python-scipyHow do I calculate the correlation coefficient in Python using SciPy?

The correlation coefficient can be calculated in Python using SciPy's pearsonr function. This function takes two arrays of equal length and returns the Pearson correlation coefficient and the p-value for testing non-correlation. The Pearson correlation coefficient is a measure of the linear correlation between two variables.

Example code

from scipy.stats import pearsonr
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
corr, p_value = pearsonr(x, y)
print(corr)

Output example

1.0

The code consists of four parts:

1. Importing the Pearson correlation coefficient function from the SciPy package.
2. Defining two arrays of equal length.
3. Calculating the Pearson correlation coefficient and the p-value for testing non-correlation by calling the pearsonr function with the two arrays as arguments.
4. Printing the Pearson correlation coefficient.

Helpful links

• https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html
• https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/correlation-coefficient-formula/

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