mirror of
https://github.com/Relintai/pandemonium_engine_easy_charts.git
synced 2024-11-14 10:17:24 +01:00
402 lines
13 KiB
GDScript
402 lines
13 KiB
GDScript
extends Control
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class_name Chart
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var x: Array
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var y: Array
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var x_min_max: Pair = Pair.new()
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var y_min_max: Pair = Pair.new()
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var x_sampled: SampledAxis = SampledAxis.new()
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var y_sampled: SampledAxis = SampledAxis.new()
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var x_labels: Array = []
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var y_labels: Array = []
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###### STYLE
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var drawing_options: DrawingOptions = DrawingOptions.new()
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var chart_properties: ChartProperties = ChartProperties.new()
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#### INTERNAL
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# The bounding_box of the chart
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var node_box: Rect2
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var bounding_box: Rect2
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# The Reference Rectangle to plot samples
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# It is the @bounding_box Rectangle inverted on the Y axis
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var x_sampled_domain: Pair
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var y_sampled_domain: Pair
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var sampled_domain_rect: Rect2
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var _padding_offset: Vector2 = Vector2(20.0, 20.0)
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var _internal_offset: Vector2 = Vector2(15.0, 15.0)
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var y_has_decimals: bool
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var _y_label_size: Vector2 = Vector2.ZERO # offset only on the X axis
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var _y_label_offset: int = 15 # offset only on the X axis
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var _y_ticklabel_size: Vector2 # offset only on the X axis
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var _y_ticklabel_offset: int = 5 # offset only on the X axis
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var _y_tick_size: int = 7
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var x_has_decimals: bool
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var _x_label_size: Vector2 = Vector2.ZERO # offset only on the X axis
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var _x_label_offset: int = 15 # offset only on the X axis
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var _x_ticklabel_size: Vector2 # offset only on the X axis
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var _x_ticklabel_offset: int = 5 # offset only on the X axis
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var _x_tick_size: int = 7
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###########
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func plot(x: Array, y: Array, drawing_options: DrawingOptions = DrawingOptions.new(), chart_properties: ChartProperties = ChartProperties.new()) -> void:
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pass
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func _map_pair(val: float, rel: Pair, ref: Pair) -> float:
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return range_lerp(val, rel.left, rel.right, ref.left, ref.right)
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func _has_decimals(values: Array) -> bool:
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var temp: Array = values.duplicate(true)
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if temp[0] is Array:
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for dim in temp:
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for val in dim:
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if abs(fmod(val, 1)) > 0.0:
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return true
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else:
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for val in temp:
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if abs(fmod(val, 1)) > 0.0:
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return true
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return false
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func _find_min_max(values: Array) -> Pair:
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var temp: Array = values.duplicate(true)
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var _min: float
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var _max: float
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if temp[0] is Array:
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var min_ts: Array
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var max_ts: Array
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for dim in temp:
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min_ts.append(dim.min())
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max_ts.append(dim.max())
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_min = min_ts.min()
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_max = max_ts.max()
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else:
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_min = temp.min()
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_max = temp.max()
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return Pair.new(_min, _max)
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func _sample_values(values: Array, rel_values: Pair, ref_values: Pair) -> SampledAxis:
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if values.empty():
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printerr("Trying to plot an empty dataset!")
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return SampledAxis.new()
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if values[0] is Array:
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if values.size() > 1:
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for dim in values:
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if values[0].size() != dim.size():
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printerr("Cannot plot a dataset with dimensions of different size!")
