mirror of
https://github.com/Relintai/pandemonium_engine_easy_charts.git
synced 2024-11-14 10:17:24 +01:00
509 lines
16 KiB
GDScript
509 lines
16 KiB
GDScript
tool
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extends Control
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"""
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[ScatterChart] - General purpose node for Scatter Charts
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A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram)
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is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables
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for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.
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The data are displayed as a collection of points, each having the value of one variable determining the position on
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the horizontal axis and the value of the other variable determining the position on the vertical axis.
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/ source : Wikipedia /
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"""
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onready var PointData = $PointData/PointData
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onready var Points = $Points
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onready var Legend = $Legend
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var point_node : PackedScene = preload("../Utilities/Point/Point.tscn")
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var FunctionLegend : PackedScene = preload("../Utilities/Legend/FunctionLegend.tscn")
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var font_size : float = 16
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var const_height : float = font_size/2*font_size/20
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var const_width : float = font_size/2
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var OFFSET : Vector2 = Vector2(0,0)
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#-------------------------------------------------------------------------#
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var origin : Vector2
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# actual distance between x and y values
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var x_pass : float
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var y_pass : float
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# vertical distance between y consecutive points used for intervals
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var v_dist : float
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var h_dist : float
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# quantization, representing the interval in which values will be displayed
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# define values on x an y axis
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var x_chors : Array
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var y_chors : Array
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# actual coordinates of points (in pixel)
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var x_coordinates : Array
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var y_coordinates : Array
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# datas contained in file
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var datas : Array
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# amount of functions to represent
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var functions : int = 0
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# database values
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var x_datas : Array
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var y_datas : Array
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# labels displayed on chart
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var x_label : String
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var x_labels : Array
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var y_labels : Array
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var x_margin_min : int = 0
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var y_margin_min : int = 0
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# actual values of point, from the database
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var point_values : Array
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# actual position of points in pixel
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var point_positions : Array
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var legend : Array setget set_legend,get_legend
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# ---------------------
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var SIZE : Vector2 = Vector2()
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export (String, FILE, "*.txt, *.csv") var source : String = ""
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export (String) var delimiter : String = ";"
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export (bool) var origin_at_zero : bool = true
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export (bool) var are_values_columns : bool = false
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export (int,0,100) var x_values_index : int = 0
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export(bool) var show_x_values_as_labels : bool = true
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#export (float,1,20,0.5) var column_width : float = 10
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#export (float,0,10,0.5) var column_gap : float = 2
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export (float,0.1,10.0) var x_decim : float = 5.0
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export (float,0.1,10.0) var y_decim : float = 5.0
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export (int,"Dot,Triangle,Square") var point_shape : int = 0
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export (PoolColorArray) var function_colors = [Color("#1e1e1e")]
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export (Color) var v_lines_color : Color = Color("#cacaca")
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export (Color) var h_lines_color : Color = Color("#cacaca")
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export (bool) var boxed : bool = true
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export (Color) var box_color : Color = Color("#1e1e1e")
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export (Font) var font : Font
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export (Font) var bold_font : Font
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export (Color) var font_color : Color = Color("#1e1e1e")
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export (String,"Default","Clean","Gradient","Minimal","Invert") var template : String = "Default" setget apply_template
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export (bool) var invert_chart : bool = false
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var templates : Dictionary = {}
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signal chart_plotted(chart)
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signal point_pressed(point)
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func _ready():
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apply_template(template)
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func _plot(source_ : String, delimiter_ : String, are_values_columns_ : bool, x_values_index_ : int, invert_chart_ : bool = false):
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randomize()
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load_font()
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PointData.hide()
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datas = read_datas(source_,delimiter_)
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count_functions()
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structure_datas(datas,are_values_columns_,x_values_index_)
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build_chart()
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calculate_pass()
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calculate_coordinates()
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calculate_colors()
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create_legend()
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emit_signal("chart_plotted")
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func plot():
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randomize()
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load_font()
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PointData.hide()
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if source == "" or source == null:
