pandemonium_engine_easy_charts/addons/easy_charts/BarChart/BarChart.gd

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tool
extends Chart
class_name BarChart
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"""
[BarChart] - General purpose node for Bar Charts
A bar chart or bar graph is a chart or graph that presents categorical data with
rectangular bars with heights or lengths proportional to the values that they represent.
The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes
called a column chart.
A bar graph shows comparisons among discrete categories. One axis of the chart shows
the specific categories being compared, and the other axis represents a measured value.
Some bar graphs present bars clustered in groups of more than one, showing the
values of more than one measured variable.
/ source : Wikipedia /
"""
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# ---------------------
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func _get_property_list():
return [
# Chart Properties
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Properties/are_values_columns",
"type": TYPE_BOOL
},
{
"hint": PROPERTY_HINT_RANGE,
"hint_string": "-1,100,1",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Properties/labels_index",
"type": TYPE_INT
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Properties/show_x_values_as_labels",
"type": TYPE_BOOL
},
{
"hint": PROPERTY_HINT_RANGE,
"hint_string": "1,20,0.5",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Properties/column_width",
"type": TYPE_REAL
},
{
"hint": PROPERTY_HINT_RANGE,
"hint_string": "0,10,0.5",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Properties/column_gap",
"type": TYPE_REAL
},
# Chart Display
{
"hint": PROPERTY_HINT_RANGE,
"hint_string": "0.1,10",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Display/x_decim",
"type": TYPE_REAL
},
{
"hint": PROPERTY_HINT_RANGE,
"hint_string": "0.1,10",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Display/y_decim",
"type": TYPE_REAL
},
# Chart Style
{
"hint": 24,
"hint_string": "%d/%d:%s"%[TYPE_INT, PROPERTY_HINT_ENUM,
PoolStringArray(PointShapes.keys()).join(",")],
"name": "Chart_Style/points_shape",
"type": TYPE_ARRAY,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/function_colors",
"type": TYPE_COLOR_ARRAY
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/box_color",
"type": TYPE_COLOR
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/v_lines_color",
"type": TYPE_COLOR
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/h_lines_color",
"type": TYPE_COLOR
},
{
"class_name": "Font",
"hint": PROPERTY_HINT_RESOURCE_TYPE,
"hint_string": "Font",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/font",
"type": TYPE_OBJECT
},
{
"class_name": "Font",
"hint": PROPERTY_HINT_RESOURCE_TYPE,
"hint_string": "Font",
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/bold_font",
"type": TYPE_OBJECT
},
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/font_color",
"type": TYPE_COLOR
},
{
"hint": PROPERTY_HINT_ENUM,
"hint_string": PoolStringArray(TemplatesNames.keys()).join(","),
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Style/template",
"type": TYPE_INT
},
# Chart Modifiers
{
"hint": PROPERTY_HINT_NONE,
"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
"name": "Chart_Modifiers/invert_chart",
"type": TYPE_BOOL
},
]
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func build_chart():
SIZE = get_size()
origin = Vector2(OFFSET.x,SIZE.y-OFFSET.y)
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func structure_datas(database : Array, are_values_columns : bool, x_values_index : int):
# @x_values_index can be either a column or a row relative to x values
# @y_values can be either a column or a row relative to y values
self.are_values_columns = are_values_columns
match are_values_columns:
true:
for row in database.size():
var t_vals : Array
for column in database[row].size():
if column == x_values_index:
var x_data = database[row][column]
if x_data.is_valid_float() or x_data.is_valid_integer():
x_datas.append(x_data as float)
else:
x_datas.append(x_data.replace(",",".") as float)
else:
