Answers for "python find pearson r correlation"

0

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)
Posted by: Guest on August-06-2021
0

how to find correlation in scipy?

>>> result = scipy.stats.linregress(x, y)
>>> result.slope
7.4363636363636365
>>> result.intercept
-85.92727272727274
>>> result.rvalue
0.7586402890911869
>>> result.pvalue
0.010964341301680825
>>> result.stderr
2.257878767543913
Posted by: Guest on June-19-2021

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