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Utilities._print_message("Can't plot a chart without a Source file. Please, choose it in editor, or use the custom function _plot().",1)
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return
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datas = read_datas(source,delimiter)
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count_functions()
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structure_datas(datas,are_values_columns,x_values_index)
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build_chart()
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calculate_pass()
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calculate_coordinates()
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calculate_colors()
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create_legend()
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emit_signal("chart_plotted")
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func calculate_colors():
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if function_colors.empty() or function_colors.size() < functions:
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for function in functions:
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function_colors.append(Color("#1e1e1e"))
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func load_font():
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if font != null:
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font_size = font.get_height()
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var theme : Theme = Theme.new()
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theme.set_default_font(font)
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PointData.set_theme(theme)
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else:
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var lbl = Label.new()
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font = lbl.get_font("")
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lbl.free()
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if bold_font != null:
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PointData.Data.set("custom_fonts/font",bold_font)
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func read_datas(source : String, delimiter : String):
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var file : File = File.new()
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file.open(source,File.READ)
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var content : Array
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while not file.eof_reached():
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var line : PoolStringArray = file.get_csv_line(delimiter)
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content.append(line)
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file.close()
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for data in content:
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if data.size() < 2:
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content.erase(data)
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return content
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func structure_datas(database : Array, are_values_columns : bool, x_values_index : int):
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# @x_values_index can be either a column or a row relative to x values
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# @y_values can be either a column or a row relative to y values
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self.are_values_columns = are_values_columns
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match are_values_columns:
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true:
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for row in database.size():
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var t_vals : Array
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for column in database[row].size():
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if column == x_values_index:
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var x_data = database[row][column]
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if x_data.is_valid_float() or x_data.is_valid_integer():
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x_datas.append(x_data as float)
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else:
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x_datas.append(x_data.replace(",",".") as float)
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else:
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if row != 0:
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var y_data = database[row][column]
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if y_data.is_valid_float() or y_data.is_valid_integer():
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t_vals.append(y_data as float)
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else:
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t_vals.append(y_data.replace(",",".") as float)
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else:
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y_labels.append(str(database[row][column]))
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if not t_vals.empty():
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y_datas.append(t_vals)
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x_label = str(x_datas.pop_front())
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false:
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for row in database.size():
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if row == x_values_index:
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x_datas = (database[row])
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x_label = x_datas.pop_front() as String
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else:
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var values = database[row] as Array
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y_labels.append(values.pop_front() as String)
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y_datas.append(values)
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for data in y_datas:
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for value in data.size():
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data[value] = data[value] as float
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# draw y labels
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var to_order : Array
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var to_order_min : Array
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for cluster in y_datas.size():
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# define x_chors and y_chors
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var ordered_cluster = y_datas[cluster] as Array
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ordered_cluster.sort()
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ordered_cluster = PoolIntArray(ordered_cluster)
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var margin_max = ordered_cluster[ordered_cluster.size()-1]
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var margin_min = ordered_cluster[0]
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to_order.append(margin_max)
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to_order_min.append(margin_min)
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to_order.sort()
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to_order_min.sort()
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var margin = to_order.pop_back()
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if not origin_at_zero:
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y_margin_min = to_order_min.pop_front()
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v_dist = y_decim * pow(10.0,str(margin).length()-2)
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var multi = 0
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var p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
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y_chors.append(p as String)
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while p < margin:
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multi+=1
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p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
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y_chors.append(p as String)
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# draw x_labels
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if not show_x_values_as_labels:
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to_order.clear()
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to_order = x_datas as PoolIntArray
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to_order.sort()
