NumPy Reads Binary Data Incorrectly?

Question

I'm working with a binary file "uint64.bin" whose entire contents can be represented by: 0x0f2d1e6002df9000

My python code is as follows:

import numpy as np
import pandas as pd

my_dtype = np.dtype([('mytag','>u8')])
with open("uint64.bin", 'rb') as fh:
    data = np.fromfile(file=fh, dtype=my_dtype)
df = pd.DataFrame(data, columns=data.dtype.names)
print(df.get_values()[0])

What prints is 1093563682234798080 whereas the output should be 1093563682234798100 (the difference is in the 0x14 bits). What's going on?

I'm on Windows 64-bit and using Python 3.7.

John Zwinck · Accepted Answer · 2019-10-05 02:07:46Z

1

Just do print(0x0f2d1e6002df9000) in Python. It gives you:

1093563682234798080

So the answer you're getting is correct, your assumption about what it should be is incorrect.

answered Oct 5, 2019 at 2:07

John Zwinck

252k44 gold badges346 silver badges459 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

NumPy Reads Binary Data Incorrectly?

1 Answer 1

Comments

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Related