array-broadcasting Questions
3
I am trying to implement a way to cluster points in a test dataset based on their similarity to a sample dataset, using Euclidean distance. The test dataset has 500 points, each point is a N dimens...
Wivinah asked 30/9, 2015 at 2:20
1
Assume we want to compute the dot product of a matrix and a column vector:
So in Numpy/Python here we go:
a=numpy.asarray([[1,2,3], [4,5,6], [7,8,9]])
b=numpy.asarray([[2],[1],[3]])
a.dot(b)
...
Outguess asked 5/1, 2016 at 8:41
1
Solved
I have the following 3rd order tensors. Both tensors matrices the first tensor containing 100 10x9 matrices and the second containing 100 3x10 matrices (which I have just filled with ones for this ...
November asked 30/12, 2015 at 1:52
1
Solved
From an array like db (which will be approximately (1e6, 300)) and a mask = [1, 0, 1] vector, I define the target as a 1 in the first column.
I want to create an out vector that consists of ones w...
Demirelief asked 28/12, 2015 at 15:41
3
Solved
I have an operation that I'm doing commonly which I'm calling a "jagged-slice" because I don't know the real name for it. It's best explained by example:
a = np.random.randn(50, 10)
entries_of_int...
Harvest asked 16/11, 2015 at 12:58
1
Solved
Using the excellent broadcasting rules of numpy you can subtract a shape (3,) array v from a shape (5,3) array X with
X - v
The result is a shape (5,3) array in which each row i is the differen...
Catacaustic asked 12/11, 2015 at 17:5
1
Solved
I have a vector [x,y,z,q] and I want to create a matrix:
[[x,y,z,q],
[x,y,z,q],
[x,y,z,q],
...
[x,y,z,q]]
with m rows. I think this could be done in some smart way, using broadcasting, but I...
Parsnip asked 18/10, 2015 at 16:55
3
Solved
I am attempting to add two arrays.
np.zeros((6,9,20)) + np.array([1,2,3,4,5,6,7,8,9])
I want to get something out that is like
array([[[ 1., 1., 1., ..., 1., 1., 1.],
[ 2., 2., 2., ..., 2., ...
Sirree asked 29/8, 2015 at 7:26
2
Solved
I have a dataframe of shape (4, 3) as following:
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: x = pd.DataFrame(np.random.randn(4, 3), index=np.arange(4))
In [4]: x
Out[4]:
0 ...
Audiology asked 12/8, 2015 at 16:7
2
Solved
In python (using numpy), I can broadcast an array to a different shape:
>>> import numpy as np
>>> a = np.array([2,3,4])
>>> b = np.zeros((3,2))
>>> b[:,:] = np...
Slapup asked 3/2, 2013 at 2:49
1
Solved
Im using python 2.7 and am attempting a forcasting on some random data from 1.00000000 to 3.0000000008. There are approx 196 items in my array and I get the error
ValueError: operands could ...
Tremain asked 8/8, 2012 at 1:34
4
Solved
I want to broadcast an array b to the shape it would take if it were in an arithmetic operation with another array a.
For example, if a.shape = (3,3) and b was a scalar, I want to get an array who...
Barnstorm asked 24/7, 2012 at 0:57
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