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return SampledAxis.new()
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var temp: Array = values.duplicate(true)
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var _min: float
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var _max: float
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var rels: Array = []
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if temp[0] is Array:
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for t_dim in temp:
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var rels_t: Array = []
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for val in t_dim:
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rels_t.append(_map_pair(val, rel_values, ref_values))
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rels.append(rels_t)
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else:
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for val in temp:
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rels.append(_map_pair(val, rel_values, ref_values))
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return SampledAxis.new(rels, rel_values)
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func _pre_process_drawings() -> void:
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var t_gr: Rect2 = get_global_rect()
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#### @node_box size, which is the whole "frame"
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node_box = Rect2(Vector2.ZERO, t_gr.size - t_gr.position)
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#### drawing size for defining @bounding_box
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x_min_max = _find_min_max(x)
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y_min_max = _find_min_max(y)
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#### calculating offset from the @node_box for the @bounding_box.
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var offset: Vector2 = _padding_offset
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### if @labels drawing is enabled, calcualte offsets
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if drawing_options.labels:
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### labels (X, Y, Title)
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_x_label_size = drawing_options.font.get_string_size(chart_properties.x_label)
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_y_label_size = drawing_options.font.get_string_size(chart_properties.y_label)
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### tick labels
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###### --- X
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x_has_decimals = _has_decimals(x)
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# calculate the string length of the largest value on the Y axis.
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# remember that "-" sign adds additional pixels, and it is relative only to negative numbers!
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var x_max_formatted: String = ("%.2f" if x_has_decimals else "%s") % x_min_max.right
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_x_ticklabel_size = drawing_options.font.get_string_size(x_max_formatted)
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offset.y += _x_label_offset + _x_label_size.y + _x_ticklabel_offset + _x_ticklabel_size.y
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###### --- Y
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y_has_decimals = _has_decimals(y)
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# calculate the string length of the largest value on the Y axis.
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# remember that "-" sign adds additional pixels, and it is relative only to negative numbers!
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var y_max_formatted: String = ("%.2f" if y_has_decimals else "%s") % y_min_max.right
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if y_min_max.left < 0:
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# negative number
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var y_min_formatted: String = ("%.2f" if y_has_decimals else "%s") % y_min_max.left
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if y_min_formatted.length() >= y_max_formatted.length():
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_y_ticklabel_size = drawing_options.font.get_string_size(y_min_formatted)
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else:
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_y_ticklabel_size = drawing_options.font.get_string_size(y_max_formatted)
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else:
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_y_ticklabel_size = drawing_options.font.get_string_size(y_max_formatted)
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offset.x += _y_label_offset + _y_label_size.y + _y_ticklabel_offset + _y_ticklabel_size.x
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### if @ticks drawing is enabled, calculate offsets
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if drawing_options.ticks:
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offset.x += _y_tick_size
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offset.y += _x_tick_size
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### @bounding_box, where the points will be plotted
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bounding_box = Rect2(
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offset,
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t_gr.size - (offset * 2)
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)
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### @sampled_domain, which are the domain relative to the sampled values
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### x (real value) --> sampling --> x_sampled (pixel value in canvas)
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x_sampled_domain = Pair.new(bounding_box.position.x + _internal_offset.x, bounding_box.position.x + bounding_box.size.x - _internal_offset.y)
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y_sampled_domain = Pair.new(bounding_box.size.y + bounding_box.position.y - _internal_offset.x, bounding_box.position.y + _internal_offset.y)
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sampled_domain_rect = Rect2(
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Vector2(x_sampled_domain.left, y_sampled_domain.left),
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Vector2(x_sampled_domain.right, y_sampled_domain.right)
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)
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func _pre_process_sampling() -> void:
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# samples
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x_sampled = _sample_values(x, x_min_max, x_sampled_domain)
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y_sampled = _sample_values(y, y_min_max, y_sampled_domain)
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func _pre_process() -> void:
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_pre_process_drawings()
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_pre_process_sampling()
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func _draw_points() -> void:
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pass
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func _draw_borders() -> void:
