mirror of
https://github.com/Relintai/pandemonium_engine_easy_charts.git
synced 2024-11-14 10:17:24 +01:00
d46e099717
* Fixed ScatterChart to work like LineChart when are_values_columns is true * Fixed labeling spaguetti and added offset. * Fixed indentation to match GDScript style guide * Fix distances calculations Note that I removed the origin_at_zero conditional at calculate_coordinates because I already fix y_margin_min to 0 at structure_datas. * Add missing features to ScatterChart I added the missing features from LineChart to ScatterChart (like treshold and some properties) in preparation to creation of a Parent Class common to both. This way the changes can be traced easily. * Add BaseClass for Scatter and Line Charts * Changes to property_list getter * Rename ScatterChartBase.gd to scatter_chart_base.gd * Filenames changed to match GDscript Style Guide From Godot so it doesn't break the links. * Fixed some dependencies on chart and chart2D
449 lines
14 KiB
GDScript
449 lines
14 KiB
GDScript
tool
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extends Chart2D
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class_name ScatterChart2D
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"""
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[ScatterChart2D] - 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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func _point_plotted():
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pass
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func _ready():
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_get_children()
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func _get_children():
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OutlinesTween = $OutlinesTween
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PointTween = $PointTween
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Functions = $Functions
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GridTween = $GridTween
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PointData = $PointData/PointData
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Outlines = $Outlines
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Grid = $Grid
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func _set_size(size : Vector2):
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SIZE = size
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build_chart()
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if Engine.editor_hint:
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_get_children()
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Outlines.set_point_position(0,Vector2(origin.x,0))
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Outlines.set_point_position(1,Vector2(SIZE.x,0))
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Outlines.set_point_position(2,Vector2(SIZE.x,origin.y))
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Outlines.set_point_position(3,origin)
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Outlines.set_point_position(4,Vector2(origin.x,0))
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Grid.get_node("VLine").set_point_position(0,Vector2((OFFSET.x+SIZE.x)/2,0))
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Grid.get_node("VLine").set_point_position(1,Vector2((OFFSET.x+SIZE.x)/2,origin.y))
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Grid.get_node("HLine").set_point_position(0,Vector2(origin.x,origin.y/2))
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Grid.get_node("HLine").set_point_position(1,Vector2(SIZE.x,origin.y/2))
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func clear():
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Outlines.points = []
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Grid.get_node("HLine").queue_free()
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Grid.get_node("VLine").queue_free()
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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 _plot(source_ : String, delimiter_ : String, are_values_columns_ : bool, x_values_index_ : int):
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randomize()
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clear()
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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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draw_chart()
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create_legend()
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emit_signal("chart_plotted", self)
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func plot():
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randomize()
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clear()
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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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draw_chart()
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create_legend()
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emit_signal("chart_plotted", self)
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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") as Color)
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func draw_chart():
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draw_outlines()
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draw_v_grid()
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draw_h_grid()
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draw_functions()
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func draw_outlines():
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if boxed:
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Outlines.set_default_color(box_color)
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OutlinesTween.interpolate_method(Outlines,"add_point",
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Vector2(origin.x,0),Vector2(SIZE.x,0),drawing_duration*0.5,Tween.TRANS_QUINT,Tween.EASE_OUT)
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OutlinesTween.start()
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yield(OutlinesTween,"tween_all_completed")
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OutlinesTween.interpolate_method(Outlines,"add_point",
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Vector2(SIZE.x,0),Vector2(SIZE.x,origin.y),drawing_duration*0.5,Tween.TRANS_QUINT,Tween.EASE_OUT)
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OutlinesTween.start()
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yield(OutlinesTween,"tween_all_completed")
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OutlinesTween.interpolate_method(Outlines,"add_point",
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Vector2(SIZE.x,origin.y),origin,drawing_duration*0.5,Tween.TRANS_QUINT,Tween.EASE_OUT)
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OutlinesTween.start()
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yield(OutlinesTween,"tween_all_completed")
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OutlinesTween.interpolate_method(Outlines,"add_point",
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origin,Vector2(origin.x,0),drawing_duration*0.5,Tween.TRANS_QUINT,Tween.EASE_OUT)
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OutlinesTween.start()
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yield(OutlinesTween,"tween_all_completed")
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func draw_v_grid():
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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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var v_grid : Line2D = Line2D.new()
