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Bitwise information content computation

Project description

Bit-Information-Content Tool

publish

test

Install

python3 -m pip install bitinformation

Examples

Compute bit information

import numpy as np
import bitinformation.bitinformation as bit
data = np.random.rand(10000)  
bi = bit.BitInformation()
bi.bitinformation(data)

Compare data

import numpy as np
import bitinformation.bitinformation as bit
data1 = np.random.rand(10000)  
data2 = np.random.rand(10000)  
res = bit.compare_data(data1, data2)

Compare GRIB files

import numpy as np
import bitinformation.bitinformation as bit
fn1 = "grib.grib"
res = bit.compare_data(data1, data2)

This tool is based on work by Klöwer et. al: https://github.com/milankl/BitInformation.jl

Project details


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