if row != 0:
var y_data = database[row][column]
if y_data.is_valid_float() or y_data.is_valid_integer():
t_vals.append(y_data as float)
else:
t_vals.append(y_data.replace(",",".") as float)
else:
y_labels.append(str(database[row][column]))
if not t_vals.empty():
y_datas.append(t_vals)
x_label = str(x_datas.pop_front())
false:
for row in database.size():
if row == x_values_index:
x_datas = (database[row])
x_label = x_datas.pop_front() as String
else:
var values = database[row] as Array
y_labels.append(values.pop_front() as String)
y_datas.append(values)
for data in y_datas:
for value in data.size():
data[value] = data[value] as float
# draw y labels
var to_order : Array
var to_order_min : Array
for cluster in y_datas.size():
# define x_chors and y_chors
var ordered_cluster = y_datas[cluster] as Array
ordered_cluster.sort()
ordered_cluster = PoolIntArray(ordered_cluster)
var margin_max = ordered_cluster[ordered_cluster.size()-1]
var margin_min = ordered_cluster[0]
to_order.append(margin_max)
to_order_min.append(margin_min)
to_order.sort()
to_order_min.sort()
var margin = to_order.pop_back()
if not origin_at_zero:
y_margin_min = to_order_min.pop_front()
v_dist = y_decim * pow(10.0,str(margin).length()-2)
var multi = 0
var p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
y_chors.append(p as String)
while p < margin:
multi+=1
p = (v_dist*multi) + ((y_margin_min) if not origin_at_zero else 0)
y_chors.append(p as String)
# draw x_labels
if not show_x_values_as_labels:
to_order.clear()
to_order = x_datas as PoolIntArray
to_order.sort()
margin = to_order.pop_back()
if not origin_at_zero:
x_margin_min = to_order.pop_front()
h_dist = x_decim * pow(10.0,str(margin).length()-2)
multi = 0
p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
x_labels.append(p as String)
while p < margin:
multi+=1
p = (h_dist*multi) + ((x_margin_min) if not origin_at_zero else 0)
x_labels.append(p as String)
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func calculate_pass():
if invert_chart:
x_chors = y_labels as PoolStringArray
else:
if show_x_values_as_labels:
x_chors = x_datas as PoolStringArray
else:
x_chors = x_labels
# calculate distance in pixel between 2 consecutive values/datas
if not are_values_columns:
x_pass = (SIZE.x - OFFSET.x*2 - (column_width) * ( y_datas.size() if not invert_chart else y_datas[0].size()+1 ) - column_gap - column_width/2) / ((x_chors.size()-1) if x_chors.size()!=1 else 1)
else:
x_pass = (SIZE.x - OFFSET.x*2 - (column_width) * ( y_datas.size() if invert_chart else y_datas[0].size()+1 ) - column_gap - column_width/2) / (x_chors.size()-1)
y_pass = origin.y / (y_chors.size()-1)
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func calculate_coordinates():
x_coordinates.clear()
y_coordinates.clear()
point_values.clear()
point_positions.clear()
if invert_chart:
for column in y_datas[0].size():
var single_coordinates : Array
for row in y_datas:
if origin_at_zero:
single_coordinates.append((row[column]*y_pass)/v_dist)
else:
single_coordinates.append((row[column] - y_margin_min)*y_pass/v_dist)
y_coordinates.append(single_coordinates)
else:
for cluster in y_datas:
var single_coordinates : Array
for value in cluster.size():
if origin_at_zero:
single_coordinates.append((cluster[value]*y_pass)/v_dist)
else:
single_coordinates.append((cluster[value] - y_margin_min)*y_pass/v_dist)
y_coordinates.append(single_coordinates)
if show_x_values_as_labels:
for x in x_datas.size():
x_coordinates.append(x_pass*x)
else:
for x in x_datas.size():
if origin_at_zero:
if not invert_chart:
x_coordinates.append(x_pass*x)
else:
x_coordinates.append(x*x_pass/h_dist)
else:
x_coordinates.append((x_datas[x] - x_margin_min)*x_pass/h_dist)
for f in functions:
point_values.append([])
point_positions.append([])
if invert_chart:
for function in y_coordinates.size():
for function_value in y_coordinates[function].size():
if are_values_columns:
point_values[function].append([x_datas[function_value],y_datas[function_value][function]])
point_positions[function].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*function + x_coordinates[function_value]+origin.x,origin.y-y_coordinates[function][function_value]))
