Let me illustrate this question with an example:
matrix = numpy.identity(5, dtype=bool) #Using identity as a convenient way to create an array with the invariant that there will only be one ...
I'm using NumPy with Python 2.6.2. I'm trying to create a small (length 3), simple boolean array. The following gives me a MemoryError, which I think it ought not to.
import numpy ...
import numpy as np
array = get_array()
for i in range(len(array)):
if random.uniform(0, 1) < prob:
Is there a way in numpy to create an array of booleans that uses just 1 bit for each entry?
the standard np.bool type is 1 byte, but this way I use ...
NumPy arrays can be indexed with an array of booleans to select the rows corresponding to True entries:
>>> X = np.array([[1,2,3], [4,5,6], [7,8,9]])
>>> rows = np.array([True,False,True])
array([[1, 2, 3],
I have hundreds of thousands of NumPy boolean arrays that I would like to use as keys to a dictionary. (The values of this dictionary are the number of times we've ...
Why does this work:
Is there an efficient Numpy mechanism to retrieve the integer indexes of locations in an array based on a condition is true as opposed to the Boolean mask array?
#generate a ...