Answers for "get p values with correlation python"

python calculate correlation

# For a measure the strength of association between two variables;
import numpy as np
from scipy.stats import spearmanr, pearsonr, kendalltau
serie1 = np.array([-2, -1, 0, 1, 4])
serie2 = np.array([-2.5, -.75, 1, 2, 6])
 
# linear ==> Pearson
pearsonr(serie1, serie2)
pearsonrResult(correlation=0.9964803994464919, pvalue=0.0002505212149642603)

# Non-linear ==> Spearman or kendall 
spearmanr(serie1, serie2)
SpearmanrResult(correlation=0.9999999999999999, pvalue=1.4042654220543672e-24)
kendalltau(serie1, serie2)
KendalltauResult(correlation=0.9999999999999999, pvalue=0.016666666666666666)

correlation with target variable python

import seaborn as sns 
df = sns.load_dataset('iris')
#find corr with 'sepal_length'. This can be any valid column 
df.corr()['sepal_length']