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BigCodeBench / BigCodeBench v0.1.0_hf efbd3003-9580-5aec-8793-3ce596e293be

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, group_name):
    """
    Create a bar subplot of a specific group from the input dataframe.

    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.
    - group_name (str): The name of the group to plot.

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

    Requirements:
    - matplotlib.pyplot
    - numpy

    Note:
    - The title of the plot will be 'Bar chart of [value_col] for [group_name]'.
    - The x-axis label will be the name of the grouping column [group_col].
    - The y-axis label will be the name of the value column [value_col].

    Raises:
    - Raise ValueError if the group_name does not exist in df.

    Example:
    >>> import pandas as pd
    >>> df = pd.DataFrame({'Group': ['A', 'B', 'C'], 'Value': [10, 20, 30]})
    >>> ax = task_func(df, 'Group', 'Value', 'B')
    >>> num_bars = len(ax.containers[0])  # Number of bars in the plot
    >>> num_bars == 1  # There should be 1 bar in the plot for group 'B'
    True
    >>> ax.containers[0][0].get_height() == 20 # The bar height of Group B should be 20
    True
    >>> plt.close()
    """

instruct prompt

Create a bar subplot of a specific group from the input dataframe.
Note that: The title of the plot will be 'Bar chart of [value_col] for [group_name]'. The x-axis label will be the name of the grouping column [group_col]. The y-axis label will be the name of the value column [value_col].
The function should raise the exception for: Raise ValueError if the group_name does not exist in df.
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, group_name):

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, group_name):

entry point

task_func

libs

  • numpy
  • matplotlib

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Source and history

task_id
efbd3003-9580-5aec-8793-3ce596e293be
task_key
default--v0~2e1~2e0~5fhf--efbd3003-9580-5aec-8793-3ce596e293be
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import