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asciigraph_test.go
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asciigraph_test.go
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package asciigraph
import (
"fmt"
"math"
"strings"
"testing"
)
func TestPlot(t *testing.T) {
cases := []struct {
data []float64
opts []Option
expected string
}{
{
[]float64{1, 1, 1, 1, 1},
nil,
` 1.00 ┼────`},
{
[]float64{0, 0, 0, 0, 0},
nil,
` 0.00 ┼────`},
{
[]float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 1},
nil,
`
11.00 ┤ ╭╮
10.00 ┤ ││
9.00 ┤ ││
8.00 ┤ ││
7.00 ┤ ╭╯│╭╮
6.00 ┤ │ │││
5.00 ┤ ╭╯ │││
4.00 ┤ │ │││
3.00 ┤ │ ╰╯│
2.00 ┼╮ ╭╮│ │
1.00 ┤╰─╯││ ╰
0.00 ┤ ││
-1.00 ┤ ││
-2.00 ┤ ╰╯`},
{
[]float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 4, 5, 6, 9, 4, 0, 6, 1, 5, 3, 6, 2},
[]Option{Caption("Plot using asciigraph.")},
`
11.00 ┤ ╭╮
10.00 ┤ ││
9.00 ┤ ││ ╭╮
8.00 ┤ ││ ││
7.00 ┤ ╭╯│╭╮ ││
6.00 ┤ │ │││ ╭╯│ ╭╮ ╭╮
5.00 ┤ ╭╯ │││╭╯ │ ││╭╮││
4.00 ┤ │ ││╰╯ ╰╮││││││
3.00 ┤ │ ╰╯ ││││╰╯│
2.00 ┼╮ ╭╮│ ││││ ╰
1.00 ┤╰─╯││ ││╰╯
0.00 ┤ ││ ╰╯
-1.00 ┤ ││
-2.00 ┤ ╰╯
Plot using asciigraph.`},
{
[]float64{.2, .1, .2, 2, -.9, .7, .91, .3, .7, .4, .5},
[]Option{Caption("Plot using asciigraph.")},
`
2.00 ┤ ╭╮ ╭╮
0.55 ┼──╯│╭╯╰───
-0.90 ┤ ╰╯
Plot using asciigraph.`},
{
[]float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 1},
[]Option{Height(4), Offset(3)},
`
11.00 ┤ ╭╮
7.75 ┤ ╭─╯│╭╮
4.50 ┼╮ ╭╮│ ╰╯│
1.25 ┤╰─╯││ ╰
-2.00 ┤ ╰╯`},
{
[]float64{.453, .141, .951, .251, .223, .581, .771, .191, .393, .617, .478},
nil,
`
0.95 ┤ ╭╮
0.85 ┤ ││ ╭╮
0.75 ┤ ││ ││
0.65 ┤ ││ ╭╯│ ╭╮
0.55 ┤ ││ │ │ │╰
0.44 ┼╮││ │ │╭╯
0.34 ┤│││ │ ││
0.24 ┤││╰─╯ ╰╯
0.14 ┤╰╯`},
{
[]float64{.01, .004, .003, .0042, .0083, .0033, 0.0079},
nil,
`
0.010 ┼╮
0.009 ┤│
0.008 ┤│ ╭╮╭
0.007 ┤│ │││
0.006 ┤│ │││
0.005 ┤│ │││
0.004 ┤╰╮╭╯││
0.003 ┤ ╰╯ ╰╯`},
{
[]float64{192, 431, 112, 449, -122, 375, 782, 123, 911, 1711, 172},
[]Option{Height(10)},
`
1711 ┤ ╭╮
1528 ┤ ││
1344 ┤ ││
1161 ┤ ││
978 ┤ ╭╯│
794 ┤ ╭╮│ │
611 ┤ │││ │
428 ┤╭╮╭╮╭╯││ │
245 ┼╯╰╯││ ╰╯ ╰
61 ┤ ││
-122 ┤ ╰╯`},
{
[]float64{0.3189989805, 0.149949026, 0.30142492354, 0.195129182935, 0.3142492354, 0.1674974513, 0.3142492354, 0.1474974513, 0.3047974513},
