Removing python for vsl.plot - WIP

examples/data_analysis_example/main.v

@@ -62,7 +62,7 @@ fn main() {
 	])!
 
 	// Visualize data in a 3D scatter plot
-	mut plt_3d := plot.new_plot()
+	mut plt_3d := plot.Plot.new()
 
 	x1 := data.x.get_col(0)
 	x2 := data.x.get_col(1)
@@ -75,7 +75,7 @@ fn main() {
 	mut x2_class1 := []f64{}
 
 	for i in 0 .. data.nb_samples {
-		if y[i] == 0 {
+		if y[i] == 0.0 {
 			x1_class0 << x1[i]
 			x2_class0 << x2[i]
 		} else {
@@ -85,24 +85,21 @@ fn main() {
 	}
 
 	// Add traces for each class in the 3D plot
-	plt_3d.add_trace(
-		trace_type: .scatter3d
+	plt_3d.scatter3d(
 		x: x1_class0
 		y: x2_class0
-		z: []f64{len: x1_class0.len, init: 0.0}
+		z: [][]f64{len: x1_class0.len, init: [0.0]}
 		mode: 'markers'
 		marker: plot.Marker{
 			size: []f64{len: x1_class0.len, init: 8.0}
 			color: []string{len: x1_class0.len, init: 'blue'}
 		}
 		name: 'Class 0'
 	)
-
-	plt_3d.add_trace(
-		trace_type: .scatter3d
+	plt_3d.scatter3d(
 		x: x1_class1
 		y: x2_class1
-		z: []f64{len: x1_class1.len, init: 0.0}
+		z: [][]f64{len: x1_class1.len, init: [0.0]}
 		mode: 'markers'
 		marker: plot.Marker{
 			size: []f64{len: x1_class1.len, init: 8.0}
@@ -112,7 +109,7 @@ fn main() {
 	)
 
 	// Configure the layout of the 3D plot
-	plt_3d.set_layout(
+	plt_3d.layout(
 		title: 'Two-class Data'
 		xaxis: plot.Axis{
 			title: plot.AxisTitle{
@@ -134,24 +131,22 @@ fn main() {
 	stat.update()
 
 	// Visualize statistics in a bar chart
-	mut plt_bars := plot.new_plot()
+	mut plt_bars := plot.Plot.new()
 
-	plt_bars.add_trace(
-		trace_type: .bar
+	plt_bars.bar(
 		x: []string{len: stat.mean_x.len, init: 'Class ${index}'}
 		y: stat.mean_x
 		name: 'Mean'
 	)
 
-	plt_bars.add_trace(
-		trace_type: .bar
+	plt_bars.bar(
 		x: []string{len: stat.sig_x.len, init: 'Class ${index}'}
 		y: stat.sig_x
 		name: 'Standard Deviation'
 	)
 
 	// Configure the layout of the bar chart
-	plt_bars.set_layout(
+	plt_bars.layout(
 		title: 'Feature Statistics'
 	)
 

examples/fft_plot_example/main.v

@@ -22,11 +22,10 @@ fn main() {
 	spectrum := signal.clone()
 
 	// Create a scatter plot for the signal and its spectrum
-	mut plt := plot.new_plot()
+	mut plt := plot.Plot.new()
 
 	// Add a scatter plot for the original signal
-	plt.add_trace(
-		trace_type: .scatter
+	plt.scatter(
 		x: []f64{len: original_signal.len, init: f64(index)}
 		y: original_signal
 		mode: 'markers'
@@ -37,8 +36,7 @@ fn main() {
 	)
 
 	// Add a scatter plot for the imaginary part of the spectrum
-	plt.add_trace(
-		trace_type: .scatter
+	plt.scatter(
 		x: []f64{len: spectrum.len, init: f64(index)}
 		y: spectrum
 		mode: 'markers'
@@ -49,7 +47,7 @@ fn main() {
 	)
 
 	// Set up the layout
-	plt.set_layout(
+	plt.layout(
 		title: 'Signal and FFT Spectrum'
 	)
 

examples/io_h5_dataset/main.v

@@ -1,4 +1,4 @@
-import vsl.io.h5
+import vsl.inout.h5
 import math.stats
 import rand
 

examples/io_h5_relax/main.v

@@ -1,4 +1,4 @@
-import vsl.io.h5
+import vsl.inout.h5
 import math
 
 // A simple 1d relaxation problem.  Write the results

examples/plot_annotated_pie_chart/main.v

@@ -6,14 +6,13 @@ fn main() {
 	labels := ['Apples', 'Bananas', 'Cherries', 'Grapes']
 	values := [25.0, 30, 15, 30]
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .pie
+	mut plt := plot.Plot.new()
+	plt.pie(
 		labels: labels
 		values: values
 		textinfo: 'percent+label'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Pie Chart with Annotations'
 	)
 	plt.show()!

examples/plot_bar/main.v

@@ -3,14 +3,13 @@ module main
 import vsl.plot
 
 fn main() {
-	mut plt := plot.new_plot()
+	mut plt := plot.Plot.new()
 
-	plt.add_trace(
-		trace_type: .bar
+	plt.bar(
 		x: ['China', 'India', 'USA', 'Indonesia', 'Pakistan']
 		y: [1411778724.0, 1379217184, 331989449, 271350000, 225200000]
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Countries by population'
 	)
 	plt.show()!

examples/plot_basic_heatmap/main.v

@@ -6,15 +6,14 @@ z := [[1.0, 0, 30, 50, 1], [20.0, 1, 60, 80, 30], [30.0, 60, 1, -10, 20]]
 x := ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
 y := ['Morning', 'Afternoon', 'Evening']
 
