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BigCodeBench / BigCodeBench v0.1.0_hf 7e6eed45-d31f-54a5-a239-4c66d08001ff

Problem

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

complete prompt

import numpy as np
import matplotlib.pyplot as plt

# Constants
COLORS = ['r', 'g', 'b']

def task_func(df, group_col, value_col):
    """
    Create a bar chart of data in multiple groups with error bars.

    Parameters:
    - df (DataFrame): The input DataFrame containing the data.
    - group_col (str): The name of the column to group the data by.
    - value_col (str): The name of the column containing the values to plot.

    Returns:
    - Axes: A matplotlib axes object with the bar chart.

    Requirements:
    - matplotlib.pyplot
    - numpy

    Example:
    >>> import matplotlib.pyplot as plt
    >>> import pandas as pd
    >>> df = pd.DataFrame({'Group': ['A', 'B', 'A', 'B', 'A', 'B'], 'Value': [1, 2, 3, 4, 5, 6]})
    >>> ax = task_func(df, 'Group', 'Value')
    >>> len(ax.patches)
    2
    >>> plt.close()

    Note:
    - The function uses a predefined set of colors for the bars. If there are more groups than colors,
      the colors will repeat from the beginning of the COLORS list.
    - This function use "Bar chart of {value_col} by {group_col}" for the plot title.
    - This function use value of variables group_col and value_col as the xlabel and ylabel respectively.

    Raises:
    -This function will raise TypeError if the 'Value' has non-numeric values.
    """

instruct prompt

Create a bar chart of data in multiple groups with error bars.
Note that: The function uses a predefined set of colors for the bars. If there are more groups than colors, the colors will repeat from the beginning of the COLORS list. This function use "Bar chart of {value_col} by {group_col}" for the plot title. This function use value of variables group_col and value_col as the xlabel and ylabel respectively.
The function should raise the exception for: This function will raise TypeError if the 'Value' has non-numeric values.
The function should output with:
    Axes: A matplotlib axes object with the bar chart.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
# Constants
COLORS = ['r', 'g', 'b']
def task_func(df, group_col, value_col):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
# Constants
COLORS = ['r', 'g', 'b']
def task_func(df, group_col, value_col):

entry point

task_func

libs

  • numpy
  • matplotlib

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Source and history

task_id
7e6eed45-d31f-54a5-a239-4c66d08001ff
task_key
default--v0~2e1~2e0~5fhf--7e6eed45-d31f-54a5-a239-4c66d08001ff
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import