BigCodeBench / BigCodeBench v0.1.0_hf 9c1f3156-2c6b-5b2a-a42a-ee7d96d72a17

complete prompt

from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt

# Constants
DATE_FORMAT = "%Y-%m-%d %H:%M:%S"


def task_func(timestamps):
    """
    Convert a list of Unix timestamps to date objects, create a Pandas DataFrame, and draw a histogram.
    - The date format should be as DATE_FORMAT.
    - The DataFrame should have 'Timestamp' and 'Datetime' as column names.
    - If the list of timestamps is empty, raise a ValueError with the message "Input list of timestamps is empty".

    Parameters:
    - timestamps (list): The list of Unix timestamps.

    Returns:
    - pandas.DataFrame: A pandas DataFrame containing the original Unix timestamps and the converted datetime objects.
    - Axes: The Axes object of the histogram plot. The histogram will have 10 bins by default, representing the distribution of the datetime objects.

    Raises:
    - ValueError("Input list of timestamps is empty."): If the list of timestamps is empty.

    Requirements:
    - datetime
    - pandas
    - matplotlib.pyplot

    Examples:
    >>> df, ax = task_func([1347517370, 1475153730, 1602737300])
    >>> print(df)
        Timestamp             Datetime
    0  1347517370  2012-09-13 02:22:50
    1  1475153730  2016-09-29 08:55:30
    2  1602737300  2020-10-15 00:48:20
    """

instruct prompt

Convert a list of Unix timestamps to date objects, create a Pandas DataFrame, and draw a histogram. - The date format should be as DATE_FORMAT. - The DataFrame should have 'Timestamp' and 'Datetime' as column names. - If the list of timestamps is empty, raise a ValueError with the message "Input list of timestamps is empty".
The function should raise the exception for: ValueError("Input list of timestamps is empty."): If the list of timestamps is empty.
The function should output with:
    pandas.DataFrame: A pandas DataFrame containing the original Unix timestamps and the converted datetime objects.
    Axes: The Axes object of the histogram plot. The histogram will have 10 bins by default, representing the distribution of the datetime objects.
You should write self-contained code starting with:

Code

from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
# Constants
DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
def task_func(timestamps):

code prompt

Code

from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
# Constants
DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
def task_func(timestamps):

entry point

task_func

libs

• pandas
• datetime
• matplotlib