Problem Table Output

[Phil]

For the first Columns it is already working very well.

so actually i have it like this now:

import numpy as np  
import math
import sys
import argparse
  
  
B = 0.30 # Layer thickness

# inputdata
m = 3 # numbers of Layer
s = 10 # Steps for one Layer

Z = 0.30 # Z-value
z1= 0.30
z2= B*m
  
i=1 # variable for Lines
n=1 # Layer counter
Typ = 0
L1_max = 2
L1_Step = L1_max/s

S_2 = s
 

whole_table = np.zeros([0, 5]) # 3 columns, 0 rows
  
while n<= m:
     
    #for g in range(1, m, 1):        
              
    I = np.linspace(i , S_2 , s, dtype=int)

   
   # L1 = np.linspace(0 , L1_max, s) #??
    #L1 = np.linspace(2 , -L1_max, s) #??
    L1 = np.linspace(-2 , +L1_max, s)
  

    table = np.zeros((s, 5) )  # np.zeros(shape, dtype=float, order='C')
 
    table[:,0] = I
    table[:,1] = Z 
    table[:,2] = L1
    table[:,3] = n
    table[:,4] = Typ
 	


    whole_table = np.concatenate( (whole_table, table), axis=0)
 
    
    n += 1
    Z += B
 
    # added lines
    i += s
    S_2 += s
 
 
print(whole_table)
  
fmt = ['%i'] +  ['%.1f'] + ['%.4f'] + ['%i'] * 2
np.savetxt("Loop.txt", whole_table, fmt = fmt )

Output:

Output:
[[ 1.          0.3        -2.          1.          0.        ]
 [ 2.          0.3        -1.55555556  1.          0.        ]
 [ 3.          0.3        -1.11111111  1.          0.        ]
 [ 4.          0.3        -0.66666667  1.          0.        ]
 [ 5.          0.3        -0.22222222  1.          0.        ]
 [ 6.          0.3         0.22222222  1.          0.        ]
 [ 7.          0.3         0.66666667  1.          0.        ]
 [ 8.          0.3         1.11111111  1.          0.        ]
 [ 9.          0.3         1.55555556  1.          0.        ]
 [10.          0.3         2.          1.          0.        ]
 [11.          0.6        -2.          2.          0.        ]
 [12.          0.6        -1.55555556  2.          0.        ]
 [13.          0.6        -1.11111111  2.          0.        ]
 [14.          0.6        -0.66666667  2.          0.        ]
 [15.          0.6        -0.22222222  2.          0.        ]
 [16.          0.6         0.22222222  2.          0.        ]
 [17.          0.6         0.66666667  2.          0.        ]
 [18.          0.6         1.11111111  2.          0.        ]
 [19.          0.6         1.55555556  2.          0.        ]
 [20.          0.6         2.          2.          0.        ]
 [21.          0.9        -2.          3.          0.        ]
 [22.          0.9        -1.55555556  3.          0.        ]
 [23.          0.9        -1.11111111  3.          0.        ]
 [24.          0.9        -0.66666667  3.          0.        ]
 [25.          0.9        -0.22222222  3.          0.        ]
 [26.          0.9         0.22222222  3.          0.        ]
 [27.          0.9         0.66666667  3.          0.        ]
 [28.          0.9         1.11111111  3.          0.        ]
 [29.          0.9         1.55555556  3.          0.        ]
 [30.          0.9         2.          3.          0.        ]]

But the third column seems to be a little bit more difficult.
Do you have an Idea here?
I would like to have the possibility to count in this column from o tu L_max and than to -L_max.
So should look like this:

Output:
  1.          0.3        0.000  1.          0.        
  2.          0.3        0.222	1.          0.        
  3.          0.3        0.444  1.          0.        
  4.          0.3        0.667	1.          0.        
  5.          0.3        0.889  1.          0.        
  6.          0.3        1.111  1.          0.        
  7.          0.3        1.333  1.          0.        
  8.          0.3        1.556	1.          0.        
  9.          0.3        1.778  1.          0.        
 10.          0.3        2.000  1.          0.        
 11.          0.6        2.000  2.          0.        
 12.          0.6        1.778  2.          0.        
 13.          0.6        1.556	2.          0.        
 14.          0.6        1.333	2.          0.        
 15.          0.6        1.111  2.          0.        
 16.          0.6        0.889  2.          0.        
 17.          0.6        0.667  2.          0.        
 18.          0.6        0.444  2.          0.        
 19.          0.6        0.222	2.          0.        
 20.          0.6        0.000  2.          0.        
 21.          0.9        0.000  3.          0.        
 22.          0.9        -0.222	3.          0.        
 23.          0.9        -0.444	3.          0.        
 24.          0.9        -0.667	3.          0.        
 25.          0.9        -0.889	3.          0.        
 26.          0.9        -1.111	3.          0.        
 27.          0.9        -1.333	3.          0.        
 28.          0.9        -1.556	3.          0.        
 29.          0.9        -1.778	3.          0.        
 30.          0.9        -2.000	3.          0.