Simple way to create matrix of random numbers

Question

I am trying to create a matrix of random numbers  but my solution is too long and looks ugly  random matrix     random random   for e in range 2   for e in range 3     this looks ok  but in my implementation it is  weights h     random random   for e in range len inputs 0     for e in range hiden neurons     which is extremely unreadable and does not fit on one line

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Looks like you are doing a Python implementation of the Coursera Machine Learning Neural Network exercise  Here s what I did for randInitializeWeights L in  L out    get a random array of floats between 0 and 1 as Pavel mentioned  W   numpy random random  L out  L in  1     normalize so that it spans a range of twice epsilon W   W   2   epsilon   shift so that mean is at zero W   W - epsilon

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random matrix     random random for j in range collumns   for i in range rows  for i in range rows       print random matrix i

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You can drop the range len      weights h     random random   for e in inputs 0   for e in range hiden neurons     But really  you should probably use numpy   In  9   numpy random random  3  3   Out 9   array    0 37052381   0 03463207   0 10669077            0 05862909   0 8515325    0 79809676            0 43203632   0 54633635   0 09076408

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For creating an array of random numbers NumPy provides array creation using    Real numbers Integers   For creating array using random Real numbers  there are 2 options   random rand  for uniform distribution of the generated random numbers   random randn  for normal distribution of the generated random numbers     random rand  import numpy as np  arr   np random rand row size  column size     random randn  import numpy as np  arr   np random randn row size  column size     For creating array using random Integers    import numpy as np numpy random randint low  high None  size None  dtype  l     where    low   Lowest  signed  integer to be drawn from the distribution high optional   If provided  one above the largest  signed  integer to be drawn from the distribution size optional    Output shape i e  if the given shape is  e g    m  n  k   then m   n   k samples are drawn dtype optional    Desired dtype of the result     eg   The given example will produce an array of random integers between  0 and 4  its size will be 5 5 and have 25 integers  arr2   np random randint 0 5 size    5 5     in order to create 5 by 5 matrix  it should be modified to  arr2   np random randint 0 5 size    5 5    change the multiplication symbol  to a comma          2 1 1 0 1  3 2 1 4 3  2 3 0 3 3  1 3 1 0 0  4 1 2 0 1     eg2   The given example will produce an array of random integers between  0 and 1  its size will be 1 10 and will have 10 integers   arr3  np random randint 2  size   10        0 0 0 0 1 1 0 0 1 1

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An answer using map-reduce -  map lambda x  map lambda y  ran   range len inputs 0     range hiden neurons

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use np random randint   as np random random integers   is deprecated random matrix   np random randint min val max val   lt num rows gt   lt num cols gt

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A simple way of creating an array of random integers is   matrix   np random randint maxVal  size  rows  columns     The following outputs a 2 by 3 matrix of random integers from 0 to 10   a   np random randint 10  size  2 3

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First  create numpy array then convert it into matrix  See the code below   import numpy  B   numpy random random  3  4    its ndArray C   numpy matrix B   it is matrix print type B   print type C    print C

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this is a function for a square matrix so on the while loop rows does not have to be less than cols   you can make your own condition  But if you want your a square matrix  use this code   import random  import numpy as np  def random matrix R  cols            matrix               rows    0          while  rows  lt  cols               N   random sample R  cols               matrix append N               rows   rows   1      return np array matrix   print random matrix range 10   5    make sure you understand the function random sample

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Take a look at numpy random rand      Docstring  rand d0  d1       dn       Random values in a given shape       Create an array of the given shape and propagate it with random   samples from a uniform distribution over  0  1        gt  gt  gt  import numpy as np  gt  gt  gt  np random rand 2 3  array    0 22568268   0 0053246    0 41282024            0 68824936   0 68086462   0 6854153

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x   np int  np random rand 10    10    For random numbers out of 10  For out of 20 we have to multiply by 20

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When you say  a matrix of random numbers   you can use numpy as Pavel https   stackoverflow com a 15451997 6169225 mentioned above  in this case I m assuming to you it is irrelevant what distribution these  pseudo  random numbers adhere to   However  if you require a particular distribution  I imagine you are interested in the uniform distribution   numpy random has very useful methods for you  For example  let s say you want a 3x2 matrix with a pseudo random uniform distribution bounded by  low high   You can do this like so   numpy random uniform low high  3 2     Note  you can replace uniform by any number of distributions supported by this library   Further reading  https   docs scipy org doc numpy reference routines random html

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numpy random rand row  column  generates random numbers between 0 and 1  according to the specified  m n  parameters given  So use it to create a  m n  matrix and multiply the matrix for the range limit and sum it with the high limit   Analyzing  If zero is generated just the low limit will be held  but if one is generated just the high limit will be held  In order words  generating the limits using rand numpy you can generate the extreme desired numbers   import numpy as np  high   10 low   5 m n   2 2  a    high - low  np random rand m n    low   Output   a   array   5 91580065  8 1117106               6 30986984  5 720437

[python] Simple way to create matrix of random numbers

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