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draw_rect(node_box, Color.red, false, 1, true)
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func _draw_bounding_box() -> void:
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draw_rect(bounding_box, drawing_options.colors.bounding_box, false, 1, true)
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# # (debug)
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# var half: Vector2 = (bounding_box.size) / 2
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# draw_line(bounding_box.position + Vector2(half.x, 0), bounding_box.position + Vector2(half.x, bounding_box.size.y), Color.red, 3, false)
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# draw_line(bounding_box.position + Vector2(0, half.y), bounding_box.position + Vector2(bounding_box.size.x, half.y), Color.red, 3, false)
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func _draw_origin() -> void:
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var xorigin: float = _map_pair(0.0, x_min_max, x_sampled_domain)
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var yorigin: float = _map_pair(0.0, y_min_max, y_sampled_domain)
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draw_line(Vector2(xorigin, bounding_box.position.y), Vector2(xorigin, bounding_box.position.y + bounding_box.size.y), Color.black, 1, 0)
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draw_line(Vector2(bounding_box.position.x, yorigin), Vector2(bounding_box.position.x + bounding_box.size.x, yorigin), Color.black, 1, 0)
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draw_string(drawing_options.font, Vector2(xorigin, yorigin) - Vector2(15, -15), "O", drawing_options.colors.bounding_box)
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func _draw_background() -> void:
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draw_rect(node_box, Color.white, true, 1.0, false)
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# # (debug)
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# var half: Vector2 = node_box.size / 2
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# draw_line(Vector2(half.x, node_box.position.y), Vector2(half.x, node_box.size.y), Color.red, 3, false)
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# draw_line(Vector2(node_box.position.x, half.y), Vector2(node_box.size.x, half.y), Color.red, 3, false)
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func _draw_grid() -> void:
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var validation: int = _validate_sampled_axis(x_sampled, y_sampled)
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if not validation == OK:
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printerr("Cannot draw grid for invalid dataset! Error: %s" % validation)
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return
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# draw vertical lines
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var v_lines: float = (x_sampled.min_max.right - x_sampled.min_max.left) / (chart_properties.x_scale - 1)
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var x_labels_spacing: float = x_labels.size() / (chart_properties.x_scale - 1)
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for _x in chart_properties.x_scale:
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var x_val: float = _x * v_lines + x_sampled.min_max.left
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var p1: Vector2 = Vector2(
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range_lerp(x_val, x_sampled.min_max.left, x_sampled.min_max.right, x_sampled_domain.left, x_sampled_domain.right),
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bounding_box.position.y
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)
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var p2: Vector2 = Vector2(
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range_lerp(x_val, x_sampled.min_max.left, x_sampled.min_max.right, x_sampled_domain.left, x_sampled_domain.right),
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bounding_box.size.y + bounding_box.position.y
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)
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# Draw V labels
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if drawing_options.labels:
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var tick_lbl: String = ""
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if x_labels.empty():
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tick_lbl = ("%.2f" if x_has_decimals else "%s") % x_val
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else:
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tick_lbl = x_labels[clamp(x_labels_spacing * _x, 0, x_labels.size() - 1)]
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draw_string(
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drawing_options.font,
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p2 + Vector2(
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- drawing_options.font.get_string_size(tick_lbl).x / 2,
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_x_label_size.y + _x_tick_size
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),
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tick_lbl,
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drawing_options.colors.bounding_box
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)
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# Draw V Ticks
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if drawing_options.ticks:
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draw_line(p2, p2 + Vector2(0, _x_tick_size), drawing_options.colors.bounding_box, 1, true)
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# Draw V Grid Lines
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if drawing_options.grid:
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draw_line(p1, p2, drawing_options.colors.grid, 1, true)
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# draw horizontal lines
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var h_lines: float = (y_sampled.min_max.right - y_sampled.min_max.left) / (chart_properties.y_scale - 1)
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var y_labels_spacing: float = y_labels.size() / (chart_properties.y_scale - 1)
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for _y in chart_properties.y_scale:
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var y_val: float = _y * h_lines + y_sampled.min_max.left
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var p1: Vector2 = Vector2(
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bounding_box.position.x,
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range_lerp(y_val, y_sampled.min_max.left, y_sampled.min_max.right, y_sampled_domain.left, y_sampled_domain.right)
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)
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var p2: Vector2 = Vector2(
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bounding_box.size.x + bounding_box.position.x,
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range_lerp(y_val, y_sampled.min_max.left, y_sampled.min_max.right, y_sampled_domain.left, y_sampled_domain.right)
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)
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# Draw H labels
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if drawing_options.labels:
