"print_matrix" always print integral value of cost matrix

[etanot]

When I enter cost values in floating point form inside cost matrix, print_matrix function treats those values as integer and print only integral part of the values. I run this code:

from munkres import Munkres, print_matrix

matrix = [[5.1, 9.6, 1.7],
          [10.2, 3.5, 2.8],
          [8.3, 7.4, 4.9]]
m = Munkres()
indexes = m.compute(matrix)
print_matrix(matrix, msg='Lowest cost through this matrix:')
total = 0
for row, column in indexes:
    value = matrix[row][column]
    total += value
    print(f'({row}, {column}) -> {value}')
print(f'total cost: {total}')

Output is as follows:

Lowest cost through this matrix:
[   5,    9,    1]
[  10,    3,    2]
[   8,    7,    4]
(0, 0) -> 5.1
(1, 1) -> 3.5
(2, 2) -> 4.9
total cost: 13.5

See matrix printed by print_matrix function isn't same matrix as given in code that's it only has integral part with them, although total cost calculation is correct. Is it a expected behavior of print_matrix function? Because it's not always the case, cost matrix would have all value in integral form.

[etanot]

I think this can be fixed by replacing 'd' with 's' in line L#517, or even when can remove whole if/else loop and replace it with single statement formatted = ((format + 's') % val). If you're agree, I can make a pull request for this.

Edit:
Using latter solution is a bad idea because printed matrix looks ugly, value of DISALLOWED object is printed in object form (<munkres.DISALLOWED_OBJ object at 0x7f424cbdab00>), see below:

Instance

matrix = [[5.2, 9.3, DISALLOWED],
          [10.1, DISALLOWED, 2.1],
          [8.4, 7.5, 4.6]]

Result

Highest profit through this matrix:
[ 5.2,  9.3, <munkres.DISALLOWED_OBJ object at 0x7f424cbdab00>]
[10.1, <munkres.DISALLOWED_OBJ object at 0x7f424cbdab00>,  2.1]
[ 8.4,  7.5,  4.6]
(0, 0) -> 5.2
(1, 2) -> 2.1
(2, 1) -> 7.5
total profit=14.8

So sticking to former solution, i.e. replacing d with s.

[etanot]

@bmc, sorry for directly pinging you. Can you comment something on this issue? I would like to fix this issue.

[bmc]

Sorry. I haven't used this package myself in years. I'm find with the fix. I'll merge any PR and upload again to PyPI.