Suppose I have an array [1,2,3,4,5,6,7,8], and the array is composed of two samples [1,2,3,4], and [5,6,7,8]. For each sample, I want to do a slicing window with window size n. And if there are not enough elements, pad the result with the last…
I have been looking over and interpreting some sample code and am having some trouble understanding what is going on with a bit of slicing syntax. For some context I am working on a computational program that uses method of finite differences…
Let's say I want to select a value from a different column for each row. Then, I might do something like this:
a = np.arange(12).reshape(3, 4)
columns = np.array([1, 2, 0])
a[np.arange(a.shape[0]), columns]
It seems a bit 'ugly' to me to need to…
This has bitten me a few times, and I can't tell if it's a bug or a feature.
nums = np.arange(10)
indx1 = np.array([2,4,6,8])
indx2 = np.array([0,3])
It looks like I can index nums either way
nums[indx1][indx2], nums[indx1[indx2]]
outputs…
I separated the 3 channels of an colour image. I created a new NumPy array of the same size as the image, and stored the 3 channels of the image into 3 slices of the 3D NumPy array. After plotting the NumPy array, the plotted image is not same as…
I have a simple numpy array. I want to select all rows but 1st and 6th
I tried:
temp = np.array([1,2,3,4,5,6,7,8,9])
t = temp[~[0,5]]
I get the following error:
TypeError: bad operand type for unary ~: 'list'
What is the correct way to do this?
I have numpy.array pf shape (64 , 64 , 64)
I would like to split it on to 3 variables ,so
x.shape ==> (64)
y.shape ==> (64)
z.shape ==> (64)
as each dim represent voxels coordinate (x,y,z) , I tried use dsplit() but no luck. any suggestion?
I would like to know the best way of extacting chunks of elements from a 2D numpy array that has been flattened. See example python code below which hopefully explains what I want to do a little better.
import numpy as np
nx = 5
nz = 7
numGPs =…
I have a 3D array and a 2D array of indices. How can I select on the last axis?
import numpy as np
# example array
shape = (4,3,2)
x = np.random.uniform(0,1, shape)
# indices
idx = np.random.randint(0,shape[-1], shape[:-1])
Here is a loop that…
I want to run test for numpy library in my local machine but when I simple testing command
like this command
python runtests.py -v
I am keep getting following error
`
Building, see build.log...
Traceback (most recent call last):
File…
I currently have a dataframe formatted as such:
a b c e f
2 3 4 5 1
9 8 6 4 6
1 2 2 2 3
9 8 8 9 1
3 6 8 6 2
. . . . .
. . . . .
7 5 4 1 8
My goal is to apply an adaptive weight function over the last n(4) games in a sliding window. On…
I have a multidimentional numpy array of elasticities with one of the dimensions being "age-groups" (0-92 years) and the other "income-groups" (low/high income).
I would like to create a table with the mean elasticities for each combination of…