Styjun

Is it a Munchausen Number?

Fee negotiations in Lightning

Does Thread.yield() do anything if we have enough processors to service all threads?

Libertine font numbers have a different height than text

Pre-1993 comic in which Wolverine's claws were turned to rubber?

Why is there a cap on 401k contributions?

Was there a contingency plan in place if Little Boy failed to detonate?

Which spells are in some way related to shadows or the Shadowfell?

What's an appropriate age to involve kids in life changing decisions?

Are on’yomi words loanwords?

Is there a need for better software for writers?

My perfect evil overlord plan... or is it?

What is the radius of the circle in this problem?

Can the president of the United States be guilty of insider trading?

Unicode-math and mathrm result in missing symbols

How can I make parentheses stick to formula?

Do Monks gain the 9th level Unarmored Movement benefit when wearing armor or using a shield?

"Estrontium" on poster

Passport stamps art, can it be done?

Employee is self-centered and affects the team negatively

Examples where existence is harder than evaluation

Locked my sa user out

Why did Missandei say this?

Why was Sam Wilson chosen for this, but not Bucky?

3-D numpy matrix multiplication in numpy to get 1 D array

How to get the current time in PythonGetting the last element of a list in PythonHow do I get the number of elements in a list in Python?Peak detection in a 2D arrayDump a NumPy array into a csv fileCatch multiple exceptions in one line (except block)Numpy matrix multiplication with array of matricesUnexpected output in for loopMultiply array of vectors with array of matrices; return array of vectors?Matrix multiplication for multidimensional matrix (/array) - how to avoid loop?

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;

1

I've 2 3-D matrix of this form:

a = np.random.randint(0, 100, size=(3, 4, 3))

b = np.random.normal(0, 1, size=(3,3, 4))

I want to multiply these 2 matrices, in such a way that I get a matrix of this form:

a_b = np.random.normal(0,1,size = (3,1))

I can change the matrix shape of b in anyway to get a_b shape. E.g. I can make b 2X2 matrix or change the shape of the matrix in any other way.

Can someone please guide me?

Thanks!

python numpy matrix

share|improve this question

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  I don't think pure multiplication can get you to that shape without some kind of aggregation like summation...
  
  – gmds
  Mar 23 at 8:23
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  (a) When you say "I want to multiply" do you really mean "multiply" as in matrix multiplication, or do you mean "somehow combine" ? (b) Normal matrix multiplication can never get you what you have asked for because the first matrix has values ranging from 1 to 100 and the second has values ranging from 0 to 1, and you are asking for the result to have values from 0 to 1. (c) Do you want the numbers in a_b to have normal distribution? (That's what your current phrasing of the question seems to imply)
  
  – fountainhead
  Mar 23 at 9:12
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @fountainhead: Thanks for your interest to my question! a) I want to multiply the 2 matrices. b) The matrix a_b can have any values. I just used np.random.normal to show the dimension and how the final matrix will look like. It's an example. c) No. I don't want it to be normally distributed. It will be multiplication of 2 matrices. So, it can have any values. Thanks!
  
  – Beta
  Mar 23 at 9:17
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  As mentioned by @gmds, no matter what shape your b is, given that a is of shape (3,4,3), I don't think you can ever get a shape (3,1) by normal matrix multiplication.
  
  – fountainhead
  Mar 23 at 9:42
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @fountainhead: Thanks for reply. I'll not spend time on this problem anymore then.
  
  – Beta
  Mar 23 at 10:08
  

  
  
  
  

add a comment | 

1

I've 2 3-D matrix of this form:

a = np.random.randint(0, 100, size=(3, 4, 3))

b = np.random.normal(0, 1, size=(3,3, 4))

I want to multiply these 2 matrices, in such a way that I get a matrix of this form:

a_b = np.random.normal(0,1,size = (3,1))

I can change the matrix shape of b in anyway to get a_b shape. E.g. I can make b 2X2 matrix or change the shape of the matrix in any other way.

Can someone please guide me?

Thanks!

python numpy matrix

share|improve this question

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  I don't think pure multiplication can get you to that shape without some kind of aggregation like summation...
  
  – gmds
  Mar 23 at 8:23
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  (a) When you say "I want to multiply" do you really mean "multiply" as in matrix multiplication, or do you mean "somehow combine" ? (b) Normal matrix multiplication can never get you what you have asked for because the first matrix has values ranging from 1 to 100 and the second has values ranging from 0 to 1, and you are asking for the result to have values from 0 to 1. (c) Do you want the numbers in a_b to have normal distribution? (That's what your current phrasing of the question seems to imply)
  
  – fountainhead
  Mar 23 at 9:12
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @fountainhead: Thanks for your interest to my question! a) I want to multiply the 2 matrices. b) The matrix a_b can have any values. I just used np.random.normal to show the dimension and how the final matrix will look like. It's an example. c) No. I don't want it to be normally distributed. It will be multiplication of 2 matrices. So, it can have any values. Thanks!
  
  – Beta
  Mar 23 at 9:17
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  As mentioned by @gmds, no matter what shape your b is, given that a is of shape (3,4,3), I don't think you can ever get a shape (3,1) by normal matrix multiplication.
  
  – fountainhead
  Mar 23 at 9:42
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @fountainhead: Thanks for reply. I'll not spend time on this problem anymore then.
  
  – Beta
  Mar 23 at 10:08
  

  
  
  
  

add a comment | 

I've 2 3-D matrix of this form:

a = np.random.randint(0, 100, size=(3, 4, 3))

b = np.random.normal(0, 1, size=(3,3, 4))

I want to multiply these 2 matrices, in such a way that I get a matrix of this form:

a_b = np.random.normal(0,1,size = (3,1))

I can change the matrix shape of b in anyway to get a_b shape. E.g. I can make b 2X2 matrix or change the shape of the matrix in any other way.

Can someone please guide me?

Thanks!

python numpy matrix

share|improve this question

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

share|improve this question

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

share|improve this question

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

edited Mar 23 at 8:20

AkshayNevrekar

6,460102243

asked Mar 23 at 8:18

BetaBeta

59341949

asked Mar 23 at 8:18

BetaBeta

59341949