benchmarks.wiki / Public workspace
BigCodeBench / BigCodeBench v0.1.0_hf 9c0c43bd-f254-5504-bf17-3ff62abf38d9
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(df):
"""
Perform exploratory data analysis on a dataframe. This function converts the 'date' column to an ordinal format,
creates a correlation matrix, and generates a pair plot of the dataframe.
Parameters:
df (pandas.DataFrame): A dataframe with columns 'group', 'date', and 'value'. The 'date' column should be in datetime format.
Returns:
matplotlib.figure.Figure: The figure object for the correlation matrix heatmap.
seaborn.axisgrid.PairGrid: The PairGrid object for the pair plot.
The title of the plot is 'Correlation Matrix'.
Raises:
ValueError: If the dataframe is empty, if required columns are missing, or if 'date' column is not in datetime format.
Requirements:
- pandas
- matplotlib.pyplot
- seaborn
Example:
>>> df = pd.DataFrame({
... "group": ["A", "A", "A", "B", "B"],
... "date": pd.to_datetime(["2022-01-02", "2022-01-13", "2022-02-01", "2022-02-23", "2022-03-05"]),
... "value": [10, 20, 16, 31, 56],
... })
>>> heatmap_fig, pairplot_grid = task_func(df)
"""
instruct prompt
Perform exploratory data analysis on a dataframe. This function converts the 'date' column to an ordinal format, creates a correlation matrix, and generates a pair plot of the dataframe. The title of the plot is 'Correlation Matrix'.
The function should raise the exception for: ValueError: If the dataframe is empty, if required columns are missing, or if 'date' column is not in datetime format.
The function should output with:
matplotlib.figure.Figure: The figure object for the correlation matrix heatmap.
seaborn.axisgrid.PairGrid: The PairGrid object for the pair plot.
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(df):
code prompt
Code
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(df):
entry point
task_func
libs
- pandas
- matplotlib
- seaborn
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
Code, notes and reproducible work shared by participants. Files are served from a separate origin.
No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
Source and history
initial import