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margin = to_order.pop_back()
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if not origin_at_zero:
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x_margin_min = to_order.pop_front()
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h_dist = x_decim * pow(10.0,str(margin).length()-2)
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multi = 0
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p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
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x_labels.append(p as String)
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while p < margin:
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multi+=1
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p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
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x_labels.append(p as String)
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func build_chart():
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SIZE = get_size()
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origin = Vector2(OFFSET.x,SIZE.y-OFFSET.y)
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func calculate_pass():
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if invert_chart:
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x_chors = y_labels as PoolStringArray
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else:
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if show_x_values_as_labels:
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x_chors = x_datas as PoolStringArray
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else:
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x_chors = x_labels
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# calculate distance in pixel between 2 consecutive values/datas
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x_pass = (SIZE.x - OFFSET.x) / (x_chors.size()-1)
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y_pass = origin.y / (y_chors.size()-1)
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func calculate_coordinates():
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x_coordinates.clear()
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y_coordinates.clear()
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point_values.clear()
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point_positions.clear()
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if invert_chart:
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for column in y_datas[0].size():
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var single_coordinates : Array
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for row in y_datas:
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if origin_at_zero:
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single_coordinates.append((row[column]*y_pass)/v_dist)
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else:
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single_coordinates.append((row[column] - y_margin_min)*y_pass/v_dist)
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y_coordinates.append(single_coordinates)
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else:
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for cluster in y_datas:
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var single_coordinates : Array
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for value in cluster.size():
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if origin_at_zero:
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single_coordinates.append((cluster[value]*y_pass)/v_dist)
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else:
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single_coordinates.append((cluster[value] - y_margin_min)*y_pass/v_dist)
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y_coordinates.append(single_coordinates)
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if show_x_values_as_labels:
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for x in x_datas.size():
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x_coordinates.append(x_pass*x)
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else:
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for x in x_datas.size():
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if origin_at_zero:
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if invert_chart:
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x_coordinates.append(x_pass*x)
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else:
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x_coordinates.append(x_datas[x]*x_pass/h_dist)
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else:
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x_coordinates.append((x_datas[x] - x_margin_min)*x_pass/h_dist)
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for f in functions:
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point_values.append([])
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point_positions.append([])
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if invert_chart:
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for function in y_coordinates.size():
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for function_value in y_coordinates[function].size():
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if are_values_columns:
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point_positions[function_value].append(Vector2(x_coordinates[function]+origin.x, origin.y-y_coordinates[function][function_value]))
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point_values[function_value].append([x_datas[function_value],y_datas[function_value][function]])
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else:
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point_positions[function].append(Vector2(x_coordinates[function_value]+origin.x,origin.y-y_coordinates[function][function_value]))
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point_values[function].append([x_datas[function_value],y_datas[function_value][function]])
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else:
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for cluster in y_coordinates.size():
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for y in y_coordinates[cluster].size():
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if are_values_columns:
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point_values[y].append([x_datas[cluster],y_datas[cluster][y]])
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point_positions[y].append(Vector2(x_coordinates[cluster]+origin.x,origin.y-y_coordinates[cluster][y]))
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else:
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point_values[cluster].append([x_datas[y],y_datas[cluster][y]])
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point_positions[cluster].append(Vector2(x_coordinates[y]+origin.x,origin.y-y_coordinates[cluster][y]))
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func redraw():
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build_chart()
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calculate_pass()
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calculate_coordinates()
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update()
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func _draw():
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clear_points()
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draw_grid()
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draw_chart_outlines()
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var defined_colors : bool = false
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if function_colors.size():
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defined_colors = true
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for _function in point_values.size():
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var PointContainer : Control = Control.new()
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Points.add_child(PointContainer)
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for function_point in point_values[_function].size():
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var point : Point = point_node.instance()
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point.connect("_point_pressed",self,"point_pressed")
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point.connect("_mouse_entered",self,"show_data")
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point.connect("_mouse_exited",self,"hide_data")
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point.create_point(point_shape, function_colors[function_point if invert_chart else _function],
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Color.white, point_positions[_function][function_point],
