nctoolkit.DataSet.cor_time

DataSet.cor_time(self, var1=None, var2=None)

Calculate the correlation correct in time between two variables The correlation is calculated for each grid cell, ignoring missing values.

Parameters
  • var1 (str) – The first variable

  • var2 (str) – The second variable

Examples

If you wanted to calculate the temporal correlation coefficient between variables x and y in a dataset, you would do this:

>>> ds.cor_space("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.