Reshape « numpy « Python Data Type Q&A

1. Numpy: Reshaping this array in the least number of operations    stackoverflow.com

I have an array with 112 lines and 40 columns. The format I need to convert to is 40 sets of 56 points each with x, y. So, the first line has the ...

2. numpy and pil reshape arrays    stackoverflow.com

pil to numpy conversion leads to arrays like:

a = array([ [[r,g,b],[r,g,b].....[r,g,b],[r,g,b]]  ,  [[r,g,b],[r,g,b.....]] , int8)

a[0] = [[r,g,b],[r,g,b].....[r,g,b],[r,g,b]] = first row

3. numpy: efficient execution of a complex reshape of an array    stackoverflow.com

I am reading a vendor-provided large binary array into a 2D numpy array tempfid(M, N)

# load data
data=numpy.fromfile(file=dirname+'/fid', dtype=numpy.dtype('i4'))

# convert to complex data
fid=data[::2]+1j*data[1::2]

tempfid=fid.reshape(I*J*K, N)

4. Array subtraction and/or reshaping    stackoverflow.com

I would like some help with a problem. In Python:

a=array([2,2])
b=ones((2,10))

5. Reshaping a numpy array in python    stackoverflow.com

I have a 48x365 element numpy array where each element is a list containing 3 integers. I want to be able to turn it into a 1x17520 array with all the ...

6. Reshape for array multiplication/division in python    stackoverflow.com

I'm encountering an annoying shape mismatch issue when I'm working with arrays that are the same length, but one is only width one. For example:

import numpy as np
x = np.ones(80)
y ...