Python numpy array assign values to each column according to row -


I want to specify line-specific values ​​in each row in the 2D numerical array. Specifically, each row should have the value of reciprocal of its line number. In other words, all the columns in line 1 should have a value of 1, all columns in line 2 should be 1/2, all should be 1/3 in row 3, and so on. I tried this: For curr_n in category (n): 

  m = 3 n = 10 train = np.empty ([n, m], float): train [curr_n,: ] = 1 / (curr_n + 1) print train   
 but the output is:  
  [[1. 1. []. 0. 0] [0. 0. 0.] [0. 0. 0.] [0. 0. [0.. 0. 0.] [0. 0. 0.] [0. 0. 0.] [0. 0. 0.] [0. 0. 0.]]   
 What am I doing wrong? I used "float" at the beginning, but I am still getting a solid 0 integer for all but the first line.   
 
 
 Full type of conversion has been added to Python 3, so your original code will work, As:  
  __future__ from import partition = 3 n = 10 train = np.empty [n, m], float) for curr_n in category (n): train [curr_n,:] = 1 / (curr_n + 1) Print Train   
  __future___  module can be viewed in official docs  
 Or, as in their reply sshashank124 and I put a comment Minister, you can use to apply the float behavior 1 or 1.0.

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