- DataSet.cor_time(var1=None, var2=None)#
cor_time: Calculate the correlation correct in time between two variables
The correlation is calculated for each grid cell, ignoring missing values. This calculates the Pearson correlation coefficient.
var1 (str) – The first variable
var2 (str) – The second variable
If you wanted to calculate the temporal correlation coefficient between variables x and y in a dataset, you would do this:
>>> ds.cor_time("x", "y")
The correlation coefficient will be calculated for each grid cell. This method will indicate how temporally correlated variables are in different spatial regions.