pandemonium_engine_easy_charts/addons/easy_charts/ColumnChart/column_chart.gd

tool
extends Chart
class_name ColumnChart

"""
[ColumnChart] - General purpose node for Column Charts

A bar chart or bar graph is a chart or graph that presents categorical data with 
rectangular bars with heights or lengths proportional to the values that they represent. 
The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes 
called a column chart.
A bar graph shows comparisons among discrete categories. One axis of the chart shows 
the specific categories being compared, and the other axis represents a measured value. 
Some bar graphs present bars clustered in groups of more than one, showing the 
values of more than one measured variable.

/ source : Wikipedia /
"""

# ---------------------

func _get_property_list():
		return [
				# Chart Properties
				{
					"hint": PROPERTY_HINT_NONE,
					"usage": PROPERTY_USAGE_CATEGORY,
					"name": "ColumnChart",
					"type": TYPE_STRING
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/are_values_columns",
						"type": TYPE_BOOL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "-1,100,1",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/labels_index",
						"type": TYPE_INT
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/show_x_values_as_labels",
						"type": TYPE_BOOL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "1,20,0.5",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/column_width",
						"type": TYPE_REAL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "0,10,0.5",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Properties/column_gap",
						"type": TYPE_REAL
				},
				
				# Chart Display
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "0.1,10",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Display/x_decim",
						"type": TYPE_REAL
				},
				{
						"hint": PROPERTY_HINT_RANGE,
						"hint_string": "0.001,1,0.001",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Display/y_decim",
						"type": TYPE_REAL
				},
				
				# Chart Style
				{ 
						"hint": 24, 
						"hint_string": "%d/%d:%s"%[TYPE_INT, PROPERTY_HINT_ENUM,
						PoolStringArray(PointShapes.keys()).join(",")],
						"name": "Chart_Style/points_shape", 
						"type": TYPE_ARRAY, 
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/function_colors",
						"type": TYPE_COLOR_ARRAY
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/box_color",
						"type": TYPE_COLOR
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/v_lines_color",
						"type": TYPE_COLOR
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/h_lines_color",
						"type": TYPE_COLOR
				},
				{
						"class_name": "Font",
						"hint": PROPERTY_HINT_RESOURCE_TYPE,
						"hint_string": "Font",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/font",
						"type": TYPE_OBJECT
				},
				{
						"class_name": "Font",
						"hint": PROPERTY_HINT_RESOURCE_TYPE,
						"hint_string": "Font",
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/bold_font",
						"type": TYPE_OBJECT
				},
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Style/font_color",
						"type": TYPE_COLOR
				},
				{
					"hint": PROPERTY_HINT_NONE,
					"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
					"name": "Chart_Style/use_template",
					"type": TYPE_BOOL
				},
				{
					"hint": PROPERTY_HINT_ENUM,
					"hint_string": PoolStringArray(Utilities.templates.keys()).join(","),
					"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
					"name": "Chart_Style/template",
					"type": TYPE_INT
				},
				
				# Chart Modifiers
				{
						"hint": PROPERTY_HINT_NONE,
						"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
						"name": "Chart_Modifiers/invert_chart",
						"type": TYPE_BOOL
				},
		]

func build_chart():
		SIZE = get_size()
		origin = Vector2(OFFSET.x,SIZE.y-OFFSET.y)

func structure_datas(database : Array):
	# @labels_index can be either a column or a row relative to x values
	are_values_columns = (invert_chart != are_values_columns)
	if are_values_columns:
		for row in database.size():
			var t_vals: Array
			for column in database[row].size():
				if column == labels_index:
					var x_data = database[row][column]
					if x_data.is_valid_float() or x_data.is_valid_integer():
						x_datas.append(x_data as float)
					else:
						x_datas.append(x_data)
				else:
					if row != 0:
						var y_data = database[row][column]
						if y_data.is_valid_float() or y_data.is_valid_integer():
							t_vals.append(y_data as float)
						else:
							t_vals.append(y_data.replace(",", ".") as float)
					else:
						y_labels.append(str(database[row][column]))
			if not t_vals.empty():
				y_datas.append(t_vals)
		x_label = str(x_datas.pop_front())
	else:
		for row in database.size():
			if row == labels_index:
				x_datas = (database[row])
				x_label = x_datas.pop_front() as String
			else:
				var values = database[row] as Array
				y_labels.append(values.pop_front() as String)
				y_datas.append(values)
		for data in y_datas:
			for value in data.size():
				data[value] = data[value] as float
	
	# draw y labels
	var to_order: Array
	var to_order_min: Array
	for cluster in y_datas.size():
		# define x_chors and y_chors
		var ordered_cluster = y_datas[cluster].duplicate() as Array
		ordered_cluster.sort()
		var margin_max = ordered_cluster[ordered_cluster.size() - 1]
		var margin_min = ordered_cluster[0]
		to_order.append(margin_max)
		to_order_min.append(margin_min)

	to_order.sort()
	to_order_min.sort()
	var margin = to_order.pop_back()
	if not origin_at_zero:
		y_margin_min = to_order_min.pop_front()
	v_dist = y_decim * pow(10.0, str(margin).length()-1) #* pow(10.0, (str(margin).length() - 2 if typeof(margin) == TYPE_INT else str(margin).length() - str(y_decim).length() ))
	var multi = 0
	var p = (v_dist * multi) + ((y_margin_min) if not origin_at_zero else 0)
	y_chors.append(p as String)
	while p < margin:
		multi += 1
		p = (v_dist * multi) + ((y_margin_min) if not origin_at_zero else 0)
		y_chors.append(p as String)

