RobBlackwell

Keybase proof

I hereby claim:

• I am robblackwell on github.
• I am robblackwell (https://keybase.io/robblackwell) on keybase.
• I have a public key ASCKTiK-mr2e19Jzs6EwX2MserBJYFoa0_EY1j7gEhXNUAo

To claim this, I am signing this object:

RobBlackwell

/*
Si5351 VFO

By LA3PNA  27 March 2015
Modified by NT7S  25 April 2015

Modified to be Si5351 Arduino v2 compliant by NT7S  21 Nov 2016

Added LiquidCrystal_I2C support, M0NIL, December 2020. 

RobBlackwell

Patch Julia

find /nix -name '*ld-linux-x86-64.so.2'
/nix/store/68sa3m89shpfaqq1b9xp5p1360vqhwx6-glibc-2.25/lib/ld-linux-x86-64.so.2

set -x the_interpreter "/nix/store/68sa3m89shpfaqq1b9xp5p1360vqhwx6-glibc-2.25/lib/ld-linux-x86-64.so.2"

patchelf --set-interpreter $the_interpreter julia

RobBlackwell

using Glob
using CSVFiles
using DataFrames

filenames = glob("*.csv")

function load_dataframes(filenames)
    df = DataFrame(CSVFiles.load(filenames[1]))
    for filename in filenames[2:end]
        df2 = DataFrame(CSVFiles.load(filename))

RobBlackwell

"""
     column_vectors(A)

Given a two dimensional array `A` of size `m` x `n`, return an array
of `n` vectors being the columns in `A`. Each vector is of length `m`.

"""
function column_vectors(A)
    m,n = size(A)
    [A[:,i] for i in 1:n]

RobBlackwell

using PyCall
@pyimport pickle

# This works for complex objects such as Scikit learn models. REB
# 20171129

function mypickle(filename, obj)
    out = open(filename,"w")
    pickle.dump(obj, out)
    close(out)

RobBlackwell

"""
    freedman_diaconis(x)

Estimates the required bin width for the distribution x.

Freedman, D. and Diaconis, P., 1981. On the histogram as a density
estimator: L 2 theory. Zeitschrift für Wahrscheinlichkeitstheorie und
verwandte Gebiete, 57(4), pp.453-476.

"""

RobBlackwell

const MATLAB_EPOCH = Dates.DateTime(-0001,12,31)

"""
     datenum(d::Dates.DateTime)

Converts a Julia DateTime to a MATLAB style DateNumber.

MATLAB represents time as DateNumber, a double precision floating
point number being the the number of days since January 0, 0000

RobBlackwell

using MAT
function mymatread(filename, varname)
    file = matopen(filename)
    x = read(file, varname)
    close(file)
    return x
end

RobBlackwell

using PerceptualColourMaps
using Images
function myimagesc(A)
    x = minimum(A)
    y = maximum(A)
    B = (A .- x) ./ (y - x)
    imgc = applycolormap(B, cmap("R3")) # outputs a 3-dimensional array
    imgc2 = colorview(RGB, permuteddimsview(imgc, (3,1,2)))
end