See the code:
import objgraph
import numpy as np
objgraph.show_growth()
j = 20
y = []
for i in range(5):
for l in range(j):
y.append(np.array([np.ran
I'm not that familiar with objgraph
specifically, but I think the same issue applies to other Python heap analysis tools such as heapy.
Numpy arrays are implemented in C, and do their own reference counting by internally calling Py_INCREF
and Py_DECREF
. As such, they are not tracked by the Python garbage collector. Tools like heapy
and (presumably) objgraph
use the Python garbage collector to track references to objects, so as a result numpy arrays are invisible to them.