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BigCodeBench / BigCodeBench v0.1.0_hf 88daca57-e33d-5e93-ae36-252fa5d0df96

Problem

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

complete prompt

import datetime
import numpy as np
import matplotlib.pyplot as plt

# Constants
TIME_FORMAT = "%d/%m/%y %H:%M:%S.%f"


def task_func(time_strings):
    """
    Compute the differences in seconds with integer values between consecutive datetime strings and plot these differences as a bar chart.

    Parameters:
    - time_strings (list of str): A list of datetime strings in the format 'dd/mm/yy HH:MM:SS.fff'.

    Returns:
    - matplotlib.axes.Axes: The axes object of the plotted bar chart. This object allows further customization of the plot outside this function.

    Requirements:
    - datetime
    - numpy
    - matplotlib

    Note:
    - The function requires the datetime, numpy, and matplotlib.pyplot modules.
    - The datetime strings in the input list should follow the specific format specified in TIME_FORMAT.
    - The function calculates the time differences between each pair of consecutive datetime strings in the list.

    Example:
    >>> time_strings = ['30/03/09 16:31:32.123', '30/03/09 16:32:33.123', '30/03/09 16:33:34.123']
    >>> ax = task_func(time_strings)
    >>> plt.show()  # This will display the bar chart
    """

instruct prompt

Compute the differences in seconds with integer values between consecutive datetime strings and plot these differences as a bar chart.
Note that: The function requires the datetime, numpy, and matplotlib.pyplot modules. The datetime strings in the input list should follow the specific format specified in TIME_FORMAT. The function calculates the time differences between each pair of consecutive datetime strings in the list.
The function should output with:
    matplotlib.axes.Axes: The axes object of the plotted bar chart. This object allows further customization of the plot outside this function.
You should write self-contained code starting with:

Code

import datetime
import numpy as np
import matplotlib.pyplot as plt
# Constants
TIME_FORMAT = "%d/%m/%y %H:%M:%S.%f"
def task_func(time_strings):

code prompt

Code

import datetime
import numpy as np
import matplotlib.pyplot as plt
# Constants
TIME_FORMAT = "%d/%m/%y %H:%M:%S.%f"
def task_func(time_strings):

entry point

task_func

libs

  • datetime
  • numpy
  • matplotlib

Discussion

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Source and history

task_id
88daca57-e33d-5e93-ae36-252fa5d0df96
task_key
default--v0~2e1~2e0~5fhf--88daca57-e33d-5e93-ae36-252fa5d0df96
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import