Dynamically growable Numpy arrays. They function exactly like normal numpy arrays, but support appending new elements.
Simply install from PyPI: pip install dynarray
Create an empty one-dimensional array and append elements to it:
from dynarray import DynamicArray
array = DynamicArray()
for element in range(10):
array.append(element)Create a multidimensional array and append rows:
from dynarray import DynamicArray
# The leading dimension is None to denote that this is
# the dynamic dimension
array = DynamicArray((None, 20, 10))
array.append(np.random.random((20, 10)))
array.extend(np.random.random((100, 20, 10)))
print(array.shape) # (101, 20, 10)Slice and perform arithmetic like with normal numpy arrays:
from dynarray import DynamicArray
array = DynamicArray(np.ones((100, 10)), dtype=np.float16)
assert array[10:11].sum() == 10.0
print(array[10])
array[10] *= 0.0
assert array[10].sum() == 0.0Shrink to fit to minimize memory usage when no further resizing is needed:
from dynarray import DynamicArray
array = DynamicArray(np.ones((100, 10)), dtype=np.float16)
array.extend(np.ones((50, 10)))
assert array.capacity == 200
array.shrink_to_fit()
assert array.capacity == 150