else:
point_positions[function].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*function + x_coordinates[function_value]+origin.x,origin.y-y_coordinates[function][function_value]))
point_values[function].append([x_datas[function_value],y_datas[function_value][function]])
else:
for cluster in y_coordinates.size():
for y in y_coordinates[cluster].size():
if are_values_columns:
point_positions[y].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*y + x_coordinates[cluster] + origin.x, origin.y-y_coordinates[cluster][y]))
point_values[y].append([x_datas[cluster],y_datas[cluster][y]])
else:
point_values[cluster].append([x_datas[y],y_datas[cluster][y]])
point_positions[cluster].append(Vector2(OFFSET.x/2 + column_width/2 + (column_width + column_gap)*cluster + x_coordinates[y]+origin.x,origin.y-y_coordinates[cluster][y]))
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func _draw():
clear_points()
draw_grid()
draw_chart_outlines()
var defined_colors : bool = false
if function_colors.size():
defined_colors = true
for _function in point_values.size():
var PointContainer : Control = Control.new()
Points.add_child(PointContainer)
for function_point in point_values[_function].size():
var point : Point = point_node.instance()
point.connect("_point_pressed",self,"point_pressed")
point.connect("_mouse_entered",self,"show_data")
point.connect("_mouse_exited",self,"hide_data")
point.create_point(points_shape[_function], function_colors[function_point if invert_chart else _function],
Color.white, point_positions[_function][function_point],
point.format_value(point_values[_function][function_point], false, false),
y_labels[function_point if invert_chart else _function] as String)
PointContainer.add_child(point)
point.rect_size.y = origin.y - point_positions[_function][function_point].y
draw_line( Vector2(point_positions[_function][function_point].x, origin.y),
point_positions[_function][function_point], function_colors[_function], column_width, true)
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# draw_string(font, Vector2(point_positions[_function][function_point].x, origin.y+10), y_labels[function_point], font_color)
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func draw_grid():
# ascisse
for p in x_chors.size():
var point : Vector2 = origin+Vector2((p)*x_pass,0)
# v grid
draw_line(point,point-Vector2(0,SIZE.y-OFFSET.y),v_lines_color,0.2,true)
# ascisse
draw_line(point-Vector2(0,5),point,v_lines_color,1,true)
var calculated_gap : float
if not are_values_columns:
calculated_gap = ( y_datas.size() if not invert_chart else y_datas[0].size()+1 )
else:
calculated_gap = ( y_datas.size() if invert_chart else y_datas[0].size()+1 )
draw_string(font,point+Vector2(-const_width/2*x_chors[p].length() + (column_width/2) * calculated_gap + column_gap,font_size),x_chors[p],font_color)
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# ordinate
for p in y_chors.size():
var point : Vector2 = origin-Vector2(0,(p)*y_pass)
# h grid
draw_line(point,point+Vector2(SIZE.x-OFFSET.x,0),h_lines_color,0.2,true)
# ordinate
draw_line(point,point+Vector2(5,0),h_lines_color,1,true)
draw_string(font,point-Vector2(y_chors[p].length()*const_width+font_size,font_size/2),y_chors[p],font_color)
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func draw_chart_outlines():
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# if boxed:
draw_line(Vector2(origin.x,0),Vector2(SIZE.x,0),box_color,1,true)
draw_line(Vector2(SIZE.x,0),Vector2(SIZE.x,origin.y),box_color,1,true)
draw_line(Vector2(SIZE.x,origin.y),origin,box_color,1,true)
draw_line(origin,Vector2(origin.x,0),box_color,1,true)
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func create_legend():
legend.clear()
for function in functions:
var function_legend = LegendElement.instance()
var f_name : String
if invert_chart:
f_name = x_datas[function] as String
else:
f_name = y_labels[function]
var legend_font : Font
if font != null:
legend_font = font
if bold_font != null:
legend_font = bold_font
function_legend.create_legend(f_name,function_colors[function],bold_font,font_color)
legend.append(function_legend)