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point.format_value(point_values[_function][function_point], false, false),
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y_labels[function_point if invert_chart else _function] as String)
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PointContainer.add_child(point)
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func create_legend():
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legend.clear()
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for function in functions:
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var function_legend = FunctionLegend.instance()
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var f_name : String
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if invert_chart:
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f_name = x_datas[function] as String
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else:
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f_name = y_labels[function]
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var legend_font : Font
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if font != null:
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legend_font = font
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if bold_font != null:
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legend_font = bold_font
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function_legend.create_legend(f_name,function_colors[function],bold_font,font_color)
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legend.append(function_legend)
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func draw_grid():
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# ascisse
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for p in x_chors.size():
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var point : Vector2 = origin+Vector2((p)*x_pass,0)
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# v grid
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draw_line(point,point-Vector2(0,SIZE.y-OFFSET.y),v_lines_color,0.2,true)
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# ascisse
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draw_line(point-Vector2(0,5),point,v_lines_color,1,true)
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draw_string(font,point+Vector2(-const_width/2*x_chors[p].length(),font_size+const_height),x_chors[p],font_color)
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# ordinate
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for p in y_chors.size():
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var point : Vector2 = origin-Vector2(0,(p)*y_pass)
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# h grid
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draw_line(point,point+Vector2(SIZE.x-OFFSET.x,0),h_lines_color,0.2,true)
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# ordinate
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draw_line(point,point+Vector2(5,0),h_lines_color,1,true)
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draw_string(font,point-Vector2(y_chors[p].length()*const_width+font_size,-const_height),y_chors[p],font_color)
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func draw_chart_outlines():
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draw_line(origin,SIZE-Vector2(0,OFFSET.y),box_color,1,true)
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draw_line(origin,Vector2(OFFSET.x,0),box_color,1,true)
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draw_line(Vector2(OFFSET.x,0),Vector2(SIZE.x,0),box_color,1,true)
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draw_line(Vector2(SIZE.x,0),SIZE-Vector2(0,OFFSET.y),box_color,1,true)
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var can_grab_x : bool = false
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var can_grab_y : bool = false
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var can_move : bool = false
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var range_mouse : float = 7
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#func _input(event):
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# if not can_grab_x and (event.position.x > (SIZE.x-range_mouse + rect_position.x) and event.position.x < (SIZE.x+range_mouse + rect_position.x)) :
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# set_default_cursor_shape(Control.CURSOR_HSIZE)
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# if Input.is_action_pressed("mouse_left"):
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# can_grab_x = true
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#
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# if Input.is_action_just_released("mouse_left") and can_grab_x:
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# can_grab_x = false
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#
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# if not can_grab_y and (event.position.y > ( rect_position.y + origin.y-range_mouse) and event.position.y < (rect_position.y+ origin.y+range_mouse)) :
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# set_default_cursor_shape(Control.CURSOR_VSIZE)
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# if Input.is_action_pressed("mouse_left"):
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# can_grab_y = true
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#
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# if Input.is_action_just_released("mouse_left") and can_grab_y:
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# can_grab_y = false
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#
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# if (event.position.x > SIZE.x-range_mouse+rect_position.x and event.position.x < SIZE.x+range_mouse + rect_position.x) and (event.position.y > rect_position.y+origin.y-range_mouse and event.position.y < rect_position.y+origin.y+range_mouse):
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# set_default_cursor_shape(Control.CURSOR_FDIAGSIZE)
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# if not (event.position.x > SIZE.x-range_mouse+rect_position.x and event.position.x < SIZE.x+range_mouse + rect_position.x) and not (event.position.y > rect_position.y+ origin.y-range_mouse and event.position.y < rect_position.y+origin.y+range_mouse ):
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# set_default_cursor_shape(Control.CURSOR_ARROW)
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#
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#func _process(delta):
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# if can_grab_x:
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# PointData.hide()
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# get_parent().rect_size.x = get_global_mouse_position().x - rect_position.x
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# redraw()
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#
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# if can_grab_y:
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# PointData.hide()
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# get_parent().rect_size.y = get_global_mouse_position().y - rect_position.y + OFFSET.y
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# redraw()
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func show_data(point):
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PointData.update_datas(point)
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PointData.show()
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func hide_data():
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PointData.hide()
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func clear_points():
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if Points.get_children():
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for function in Points.get_children():
|
|
function.queue_free()
|
|
for legend in Legend.get_children():
|
|
legend.queue_free()
|
|
|
|
func set_legend(l : Array):
|
|
legend = l
|
|
|
|
func get_legend():
|
|
return legend
|
|
|
|
func invert_chart():
|
|
invert_chart = !invert_chart
|
|
count_functions()
|
|
redraw()
|
|
create_legend()
|
|
|
|
func count_functions():
|
|
if are_values_columns:
|
|
if not invert_chart:
|
|
functions = datas[0].size()-1
|
|
else:
|
|
functions = datas.size()-1
|
|
else:
|
|
if invert_chart:
|
|
functions = datas[0].size()-1
|
|
else:
|
|
functions = datas.size()-1
|
|
|
|
func apply_template(template_name : String):
|
|
template = template_name
|
|
templates = Utilities._load_templates()
|
|
if template_name!=null and template_name!="":
|
|
var custom_template = templates[template.to_lower()]
|
|
function_colors = custom_template.function_colors
|
|
v_lines_color = Color(custom_template.v_lines_color)
|
|
h_lines_color = Color(custom_template.h_lines_color)
|
|
box_color = Color(custom_template.outline_color)
|
|
font_color = Color(custom_template.font_color)
|
|
property_list_changed_notify()
|