BigCodeBench / BigCodeBench v0.1.0_hf 98d53918-ee4c-5da3-914e-7f0faa69d224

complete prompt

import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
import seaborn as sns
import matplotlib.pyplot as plt

def task_func(df: pd.DataFrame):
    """
    Perform PCA on a DataFrame (excluding non-numeric columns) and draw a scatter plot of the first two main components. The principal columns should be name 'Component 1' and 'Component 2'.
    Missing values are replaced by column's average.

    Parameters:
    df (DataFrame): The pandas DataFrame.

    Returns:
    DataFrame: A pandas DataFrame with the first two principal components. The columns should be 'principal component 1' and 'principal component 2'.
    Axes: A matplotlib Axes object representing the scatter plot. The xlabel should be 'principal component' and the ylabel 'principal component 2'.

    Requirements:
    - pandas
    - numpy
    - sklearn.decomposition.PCA
    - seaborn
    - matplotlib

    Example:
    >>> df = pd.DataFrame([[1,2,3],[4,5,6],[7.0,np.nan,9.0]], columns=["c1","c2","c3"])
    >>> principalDf, ax = task_func(df)
    >>> print(principalDf)
       Component 1  Component 2
    0     4.450915    -0.662840
    1    -0.286236     1.472436
    2    -4.164679    -0.809596
    """

instruct prompt

Perform PCA on a DataFrame (excluding non-numeric columns) and draw a scatter plot of the first two main components. The principal columns should be name 'Component 1' and 'Component 2'. Missing values are replaced by column's average.
The function should output with:
    DataFrame: A pandas DataFrame with the first two principal components. The columns should be 'principal component 1' and 'principal component 2'.
    Axes: A matplotlib Axes object representing the scatter plot. The xlabel should be 'principal component' and the ylabel 'principal component 2'.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
import seaborn as sns
import matplotlib.pyplot as plt
def task_func(df: pd.DataFrame):

code prompt

Code

import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
import seaborn as sns
import matplotlib.pyplot as plt
def task_func(df: pd.DataFrame):

entry point

task_func

libs

• pandas
• matplotlib
• numpy
• sklearn
• seaborn