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# AkizukiLinearInterpolation by 4kizuki
# https://github.com/4kizuki/AkizukiLinearInterpolation.jl


    

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#Pkg.rm("AkizukiLinearInterpolation")


    

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#Pkg.clone("https://github.com/4kizuki/AkizukiLinearInterpolation.jl")


    

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using AkizukiLinearInterpolation


    

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grid = [1, 2]
vals = [2, 0]
f = my_lin_interp( grid, vals )
f(1.25)


    

    
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1.5

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Pkg.test( "AkizukiLinearInterpolation" )
# Test Summary:                | Pass  Total
# Testing linear interporation |   13     13


    

    




INFO: Testing AkizukiLinearInterpolation
INFO: AkizukiLinearInterpolation tests passed

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using Plots


    

    




WARNING: using Plots.grid in module Main conflicts with an existing identifier.

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plotlyjs()


    

    







 
 
Plotly javascript loaded.
 
To load again call 
init_notebook(true)

 






    




WARNING: Method definition describe(AbstractArray) in module StatsBase at C:\Users\Akizuki\.julia\v0.5\StatsBase\src\scalarstats.jl:573 overwritten in module DataFrames at C:\Users\Akizuki\.julia\v0.5\DataFrames\src\abstractdataframe\abstractdataframe.jl:407.






    
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Plots.PlotlyJSBackend()

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x = -7:7 
y = sin.(x)

xf = -7:0.1:7
plot(xf, sin.(xf), label="sine function")
scatter!(x, y, label="sampled data", markersize=4)


    

    
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li = my_lin_interp(x, y)
y_linear_qe = li.(xf)       # evaluate at multiple points

plot(xf, y_linear_qe, label="linear")
scatter!(x, y, label="sampled data", markersize=4)


    

    
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