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var tick_lbl: String = ""
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if y_labels.empty():
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tick_lbl = ("%.2f" if y_has_decimals else "%s") % y_val
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else:
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tick_lbl = y_labels[clamp(y_labels * _y, 0, y_labels.size() - 1)]
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draw_string(
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drawing_options.font,
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p1 - Vector2(drawing_options.font.get_string_size(tick_lbl).x + _y_ticklabel_offset + _y_tick_size, - _y_ticklabel_size.y * 0.35),
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tick_lbl,
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drawing_options.colors.bounding_box
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)
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# Draw H Ticks
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if drawing_options.ticks:
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draw_line(
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p1,
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p1 - Vector2(_y_tick_size, 0),
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drawing_options.colors.bounding_box, 1, true)
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# Draw H Grid Lines
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if drawing_options.grid:
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draw_line(p1, p2, drawing_options.colors.grid, 1, true)
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func _create_canvas_label(text: String, position: Vector2, rotation: float = 0.0) -> Label:
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var lbl: Label = Label.new()
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$Canvas.add_child(lbl)
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lbl.set("custom_fonts/font", drawing_options.font)
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lbl.set_text(text)
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lbl.modulate = drawing_options.colors.bounding_box
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lbl.rect_rotation = rotation
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lbl.rect_position = position
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return lbl
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func _draw_yaxis_label() -> void:
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_create_canvas_label(
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chart_properties.y_label,
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Vector2(_padding_offset.x, (node_box.size.y / 2) + (_y_label_size.x / 2)),
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-90
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)
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func _draw_xaxis_label() -> void:
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_create_canvas_label(
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chart_properties.x_label,
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Vector2(
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node_box.size.x/2 - (_x_label_size.x / 2),
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node_box.size.y - _padding_offset.y - _x_label_size.y
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)
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)
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func _draw_title() -> void:
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_create_canvas_label(
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chart_properties.title,
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Vector2(node_box.size.x / 2, _padding_offset.y*2) - (drawing_options.font.get_string_size(chart_properties.title) / 2)
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)
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func _clear_points() -> void:
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pass
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# for point in $Points.get_children():
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# point.queue_free()
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func _clear_canvas_labels() -> void:
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for label in $Canvas.get_children():
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label.queue_free()
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func _clear() -> void:
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_clear_points()
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_clear_canvas_labels()
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func _draw():
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_clear()
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_pre_process()
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if drawing_options.background:
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_draw_background()
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if drawing_options.borders:
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_draw_borders()
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if drawing_options.labels:
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_draw_xaxis_label()
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_draw_yaxis_label()
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_draw_title()
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if drawing_options.grid or drawing_options.ticks or drawing_options.labels:
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_draw_grid()
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if drawing_options.bounding_box:
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_draw_bounding_box()
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if drawing_options.origin:
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_draw_origin()
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if drawing_options.points:
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_draw_points()
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func _validate_sampled_axis(x_data: SampledAxis, y_data: SampledAxis) -> int:
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var error: int = 0 # OK
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if x_data.values.empty() or y_data.values.empty():
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# Either there are no X or Y
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error = 1
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elif y_data.values[0] is Array:
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for dim in y_data.values:
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if dim.size() != x_data.values.size():
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error = 3 # one of Y dim has not X length
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break
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else:
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if y_data.values.size() != x_data.values.size():
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# X and Y samples don't have same length
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error = 2
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return error
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