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BigCodeBench / BigCodeBench v0.1.0_hf c161cde3-3b4a-5efc-815b-16c4277f2792

Problem

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

complete prompt

import pandas as pd
from datetime import datetime
import random


def task_func(start_date, end_date, num_series, seed=None):
    """
    Generates a DataFrame with multiple random integer time series (each ranging
    from 0 to 100) from a start date to an end date, then returns the generated time series
    on a line plot.

    Parameters:
    - start_date (str): The start date in "yyyy-mm-dd" format.
    - end_date (str): The end date in "yyyy-mm-dd" format.
    - num_series (int): The number of random time series to generate.
    - seed (int, optional): Seed for the random number generator. Defaults to None (not set).

    Returns:
    - pandas.DataFrame: A pandas DataFrame containing the generated time series, indexed by date.
    - plt.Axes: A matplotlib line plot of the time series.

    Raises:
    - ValueError: If start_date is later than end_date; or if num_series is less than 1.

    Requirements:
    - pandas
    - datetime
    - random

    Notes:
    - The line plot's title is set to "Random Time Series", the x-axis label to "Date",
      and the y-axis label to "Value".
    - Each time series is plotted as a separate line with automatic coloring and legend
      entry labeled as "series_x" where x is the series number.

    Example:
    >>> df, ax = task_func('2020-01-01', '2020-12-31', 3, 42)
    >>> df.head(2)
                series_1  series_2  series_3
    2020-01-01        81        67        19
    2020-01-02        14        20        29
    """

instruct prompt

Generates a DataFrame with multiple random integer time series (each ranging from 0 to 100) from a start date to an end date, then returns the generated time series on a line plot.
Note that: Notes: The line plot's title is set to "Random Time Series", the x-axis label to "Date", and the y-axis label to "Value". Each time series is plotted as a separate line with automatic coloring and legend entry labeled as "series_x" where x is the series number.
The function should raise the exception for: ValueError: If start_date is later than end_date; or if num_series is less than 1.
The function should output with:
    pandas.DataFrame: A pandas DataFrame containing the generated time series, indexed by date.
    plt.Axes: A matplotlib line plot of the time series.
You should write self-contained code starting with:

Code

import pandas as pd
from datetime import datetime
import random
def task_func(start_date, end_date, num_series, seed=None):

code prompt

Code

import pandas as pd
from datetime import datetime
import random
def task_func(start_date, end_date, num_series, seed=None):

entry point

task_func

libs

  • pandas
  • datetime
  • random

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Source and history

task_id
c161cde3-3b4a-5efc-815b-16c4277f2792
task_key
default--v0~2e1~2e0~5fhf--c161cde3-3b4a-5efc-815b-16c4277f2792
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import