cheat sheet

import pandas as pd
import numpy as np

데이터 프레임 = df

features의 특정 feature = feature

 

feature percent (pie chart)

import matplotlib.pyplot as plt 
df.feature.value_counts().plot(kind='pie', autopct='%1.1f%%') # autopct = 비율표시

pandas_profiling (profile report)

!pip install -U pandas-profiling

from pandas_profiling import ProfileReport
df.profile_report()

chi-sqare test (두 변수간 연관성이 있는지 확인)

from scipy.stats import chi2_contingency
# chi2: The test statistic
# p: The p-value of the test
# dof: Degrees of freedom
# expected: The expected frequencies, based on the marginal sums of the table
contigency= pd.crosstab(df['feature'], df['target'])
chi2, p, dof, expected = chi2_contingency(contigency)
p # p값이 0에 가까울수록 연관성이 있음