How to resolve the algorithm Sparkline in unicode step by step in the Julia programming language

Published on 22 June 2024 08:30 PM

How to resolve the algorithm Sparkline in unicode step by step in the Julia programming language

Table of Contents

Problem Statement

A sparkline is a graph of successive values laid out horizontally where the height of the line is proportional to the values in succession.

Use the following series of Unicode characters to create a program that takes a series of numbers separated by one or more whitespace or comma characters and generates a sparkline-type bar graph of the values on a single line of output. The eight characters: '▁▂▃▄▅▆▇█' (Unicode values U+2581 through U+2588). Use your program to show sparklines for the following input, here on this page:

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Sparkline in unicode step by step in the Julia programming language

The provided Julia code defines a function called sparklineit that generates a simple sparkline representation of an array of numbers. A sparkline is a one-line graphic that shows the trend of data over time or space.

Here's a breakdown of the code:

  1. Function Definition:

    function sparklineit(arr)

    The sparklineit function takes a one-dimensional array arr of numeric values as input.

  2. Spark Character Set:

    sparkchars = '\u2581':'\u2588'

    This sets up a range of Unicode characters, \u2581 to \u2588, which are used to represent different levels of intensity in the sparkline.

  3. Dynamic Range:

    dyn = length(sparkchars)

    dyn stores the number of characters in the sparkchars range, which determines the dynamic range of the sparkline.

  4. Extrema Calculation:

    lo, hi = extrema(arr)

    extrema(arr) calculates the minimum (lo) and maximum (hi) values in the array arr. These values will be used to normalize the data for the sparkline.

  5. Normalization:

    b = @. max(ceil(Int, dyn * (arr - lo) / (hi - lo)), 1)

    This line normalizes the data in arr to a range of 1 to dyn. It calculates the index of the spark character to use for each element in arr based on its position between the minimum and maximum values. The max function ensures that the index is at least 1, avoiding character indices outside the sparkchars range.

  6. Sparkline Generation:

    return join(sparkchars[b])

    Finally, it joins the appropriate spark characters based on the calculated indices b to create the sparkline representation of the input array.

  7. Usage Examples: The code then provides several examples of using the sparklineit function:

    • It generates a sparkline for an array of random integers from 0 to 10 and prints the result.
    • It generates a sparkline for an array of random floats between 0 and 10 and prints the result.
    • It processes multiple lines of comma-separated values, parses them as floats, and creates sparklines for each resulting array.

In summary, the sparklineit function in Julia provides a convenient way to create simple sparkline representations of numeric data arrays, allowing for easy visualization of trends and patterns.

Source code in the julia programming language

function sparklineit(arr)
    sparkchars = '\u2581':'\u2588'
    dyn = length(sparkchars)
    lo, hi = extrema(arr)
    b = @. max(ceil(Int, dyn * (arr - lo) / (hi - lo)), 1)
    return join(sparkchars[b])
end

v = rand(0:10, 10)
println("$v → ", sparklineit(v))
v = 10rand(10)
println("$(round.(v, 2)) → ", sparklineit(v))

lines = strip.(split("""
    1 2 3 4 5 6 7 8 7 6 5 4 3 2 1
    1.5, 0.5 3.5, 2.5 5.5, 4.5 7.5, 6.5""", "\n"))
arrays = map(lin -> split(lin, r"\s+|\s*,\s*") .|> s -> parse(Float64, s), lines)
foreach(v -> println("$v → ", sparklineit(v)), arrays)


  

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