[]Option{Width(30), Height(5), Caption("Plot with custom height & width.")},
`
0.32 ┼╮ ╭─╮ ╭╮ ╭
0.29 ┤╰╮ ╭─╮ ╭╯ │ ╭╯│ │
0.26 ┤ │ ╭╯ ╰╮ ╭╯ ╰╮ ╭╯ ╰╮ ╭╯
0.23 ┤ ╰╮ ╭╯ ╰╮│ ╰╮╭╯ ╰╮ ╭╯
0.20 ┤ ╰╮│ ╰╯ ╰╯ │╭╯
0.16 ┤ ╰╯ ╰╯
Plot with custom height & width.`},
{
[]float64{
0, 0, 0, 0, 1.5, 0, 0, -0.5, 9, -3, 0, 0, 1, 2, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1.5, 0, 0, -0.5, 8, -3, 0, 0, 1, 2, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1.5, 0, 0, -0.5, 10, -3, 0, 0, 1, 2, 1, 0, 0, 0, 0,
},
[]Option{Offset(10), Height(10), Caption("I'm a doctor, not an engineer.")},
`
10.00 ┤ ╭╮
8.70 ┤ ╭╮ ││
7.40 ┤ ││ ╭╮ ││
6.10 ┤ ││ ││ ││
4.80 ┤ ││ ││ ││
3.50 ┤ ││ ││ ││
2.20 ┤ ││ ╭╮ ││ ╭╮ ││ ╭╮
0.90 ┤ ╭╮ ││ ╭╯╰╮ ╭╮ ││ ╭╯╰╮ ╭╮ ││ ╭╯╰╮
-0.40 ┼───╯╰──╯│╭─╯ ╰───────╯╰──╯│╭─╯ ╰───────╯╰──╯│╭─╯ ╰───
-1.70 ┤ ││ ││ ││
-3.00 ┤ ╰╯ ╰╯ ╰╯
I'm a doctor, not an engineer.`},
{
[]float64{-5, -2, -3, -4, 0, -5, -6, -7, -8, 0, -9, -3, -5, -2, -9, -3, -1},
nil,
`
0.00 ┤ ╭╮ ╭╮
-1.00 ┤ ││ ││ ╭
-2.00 ┤╭╮ ││ ││ ╭╮ │
-3.00 ┤│╰╮││ ││╭╮││╭╯
-4.00 ┤│ ╰╯│ │││││││
-5.00 ┼╯ ╰╮ │││╰╯││
-6.00 ┤ ╰╮ │││ ││
-7.00 ┤ ╰╮│││ ││
-8.00 ┤ ╰╯││ ││
-9.00 ┤ ╰╯ ╰╯`},
{
[]float64{-0.000018527, -0.021, -.00123, .00000021312, -.0434321234, -.032413241234, .0000234234},
[]Option{Height(5), Width(45)},
`
0.000 ┼─╮ ╭────────╮ ╭
-0.008 ┤ ╰──╮ ╭──╯ ╰─╮ ╭─╯
-0.017 ┤ ╰─────╯ ╰╮ ╭─╯
-0.025 ┤ ╰─╮ ╭─╯
-0.034 ┤ ╰╮ ╭────╯
-0.042 ┤ ╰───╯`},
{
[]float64{57.76, 54.04, 56.31, 57.02, 59.5, 52.63, 52.97, 56.44, 56.75, 52.96, 55.54, 55.09, 58.22, 56.85, 60.61, 59.62, 59.73, 59.93, 56.3, 54.69, 55.32, 54.03, 50.98, 50.48, 54.55, 47.49, 55.3, 46.74, 46, 45.8, 49.6, 48.83, 47.64, 46.61, 54.72, 42.77, 50.3, 42.79, 41.84, 44.19, 43.36, 45.62, 45.09, 44.95, 50.36, 47.21, 47.77, 52.04, 47.46, 44.19, 47.22, 45.55, 40.65, 39.64, 37.26, 40.71, 42.15, 36.45, 39.14, 36.62},
[]Option{Width(-10), Height(-10), Offset(-1)},
`
60.61 ┤ ╭╮ ╭╮
59.60 ┤ ╭╮ │╰─╯│
58.60 ┤ ││ ╭╮│ │
57.59 ┼╮ ╭╯│ │││ │
56.58 ┤│╭╯ │ ╭─╮ │╰╯ ╰╮
55.58 ┤││ │ │ │╭─╯ │╭╮ ╭╮
54.57 ┤╰╯ │ │ ││ ╰╯╰╮ ╭╮││ ╭╮
53.56 ┤ │╭╯ ╰╯ │ ││││ ││
52.56 ┤ ╰╯ │ ││││ ││ ╭╮
51.55 ┤ ╰╮││││ ││ ││
50.54 ┤ ╰╯│││ ││╭╮ ╭╮ ││