-mut plt := plot.new_plot()
+mut plt := plot.Plot.new()
 
-plt.add_trace(
-	trace_type: .heatmap
+plt.heatmap(
 	x: x
 	y: y
 	z: z
 )
-plt.set_layout(
+plt.layout(
 	title: 'Heatmap Basic Implementation'
 	width: 750
 	height: 750

examples/plot_bubble_chart/main.v

@@ -7,9 +7,8 @@ fn main() {
 	y := []f64{len: 100, init: f64(index) * 0.1}
 	size := []f64{len: 10, init: f64(index) * 10.0}
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .scatter
+	mut plt := plot.Plot.new()
+	plt.scatter(
 		x: x
 		y: y
 		mode: 'markers'
@@ -19,7 +18,7 @@ fn main() {
 		}
 		name: 'Bubble Chart'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Bubble Chart'
 	)
 	plt.show()!

examples/plot_grouped_bar_chart/main.v

@@ -7,20 +7,18 @@ fn main() {
 	values1 := [10.0, 15, 7, 12]
 	values2 := [8.0, 14, 5, 10]
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .bar
+	mut plt := plot.Plot.new()
+	plt.bar(
 		x: categories
 		y: values1
 		name: 'Group 1'
 	)
-	plt.add_trace(
-		trace_type: .bar
+	plt.bar(
 		x: categories
 		y: values2
 		name: 'Group 2'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Grouped Bar Chart'
 	)
 	plt.show()!

examples/plot_heatmap_golden_ratio/main.v

@@ -24,15 +24,14 @@ z := [[13.0, 3, 3, 5], [13.0, 2, 1, 5], [13.0, 10, 11, 12], [13.0, 8, 8, 8]]
 // x := r*math.cos(theta)
 // y := r*math.sin(theta)
 
-mut plt := plot.new_plot()
+mut plt := plot.Plot.new()
 
-plt.add_trace(
-	trace_type: .heatmap
+plt.heatmap(
 	x: xe
 	y: ye
 	z: z
 )
-plt.set_layout(
+plt.layout(
 	title: 'Heatmap with Unequal Block Sizes'
 	width: 750
 	height: 750

examples/plot_histogram/main.v

@@ -5,21 +5,18 @@ import vsl.plot
 
 rand.seed([u32(1), 42])
 
-mut x1 := []f64{cap: 1000}
-for _ in 1 .. 1000 {
-	x1 << rand.f64n(100) or { 0 }
-}
-mut plt := plot.new_plot()
-plt.add_trace(
-	trace_type: .histogram
-	x: x1
-	xbins: {
-		'start': f32(0)
-		'end':   f32(100)
-		'size':  2
+x := []f64{len: 1000, init: (0 * index) + rand.f64n(100) or { 0 }}
+
+mut plt := plot.Plot.new()
+plt.histogram(
+	x: x
+	xbins: plot.Bins{
+		start: 0.0
+		end: 100.0
+		size: 2
 	}
 )
-plt.set_layout(
+plt.layout(
 	title: 'Histogram Example'
 	width: 750
 	height: 750

examples/plot_line_plot_with_areas/main.v

@@ -8,9 +8,8 @@ fn main() {
 	y1 := x.map(math.sin(it))
 	y2 := x.map(math.cos(it))
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .scatter
+	mut plt := plot.Plot.new()
+	plt.scatter(
 		x: x
 		y: y1
 		mode: 'lines'
@@ -19,8 +18,7 @@ fn main() {
 		}
 		name: 'sin(x)'
 	)
-	plt.add_trace(
-		trace_type: .scatter
+	plt.scatter(
 		x: x
 		y: y2
 		mode: 'lines'
@@ -29,7 +27,7 @@ fn main() {
 		}
 		name: 'cos(x)'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Line Plot with Highlighted Areas'
 	)
 	plt.show()!

examples/plot_pie/main.v

@@ -2,18 +2,19 @@ module main
 
 import vsl.plot
 
-mut plt := plot.new_plot()
+fn main() {
+	mut plt := plot.Plot.new()
 
-plt.add_trace(
-	trace_type: .pie
-	labels: ['Nitrogen', 'Oxygen', 'Argon', 'Other']
-	values: [78.0, 21, 0.9, 0.1]
-	pull: [0.0, 0.1, 0, 0]
-	hole: 0.25
-)
-plt.set_layout(
-	title: 'Gases in the atmosphere'
-	width: 750
-	height: 750
-)
-plt.show()!
+	plt.pie(
+		labels: ['Nitrogen', 'Oxygen', 'Argon', 'Other']
+		values: [78.0, 21, 0.9, 0.1]
+		pull: [0.0, 0.1, 0, 0]
+		hole: 0.25
+	)
+	plt.layout(
+		title: 'Gases in the atmosphere'
+		width: 750
+		height: 750
+	)
+	plt.show()!
+}

examples/plot_ripple_surface/main.v

@@ -18,15 +18,14 @@ fn main() {
 		z << row
 	}
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .surface
+	mut plt := plot.Plot.new()
+	plt.surface(
 		x: x
 		y: y
 		z: z
 		colorscale: 'Viridis'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Ripple Effect Surface'
 	)
 	plt.show()!

examples/plot_saddle_surface/main.v

@@ -17,15 +17,14 @@ fn main() {
 		z << row
 	}
 
-	mut plt := plot.new_plot()
-	plt.add_trace(
-		trace_type: .surface
+	mut plt := plot.Plot.new()
+	plt.surface(
 		x: x
 		y: y
 		z: z
 		colorscale: 'Viridis'
 	)
-	plt.set_layout(
+	plt.layout(
 		title: 'Saddle Surface'
 	)
 	plt.show()!