For Pandas Series using the StringDtype extension type, Series.astype(str) causes the data to be copied into a fixed-size Numpy unicode array, which can occur in the following code: memory_allocation ...

import numpy as np arr1 = np.array([1, 2, 3]) # Create an array arr2 = arr1.copy() # Make a copy of the array arr2[0] = 99 # Change a value in the copied array print ...

I have a C extension which maps memory address to a pointer. In this extension, I return this pointer through a memoryview PyMemoryView_FromMemory(char *mem, Py_ssize_t size, int flags). In my python ...