49.54 ┤ │││ ╭─╮ ││││ ││ ││
48.53 ┤ │││ │ │ ││││ ││ ││
47.52 ┤ ╰╯│ │ ╰╮││││ │╰─╯╰╮╭╮
46.52 ┤ ╰─╮│ ╰╯│││ │ │││
45.51 ┤ ╰╯ │││ ╭──╯ ││╰╮
44.50 ┤ │││ ╭╮│ ╰╯ │
43.50 ┤ ││╰╮│╰╯ │
42.49 ┤ ╰╯ ╰╯ │ ╭╮
41.48 ┤ │ ││
40.48 ┤ ╰╮ ╭╯│
39.47 ┤ ╰╮│ │╭╮
38.46 ┤ ││ │││
37.46 ┤ ╰╯ │││
36.45 ┤ ╰╯╰`},
{
[]float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 4, 5, 6, 9, 4, 0, 6, 1, 5, 3, 6, 2},
[]Option{LowerBound(-3), UpperBound(13)},
` 13.00 ┤
12.00 ┤
11.00 ┤ ╭╮
10.00 ┤ ││
9.00 ┤ ││ ╭╮
8.00 ┤ ││ ││
7.00 ┤ ╭╯│╭╮ ││
6.00 ┤ │ │││ ╭╯│ ╭╮ ╭╮
5.00 ┤ ╭╯ │││╭╯ │ ││╭╮││
4.00 ┤ │ ││╰╯ ╰╮││││││
3.00 ┤ │ ╰╯ ││││╰╯│
2.00 ┼╮ ╭╮│ ││││ ╰
1.00 ┤╰─╯││ ││╰╯
0.00 ┤ ││ ╰╯
-1.00 ┤ ││
-2.00 ┤ ╰╯
-3.00 ┤`},
{
[]float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 4, 5, 6, 9, 4, 0, 6, 1, 5, 3, 6, 2},
[]Option{LowerBound(0), UpperBound(3)},
` 11.00 ┤ ╭╮
10.00 ┤ ││
9.00 ┤ ││ ╭╮
8.00 ┤ ││ ││
7.00 ┤ ╭╯│╭╮ ││
6.00 ┤ │ │││ ╭╯│ ╭╮ ╭╮
5.00 ┤ ╭╯ │││╭╯ │ ││╭╮││
4.00 ┤ │ ││╰╯ ╰╮││││││
3.00 ┤ │ ╰╯ ││││╰╯│
2.00 ┼╮ ╭╮│ ││││ ╰
1.00 ┤╰─╯││ ││╰╯
0.00 ┤ ││ ╰╯
-1.00 ┤ ││
-2.00 ┤ ╰╯`},
{
[]float64{1, 1, math.NaN(), 1, 1},
nil,
` 1.00 ┼─╴╶─`},
{
[]float64{math.NaN(), 1},
nil,
` 1.00 ┤╶`},
{
[]float64{0, 0, 1, 1, math.NaN(), math.NaN(), 3, 3, 4},
nil,
`
4.00 ┤ ╭
3.00 ┤ ╶─╯
2.00 ┤
1.00 ┤ ╭─╴
0.00 ┼─╯`},
{
[]float64{.1, .2, .3, math.NaN(), .5, .6, .7, math.NaN(), math.NaN(), .9, 1},
nil,
`
1.00 ┤ ╭
0.90 ┤ ╶╯
0.80 ┤
0.70 ┤ ╭╴
0.60 ┤ ╭╯
0.50 ┤ ╶╯
0.40 ┤
0.30 ┤ ╭╴
0.20 ┤╭╯
0.10 ┼╯`},
{
[]float64{-0.000018527, -0.021, -.00123, .00000021312, -.0434321234, -.032413241234, .0000234234},
[]Option{Height(5), Width(45), Precision(5)},
`
0.000023 ┼─╮ ╭────────╮ ╭
-0.008467 ┤ ╰──╮ ╭──╯ ╰─╮ ╭─╯
-0.016958 ┤ ╰─────╯ ╰╮ ╭─╯
-0.025449 ┤ ╰─╮ ╭─╯
-0.033940 ┤ ╰╮ ╭────╯
-0.042430 ┤ ╰───╯`},
{
[]float64{math.NaN(), 1},
[]Option{Caption("color test"), CaptionColor(Red), AxisColor(Green), LabelColor(Blue)},
`
\x1b[94m 1.00\x1b[0m \x1b[32m┤\x1b[0m╶
\x1b[91mcolor test\x1b[0m`},
}
for i := range cases {
name := fmt.Sprintf("%d", i)
t.Run(name, func(t *testing.T) {
c := cases[i]
expected := strings.Replace(strings.TrimPrefix(c.expected, "\n"), `\x1b`, "\x1b", -1)
actual := Plot(c.data, c.opts...)