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Grid.add_child(v_grid)
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v_grid.set_width(1)
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v_grid.set_default_color(v_lines_color)
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add_label(point+Vector2(-const_width/2*x_chors[p].length(),font_size/2), x_chors[p])
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GridTween.interpolate_method(v_grid,"add_point",point,point-Vector2(0,SIZE.y-OFFSET.y),drawing_duration/(x_chors.size()),Tween.TRANS_EXPO,Tween.EASE_OUT)
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GridTween.start()
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yield(GridTween,"tween_all_completed")
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func draw_h_grid():
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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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var h_grid : Line2D = Line2D.new()
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Grid.add_child(h_grid)
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h_grid.set_width(1)
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h_grid.set_default_color(h_lines_color)
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add_label(point-Vector2(y_chors[p].length()*const_width+font_size,font_size/2), y_chors[p])
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GridTween.interpolate_method(h_grid,"add_point",point,Vector2(SIZE.x,point.y),drawing_duration/(y_chors.size()),Tween.TRANS_EXPO,Tween.EASE_OUT)
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GridTween.start()
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yield(GridTween,"tween_all_completed")
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func add_label(point : Vector2, text : String):
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var lbl : Label = Label.new()
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if font != null:
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lbl.set("custom_fonts/font",font)
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lbl.set("custom_colors/font_color",font_color)
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Grid.add_child(lbl)
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lbl.rect_position = point
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lbl.set_text(text)
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func draw_functions():
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for function in point_positions.size():
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draw_function(function,point_positions[function])
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func draw_function(f_index : int, function : Array):
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var pointv : Point
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for point in function.size():
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pointv = point_node.instance()
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Functions.add_child(pointv)
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pointv.connect("_mouse_entered",self,"show_data")
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pointv.connect("_mouse_exited",self,"hide_data")
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pointv.connect("_point_pressed",self,"point_pressed")
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pointv.create_point(point_shape, function_colors[f_index], Color.white, function[point],
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pointv.format_value(point_values[f_index][point],false,false),
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y_labels[point if invert_chart else f_index] as String)
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yield(get_tree().create_timer(drawing_duration/function.size()), "timeout")
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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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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 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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function_colors.clear()
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if Functions.get_children():
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for function in Functions.get_children():
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function.queue_free()
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func set_legend(l : Array):
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legend = l
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func get_legend():
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return legend
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func invert_chart():
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invert_chart = !invert_chart
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count_functions()
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redraw()
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create_legend()
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func count_functions():
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if are_values_columns:
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if not invert_chart:
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functions = datas[0].size()-1
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else:
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functions = datas.size()-1
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else:
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if invert_chart:
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functions = datas[0].size()-1
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else:
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functions = datas.size()-1
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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 apply_template(template_name : int):
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template = template_name
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templates = Utilities._load_templates()
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if template_name!=null:
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var custom_template = templates.get(templates.keys()[template_name])
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function_colors = custom_template.function_colors as PoolColorArray
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v_lines_color = Color(custom_template.v_lines_color)
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h_lines_color = Color(custom_template.h_lines_color)
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box_color = Color(custom_template.outline_color)
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font_color = Color(custom_template.font_color)
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property_list_changed_notify()
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if Engine.editor_hint:
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_get_children()
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Outlines.set_default_color(box_color)
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Grid.get_node("VLine").set_default_color(v_lines_color)
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Grid.get_node("HLine").set_default_color(h_lines_color)
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func _enter_tree():
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_ready()
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