: str) -> (float, float, str):
    """
    Processes a CSV file at the given path by reading its contents, cleaning the data,
    performing statistical analysis, and generating a plot, which is saved to the specified path.

    Sets the title of the plot to "Data Visualization".
    Labels the x-axis as "Index" and the y-axis as "Value".
    Saves the generated plot to the file path specified in 'plot_path'.

    Parameters:
    - file_path (str): Path to the CSV input file.
    - plot_path (str): Path where the plot will be saved.

    Returns:
    - tuple: A tuple containing the following elements:
        - Mean (float): The average value of the data. Returns NaN if data is empty or non-numeric.
        - Median (float): The middle value of the data when sorted. Returns NaN if data is empty or non-numeric.
        - Plot Path (str): The path where the plot is saved.

    Raises:
    - FileNotFoundError: If the CSV file at 'file_path' does not exist.

    Requirements:
    - os
    - pandas
    - matplotlib
    - numpy

    Example:
    >>> task_func("sample_data.csv", "output_plot.png")
    (25.5, 23.0, "output_plot.png")
    """

instruct prompt

Processes a CSV file at the given path by reading its contents, cleaning the data, performing statistical analysis, and generating a plot, which is saved to the specified path. Sets the title of the plot to "Data Visualization". Labels the x-axis as "Index" and the y-axis as "Value". Saves the generated plot to the file path specified in 'plot_path'.
The function should raise the exception for: FileNotFoundError: If the CSV file at 'file_path' does not exist.
The function should output with:
    tuple: A tuple containing the following elements:
    Mean (float): The average value of the data. Returns NaN if data is empty or non-numeric.
    Median (float): The middle value of the data when sorted. Returns NaN if data is empty or non-numeric.
    Plot Path (str): The path where the plot is saved.
You should write self-contained code starting with:

Code

import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
def task_func(file_path: str, plot_path: str) -> (float, float, str):

code prompt

Code

import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
def task_func(file_path: str, plot_path: str) -> (float, float, str):

entry point

task_func

libs

  • pandas
  • numpy
  • matplotlib
  • os

Discussion

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Source and history

task_id
d737b4cf-df7c-5d9d-b4e5-34d7305c34df
task_key
default--v0~2e1~2e0~5fhf--d737b4cf-df7c-5d9d-b4e5-34d7305c34df
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import