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BigCodeBench / BigCodeBench v0.1.0_hf f888ff39-a335-5cea-8be4-b5c62ec70174

Problem

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

complete prompt

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

def task_func(column, data):
    """
    Analyze and visualize statistical properties of a specified weather data column.

    This function calculates the sum, mean, minimum, and maximum values of a specified column in the given data.
    It also generates a histogram plot of the data in the column. The dataset is expected to be a list of weather
    observations, where each observation includes date, temperature, humidity, wind speed, and precipitation values.
    If the provided data list is empty, resulting in an empty DataFrame, the function handles it by setting:
    - The 'mean' value to np.nan.
    - The 'min' value to np.inf.
    - The 'max' value to -np.inf.

    Parameters:
    column (str): The column to analyze. Valid columns include 'Temperature', 'Humidity', 'Wind Speed', and 'Precipitation'.
    data (list of lists): The weather data where each inner list contains the following format:
                          [Date (datetime object), Temperature (int), Humidity (int), Wind Speed (int), Precipitation (float)]

    Returns:
    - result (dict): A dictionary containing:
        - 'sum': Sum of the values in the specified column.
        - 'mean': Mean of the values in the specified column.
        - 'min': Minimum value in the specified column.
        - 'max': Maximum value in the specified column.
        - 'plot': A matplotlib BarContainer object of the histogram plot for the specified column.

    Requirements:
    - pandas
    - numpy
    - matplotlib.pyplot

    Example:
    >>> data = [[datetime(2022, 1, 1), -5, 80, 10, 0], [datetime(2022, 1, 3), -2, 83, 15, 0]]
    >>> result = task_func('Temperature', data)
    >>> result['sum']
    -7
    >>> type(result['plot'])
    <class 'matplotlib.container.BarContainer'>
    """

instruct prompt

Analyze and visualize statistical properties of a specified weather data column. This function calculates the sum, mean, minimum, and maximum values of a specified column in the given data. It also generates a histogram plot of the data in the column. The dataset is expected to be a list of weather observations, where each observation includes date, temperature, humidity, wind speed, and precipitation values. If the provided data list is empty, resulting in an empty DataFrame, the function handles it by setting: - The 'mean' value to np.nan. - The 'min' value to np.inf. - The 'max' value to -np.inf.
The function should output with:
    result (dict): A dictionary containing:
    'sum': Sum of the values in the specified column.
    'mean': Mean of the values in the specified column.
    'min': Minimum value in the specified column.
    'max': Maximum value in the specified column.
    'plot': A matplotlib BarContainer object of the histogram plot for the specified column.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(column, data):

code prompt

Code

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(column, data):

entry point

task_func

libs

  • pandas
  • numpy
  • matplotlib

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Source and history

task_id
f888ff39-a335-5cea-8be4-b5c62ec70174
task_key
default--v0~2e1~2e0~5fhf--f888ff39-a335-5cea-8be4-b5c62ec70174
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import