weighted_correlation#
- class brainpy.measure.weighted_correlation(x, y, w, numpy=True)[source]#
Weighted Pearson correlation of two data series.
- Parameters:
x (ndarray) – The data series 1.
y (ndarray) – The data series 2.
w (ndarray) – Weight vector, must have same length as x and y.
numpy (bool) – Whether we use numpy array as the functional output. If
False, this function can be JIT compiled.
- Returns:
corr – Weighted correlation coefficient.
- Return type:
ndarray