BigCodeBench / BigCodeBench v0.1.0_hf d3b90dba-5088-5eb4-8d91-4c1cc1b30fbd

complete prompt

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

def task_func(csv_file_path: str, title: str):
    """
    Create a heatmap of the correlation matrix of a DataFrame built from a CSV file. Round each correlation to 2 decimals.

    Parameters:
    csv_file_path (str): The path to the CSV file containing the input data.
    title (str): The title of the heatmap.

    Returns:
    DataFrame: correlation dataframe where each row and each column correspond to a specific column.
    matplotlib.axes.Axes: The Axes object of the plotted data.

    Requirements:
    - pandas
    - matplotlib.pyplot
    - seaborn

    Example:
    >>> data = "data/task_func/csv_1.csv"
    >>> c, ax = task_func(data, 'Correlation Heatmap')
    """

instruct prompt

Create a heatmap of the correlation matrix of a DataFrame built from a CSV file. Round each correlation to 2 decimals.
The function should output with:
    DataFrame: correlation dataframe where each row and each column correspond to a specific column.
    matplotlib.axes.Axes: The Axes object of the plotted data.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(csv_file_path: str, title: str):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(csv_file_path: str, title: str):

entry point

task_func

libs

• pandas
• matplotlib
• seaborn