Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

median of np.matrix is broken

See original GitHub issue

>>> import numpy as np                                                          
>>> a = np.matrix([[0, 1, 2]])                                                  
>>> np.mean(a)                                                                  
1.0
>>> np.median(a)                                                                
Traceback (most recent call last):
[...]
/numpy/core/fromnumeric.py", line 619, in partition
    a.partition(kth, axis=axis, kind=kind, order=order)
ValueError: kth(=1) out of bounds (1)

Issue Analytics

State:
Created 10 years ago
Comments:5 (4 by maintainers)

Top GitHub Comments

1reaction

dipsivenkateshcommented, Mar 24, 2022

Reproducing Bug:

This bug seems to exist when we compute median for NumPy matrix, and that too when we don’t specify the axis.

a = np.matrix([[0,1,2],[3,4,5]])
>>> np.median(a)
matrix([[0., 1., 2., 3., 4., 5.]])
>>> np.median(a,axis = 1)
matrix([[1.],
        [4.]])
>>> np.median(a,axis = 0)
matrix([[1.5, 2.5, 3.5]])

for numpy array, it flattens the array and computes the median but for the matrix it’s not.

0reactions

charriscommented, Jan 1, 2017

Heh, still present in 1.12.