benchmarks.wiki

benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 7511aad4-a185-5791-8fed-93fb7072bb7e

Problem

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

complete prompt

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

def task_func(start_date='2016-01-01', periods=13, freq='WOM-2FRI', seed=0):
    """
    Generate a share price series for a specific period of time, plot the share prices, and return the DataFrame and the plot on the share prices over the given date range.
    The share prices are randomly generated between 100 and 500 from a uniform distribution.
    
    Parameters:
    - start_date (str): The start date for the share price series in 'YYYY-MM-DD' format. Default is '2016-01-01'.
    - periods (int): The number of periods for which the share price needs to be generated. Default is 13.
    - freq (str): The frequency string conforming to pandas date offset aliases. Default is 'WOM-2FRI'.
    - seed (int, optional): The seed for the random number generator to ensure reproducibility. Default is None.

    Returns:
    - A tuple containing a pandas DataFrame with columns ['Date', 'Price'] and a Matplotlib Axes object for the plot.

    Requirements:
    - pandas
    - numpy
    - matplotlib.pyplot
    
    Examples:
    >>> df, ax = task_func('2020-01-01', 5, 'M', seed=42)
    >>> len(df)
    5
    >>> df.iloc[0]['Price']
    249.81604753894499
    >>> ax.title.get_text()
    'Stock Prices'
    """

instruct prompt

Generate a share price series for a specific period of time, plot the share prices, and return the DataFrame and the plot on the share prices over the given date range. The share prices are randomly generated between 100 and 500 from a uniform distribution.
The function should output with:
    A tuple containing a pandas DataFrame with columns ['Date', 'Price'] and a Matplotlib Axes object for the plot.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(start_date='2016-01-01', periods=13, freq='WOM-2FRI', seed=0):

code prompt

Code

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(start_date='2016-01-01', periods=13, freq='WOM-2FRI', seed=0):

entry point

task_func

libs

  • pandas
  • numpy
  • matplotlib

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
7511aad4-a185-5791-8fed-93fb7072bb7e
task_key
default--v0~2e1~2e0~5fhf--7511aad4-a185-5791-8fed-93fb7072bb7e
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import