tool extends Chart """ [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 / """ # --------------------- 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 }, ] func build_chart(): SIZE = get_size() origin = Vector2(OFFSET.x,SIZE.y-OFFSET.y) 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) 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) 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])) 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) # draw_string(font, Vector2(point_positions[_function][function_point].x, origin.y+10), y_labels[function_point], font_color) 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) # 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) func draw_chart_outlines(): # 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) func create_legend(): legend.clear() for function in functions: var function_legend = FunctionLegend.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)