Hello everyone, In numpy, why is it ok to do matrix.mean(), but not ok to do matrix.median()? To me, they are two of many summary statistics. So, why median() is different?
Here's an example code, import numpy as np matrix = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) # find the mean np.mean(matrix) # ok matrix.mean() # ok # find the median np.median(matrixA) # ok matrix.median() # throws error message Also, why have two of the same thing: np.mean(matrix) and matrix.mean()? When to use which one? The documentation below looks almost identical! What am I missing here? [1] Median documentation: https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.median.html [2] Mean documentation: https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.mean.html Thank you so much, M -- https://mail.python.org/mailman/listinfo/python-list
