CODEWITHSUNDEEP
stringnumpy
bFig8
bFig8

Reputation: 427

Numpy Integer Array to Hex String Array without "0x"

array([(1, 1, 0, 2, 240), (1, 1, 0, 255, 255), (1, 1, 0, 255, 255), ...,
       (1, 1, 0, 255, 255), (1, 1, 0, 255, 255), (1, 1, 0, 255, 60)],
      dtype=[('A','u1'), ('B','u1'), ('C','u1'), ('D','u1'), ('E','u1')])

I have a numpy array as shown above and I want to print them to a file in HEX like so:

1 1 0 02 EF
1 1 0 FF FF
...
1 1 0 FF FF
1 1 0 FF 3C

The integer values of the left most 3 columns are only 0 and 1 so they should only have 1 HEX characters. The rightmost 2 columns both should have 2 HEX characters even if their integer value requires only 1. The "0x" prefix should be omitted.

The straightforward way is to use for loop and format the strings but the data set is huge and it takes a very long time to complete. Is there a fast numpy way to do build the string array and then output it to file?

Upvotes: 1

Views: 506

Answers (1)

bFig8
bFig8

Reputation: 427

Ok I did some more work on this and I found this solution that worked for me:

numpy.savetxt("my_file.txt", my_numpy_structured_array, delimiter=" ", fmt="%x %x %x %02x %02x")

Upvotes: 1

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