if actual != expected {
conf := configure(config{}, c.opts)
t.Errorf("Plot(%f, %#v)", c.data, conf)
t.Logf("expected:\n%s\n", expected)
}
t.Logf("actual:\n%s\n", actual)
})
}
}
func TestPlotMany(t *testing.T) {
cases := []struct {
data [][]float64
opts []Option
expected string
}{
{
[][]float64{{0}, {1}, {2}},
nil,
`
2.00 ┼
1.00 ┼
0.00 ┼`},
{
[][]float64{{0, 0, 2, 2, math.NaN()}, {1, 1, 1, 1, 1, 1, 1}, {math.NaN(), math.NaN(), math.NaN(), 0, 0, 2, 2}},
nil,
`
2.00 ┤ ╭─╴╭─
1.00 ┼────│─
0.00 ┼─╯╶─╯`},
{
[][]float64{{0, 0, 0}, {math.NaN(), 0, 0}, {math.NaN(), math.NaN(), 0}},
nil,
` 0.00 ┼╶╶`},
{
[][]float64{{0, 1, 0}, {2, 3, 4, 3, 2}, {4, 5, 6, 7, 6, 5, 4}},
[]Option{Width(21), Caption("interpolation test")},
`
7.00 ┤ ╭──╮
6.00 ┤ ╭───╯ ╰───╮
5.00 ┤ ╭──╯ ╰──╮
4.00 ┼─╯ ╭───╮ ╰─
3.00 ┤ ╭──╯ ╰──╮
2.00 ┼─╯ ╰─╴
1.00 ┤ ╭───╮
0.00 ┼─╯ ╰╴
interpolation test`},
{
[][]float64{{0, 0}, {math.NaN(), 0}},
[]Option{SeriesColors(Red)},
" 0.00 ┼╶"},
{
[][]float64{{0, 0}, {math.NaN(), 0}},
[]Option{SeriesColors(Default, Red)},
" 0.00 ┼\x1b[91m╶\x1b[0m"},
{
[][]float64{{math.NaN(), 0, 2}, {0, 2}},
[]Option{SeriesColors(Red, Red)},
`
2.00 ┤\x1b[91m╭╭\x1b[0m
1.00 ┤\x1b[91m││\x1b[0m
0.00 ┼\x1b[91m╯╯\x1b[0m`},
{
[][]float64{{0, 1, 0}, {2, 3, 4, 3, 2}},
[]Option{SeriesColors(Red, Blue), SeriesLegends("Red", "Blue"),
Caption("legends with caption test")},
`
4.00 ┤ [94m╭╮[0m
3.00 ┤[94m╭╯╰╮[0m
2.00 ┼[94m╯[0m [94m╰[0m
1.00 ┤[91m╭╮[0m
0.00 ┼[91m╯╰[0m
legends with caption test
[91m■[0m Red [94m■[0m Blue`},
}
for i := range cases {
name := fmt.Sprintf("%d", i)
t.Run(name, func(t *testing.T) {
c := cases[i]
expected := strings.Replace(strings.TrimPrefix(c.expected, "\n"), `\x1b`, "\x1b", -1)
actual := PlotMany(c.data, c.opts...)
if actual != expected {
conf := configure(config{}, c.opts)
t.Errorf("Plot(%f, %#v)", c.data, conf)
t.Logf("expected:\n%s\n", expected)
}
t.Logf("actual:\n%s\n", actual)
})
}
}
func BenchmarkPlot(b *testing.B) {
data := []float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 1}
opts := []Option{Height(4), Offset(3)}
for i := 0; i < b.N; i++ {
Plot(data, opts...)
}
}
func BenchmarkPlotMany(b *testing.B) {
data1 := []float64{2, 1, 1, 2, -2, 5, 7, 11, 3, 7, 1}
data2 := []float64{5, 3, 2, 7, 1, -2, 9, 4, 3, 2, 1}
opts := []Option{Height(4), Offset(3)}
datasets := [][]float64{data1, data2}
for i := 0; i < b.N; i++ {
PlotMany(datasets, opts...)
}
}