In Python, how can I calculate correlation and statistical significance between two arrays of data?

Christos Hayward picture Christos Hayward · Jun 20, 2012 · Viewed 13.8k times · Source

I have sets of data with two equally long arrays of data, or I can make an array of two-item entries, and I would like to calculate the correlation and statistical significance represented by the data (which may be tightly correlated, or may have no statistically significant correlation).

I am programming in Python and have scipy and numpy installed. I looked and found Calculating Pearson correlation and significance in Python, but that seems to want the data to be manipulated so it falls into a specified range.

What is the proper way to, I assume, ask scipy or numpy to give me the correlation and statistical significance of two arrays?

Answer

cjohnson318 picture cjohnson318 · Jun 20, 2012

If you want to calculate the Pearson Correlation Coefficient, then scipy.stats.pearsonr is the way to go; although, the significance is only meaningful for larger data sets. This function does not require the data to be manipulated to fall into a specified range. The value for the correlation falls in the interval [-1,1], perhaps that was the confusion?

If the significance is not terribly important, you can use numpy.corrcoef().

The Mahalanobis distance does take into account the correlation between two arrays, but it provides a distance measure, not a correlation. (Mathematically, the Mahalanobis distance is not a true distance function; nevertheless, it can be used as such in certain contexts to great advantage.)