	# draw x_labels
	if not show_x_values_as_labels:
		to_order.clear()
		to_order = x_datas.duplicate() as PoolIntArray
		to_order.sort()
		margin = to_order.pop_back()
		if not origin_at_zero:
			x_margin_min = to_order.pop_front()
		h_dist = x_decim * pow(10.0, str(margin).length() - 2)
		multi = 0
		p = (h_dist * multi) + ((x_margin_min) if not origin_at_zero else 0)
		x_labels.append(p as String)
		while p < margin:
			multi += 1
			p = (h_dist * multi) + ((x_margin_min) if not origin_at_zero else 0)
			x_labels.append(p as String)
	
	OFFSET.x = (str(margin).length()) * font_size
	OFFSET.y = font_size * 2


func calculate_pass():
	if show_x_values_as_labels:
		x_chors = x_datas as PoolStringArray
	else:
		x_chors = x_labels
	
	# calculate distance in pixel between 2 consecutive values/datas
	if not are_values_columns:
		x_pass = (SIZE.x - OFFSET.x*2 - (column_width) * ( y_datas.size())  - column_gap - column_width/2) / ((x_chors.size()-1) if x_chors.size()!=1 else 1)
	else:
		x_pass = (SIZE.x - OFFSET.x*2 - (column_width) * ( y_datas[0].size()+1 )  - column_gap - column_width/2) / (x_chors.size()-1)
	y_pass = (origin.y - ChartName.get_rect().size.y*2) / (y_chors.size() - 1)

func calculate_coordinates():
	x_coordinates.clear()
	y_coordinates.clear()
	point_values.clear()
	point_positions.clear()

	for cluster in y_datas:
		var single_coordinates : Array
		for value in cluster.size():
			if origin_at_zero:
				single_coordinates.append((cluster[value]*y_pass)/v_dist)
			else:
				single_coordinates.append((cluster[value] - y_margin_min)*y_pass/v_dist)
		y_coordinates.append(single_coordinates)
	
	if show_x_values_as_labels:
		for x in x_datas.size():
			x_coordinates.append(x_pass*x)
	else:
		for x in x_datas.size():
			if origin_at_zero:
				x_coordinates.append(x_pass*x)
			else:
				x_coordinates.append((x_datas[x] - x_margin_min)*x_pass/h_dist)
	
	for f in functions:
		point_values.append([])
		point_positions.append([])
	
	for cluster in y_coordinates.size():
		for y in y_coordinates[cluster].size():
			if are_values_columns:
				point_positions[y].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*y + x_coordinates[cluster] + origin.x, origin.y-y_coordinates[cluster][y]))
				point_values[y].append([x_datas[cluster],y_datas[cluster][y]])
			else:
				point_values[cluster].append([x_datas[y],y_datas[cluster][y]])
				point_positions[cluster].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*cluster + x_coordinates[y]+origin.x,origin.y-y_coordinates[cluster][y]))

func _draw():
	clear_points()
	
	draw_grid()
	draw_chart_outlines()
	
	var defined_colors : bool = false
	if function_colors.size():
		defined_colors = true
	
	for _function in point_values.size():
		var PointContainer : Control = Control.new()
		Points.add_child(PointContainer)
		
		for function_point in point_values[_function].size():
			var point : Point = point_node.instance()
			point.connect("_point_pressed",self,"point_pressed")
			point.connect("_mouse_entered",self,"show_data")
			point.connect("_mouse_exited",self,"hide_data")
			
			point.create_point(points_shape[_function], function_colors[_function], 
			Color.white, point_positions[_function][function_point] + Vector2(0,7), 
			point.format_value(point_values[_function][function_point], false, false), 
			y_labels[_function] as String)
			PointContainer.add_child(point)
			point.rect_size.y = origin.y - point_positions[_function][function_point].y
			draw_line( Vector2(point_positions[_function][function_point].x, origin.y),
			point_positions[_function][function_point], function_colors[_function], column_width, true)
#            draw_string(font, Vector2(point_positions[_function][function_point].x, origin.y+10), y_labels[function_point], font_color)

func draw_grid():
	# ascisse
	for p in x_chors.size():
		var point : Vector2 = origin+Vector2((p)*x_pass,0)
		# v grid
		draw_line(point,point-Vector2(0,SIZE.y-OFFSET.y),v_lines_color,0.2,true)
		# ascisse
		draw_line(point-Vector2(0,5),point,v_lines_color,1,true)
		var calculated_gap : float
		if not are_values_columns:
			calculated_gap = ( y_datas.size() ) 
		else:
			calculated_gap = ( y_datas[0].size()+1 ) 
		draw_string(
			font,
			point + Vector2(-const_width/2*x_chors[p].length() + (column_width + column_gap) * functions, font_size),
			x_chors[p],
			font_color)

	# ordinate
	for p in y_chors.size():
		var point : Vector2 = origin-Vector2(0,(p)*y_pass)
		# h grid
		draw_line(point,point+Vector2(SIZE.x-OFFSET.x,0),h_lines_color,0.2,true)
		# ordinate
		draw_line(point,point+Vector2(5,0),h_lines_color,1,true)
		draw_string(
			font,
			point - Vector2(y_chors[p].length() * const_width + font_size, -const_height),
			y_chors[p],
			font_color)

func draw_chart_outlines():
#	if boxed:
	draw_line(Vector2(origin.x,0),Vector2(SIZE.x,0),box_color,1,true)
	draw_line(Vector2(SIZE.x,0),Vector2(SIZE.x,origin.y),box_color,1,true)
	draw_line(Vector2(SIZE.x,origin.y),origin,box_color,1,true)
	draw_line(origin,Vector2(origin.x,0),box_color,1,true)