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BigCodeBench / BigCodeBench v0.1.0_hf 279507cf-89a1-57f9-8bac-a519fca2b747

Problem

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

complete prompt

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt

def task_func(l):
    '''
    Draw a histogram of the given array with a Gaussian fit.

    Parameters:
    l (numpy array): The input array.

    Returns:
    ax (matplotlib.axes._axes.Axes): Axes object with the plot.

    Note:
    - This function use "Fit results: mu = {mean},  std = {standard deviation}" as the title of the plot, 
    where the values are rounded to two decimal points.


    Requirements:
    - numpy
    - scipy.stats
    - matplotlib.pyplot

    Example:
    >>> l = np.array([5, 5, 5, 5, 5])
    >>> ax = task_func(l)
    >>> print(ax.get_title())
    Fit results: mu = 5.00,  std = 0.00
    >>> plt.close()
    '''

instruct prompt

Draw a histogram of the given array with a Gaussian fit.
Note that: This function use "Fit results: mu = {mean},  std = {standard deviation}" as the title of the plot, where the values are rounded to two decimal points.
The function should output with:
    ax (matplotlib.axes._axes.Axes): Axes object with the plot.
You should write self-contained code starting with:

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def task_func(l):

code prompt

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def task_func(l):

entry point

task_func

libs

  • numpy
  • matplotlib
  • scipy

Discussion

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Source and history

task_id
279507cf-89a1-57f9-8bac-a519fca2b747
task_key
default--v0~2e1~2e0~5fhf--279507cf-89a1-57f9-8bac-a519fca2b747
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import