npy-append-array 0.9.6

Create Numpy NPY files that are larger than the main memory

NpyAppendArray

Create Numpy NPY files that are larger than the main memory of the machine by appending on the zero axis. The file can then be read with mmap_mode="r".

Installation

pip install npy-append-array

Usage

from npy_append_array import NpyAppendArray
import numpy as np

arr1 = np.array([[1,2],[3,4]])
arr2 = np.array([[1,2],[3,4],[5,6]])

filename='out.npy'

# Appending to an array created by np.save is possible, but can fail in certain
# corner cases: e.g. a record as dtype, dim surpassing a critical threshold.
# Initialize the array with npaa.append directly (see below) so the
# header will be created with 64 byte of spare header space for growth.

# np.save(filename, arr1)

npaa = NpyAppendArray(filename)
npaa.append(arr1)
npaa.append(arr2)
npaa.append(arr2)

data = np.load(filename, mmap_mode="r")

print(data)

Limitations

1. Only tested with Linux. For Windows, consider using WSL (version 2 or above).
2. Exception thrown when Fortran order is used.
3. NPY version 3 is unsupported because there is no numpy.lib.format.read_array_header_3_0 function defined in https://numpy.org/devdocs/reference/generated/numpy.lib.format.html