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
470 lines
13 KiB
GDScript
470 lines
13 KiB
GDScript
tool
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extends Chart2D
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class_name LineChart2D
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# [Linechart2D] - General purpose node for Line Charts
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# A line chart or line plot or line graph or curve chart is a type of chart which
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# displays information as a series of data points called 'markers'
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# connected by straight line segments.
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# It is a basic type of chart common in many fields. It is similar to a scatter plot
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# except that the measurement points are ordered (typically by their x-axis value)
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# and joined with straight line segments.
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# A line chart is often used to visualize a trend in data over intervals of time –
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# a time series – thus the line is often drawn chronologically.
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# In these cases they are known as run charts.
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# Source: Wikipedia
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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 _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"))
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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(
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Outlines,
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"add_point",
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Vector2(origin.x, 0),
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Vector2(SIZE.x, 0),
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drawing_duration * 0.5,
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Tween.TRANS_QUINT,
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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(
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Outlines,
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"add_point",
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Vector2(SIZE.x, 0),
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Vector2(SIZE.x, origin.y),
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drawing_duration * 0.5,
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Tween.TRANS_QUINT,
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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(
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Outlines,
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"add_point",
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Vector2(SIZE.x, origin.y),
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origin,
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drawing_duration * 0.5,
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Tween.TRANS_QUINT,
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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(
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Outlines,
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"add_point",
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origin,
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Vector2(origin.x, 0),
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drawing_duration * 0.5,
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Tween.TRANS_QUINT,
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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(
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v_grid,
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"add_point",
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point,
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point - Vector2(0, SIZE.y - OFFSET.y),
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drawing_duration / (x_chors.size()),
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Tween.TRANS_EXPO,
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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(
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h_grid,
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"add_point",
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point,
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Vector2(SIZE.x, point.y),
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drawing_duration / (y_chors.size()),
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Tween.TRANS_EXPO,
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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 line: Line2D = Line2D.new()
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var backline: Line2D = Line2D.new()
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construct_line(line, backline, f_index, function)
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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(
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point_shape,
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function_colors[f_index],
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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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if point < function.size() - 1:
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FunctionsTween.interpolate_method(
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line,
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"add_point",
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function[point],
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function[point + 1],
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drawing_duration / function.size(),
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Tween.TRANS_QUINT,
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Tween.EASE_OUT)
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FunctionsTween.start()
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yield(FunctionsTween, "tween_all_completed")
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func construct_line(line: Line2D, backline: Line2D, f_index: int, function: Array):
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var midtone = Color(
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Color(function_colors[f_index]).r,
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Color(function_colors[f_index]).g,
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Color(function_colors[f_index]).b,
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Color(function_colors[f_index]).a / 2)
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backline.set_width(3)
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backline.set_default_color(midtone)
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backline.antialiased = true
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Functions.add_child(backline)
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line.set_width(2)
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line.set_default_color(function_colors[f_index])
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line.antialiased = true
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Functions.add_child(line)
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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(
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x_coordinates[function] + origin.x,
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origin.y - y_coordinates[function][function_value]))
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point_values[function_value].append(
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[x_datas[function_value], y_datas[function_value][function]])
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else:
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point_positions[function].append(Vector2(
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x_coordinates[function_value] + origin.x,
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origin.y - y_coordinates[function][function_value]))
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point_values[function].append(
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[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(
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x_coordinates[cluster] + origin.x,
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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(
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x_coordinates[y] + origin.x,
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origin.y - y_coordinates[cluster][y]))
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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 _enter_tree():
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_ready()
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# Signal Repeaters
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func point_pressed(point: Point) -> Point:
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return point
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