mirror of
https://github.com/Relintai/pandemonium_engine_easy_charts.git
synced 2024-11-14 10:17:24 +01:00
390 lines
13 KiB
GDScript
390 lines
13 KiB
GDScript
tool
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extends Chart
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"""
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[BarChart] - General purpose node for Bar Charts
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A bar chart or bar graph is a chart or graph that presents categorical data with
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rectangular bars with heights or lengths proportional to the values that they represent.
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The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes
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called a column chart.
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A bar graph shows comparisons among discrete categories. One axis of the chart shows
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the specific categories being compared, and the other axis represents a measured value.
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Some bar graphs present bars clustered in groups of more than one, showing the
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values of more than one measured variable.
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/ source : Wikipedia /
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"""
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# ---------------------
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func _get_property_list():
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return [
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# Chart Properties
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Properties/are_values_columns",
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"type": TYPE_BOOL
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},
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{
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"hint": PROPERTY_HINT_RANGE,
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"hint_string": "-1,100,1",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Properties/labels_index",
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"type": TYPE_INT
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Properties/show_x_values_as_labels",
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"type": TYPE_BOOL
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},
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{
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"hint": PROPERTY_HINT_RANGE,
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"hint_string": "1,20,0.5",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Properties/column_width",
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"type": TYPE_REAL
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},
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{
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"hint": PROPERTY_HINT_RANGE,
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"hint_string": "0,10,0.5",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Properties/column_gap",
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"type": TYPE_REAL
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},
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# Chart Display
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{
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"hint": PROPERTY_HINT_RANGE,
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"hint_string": "0.1,10",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Display/x_decim",
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"type": TYPE_REAL
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},
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{
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"hint": PROPERTY_HINT_RANGE,
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"hint_string": "0.1,10",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Display/y_decim",
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"type": TYPE_REAL
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},
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# Chart Style
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{
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"hint": 24,
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"hint_string": "%d/%d:%s"%[TYPE_INT, PROPERTY_HINT_ENUM,
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PoolStringArray(PointShapes.keys()).join(",")],
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"name": "Chart_Style/points_shape",
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"type": TYPE_ARRAY,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/function_colors",
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"type": TYPE_COLOR_ARRAY
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/box_color",
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"type": TYPE_COLOR
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/v_lines_color",
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"type": TYPE_COLOR
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/h_lines_color",
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"type": TYPE_COLOR
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},
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{
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"class_name": "Font",
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"hint": PROPERTY_HINT_RESOURCE_TYPE,
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"hint_string": "Font",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/font",
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"type": TYPE_OBJECT
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},
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{
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"class_name": "Font",
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"hint": PROPERTY_HINT_RESOURCE_TYPE,
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"hint_string": "Font",
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/bold_font",
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"type": TYPE_OBJECT
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},
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/font_color",
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"type": TYPE_COLOR
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},
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{
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"hint": PROPERTY_HINT_ENUM,
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"hint_string": PoolStringArray(TemplatesNames.keys()).join(","),
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Style/template",
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"type": TYPE_INT
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},
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# Chart Modifiers
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{
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"hint": PROPERTY_HINT_NONE,
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"usage": PROPERTY_USAGE_DEFAULT | PROPERTY_USAGE_SCRIPT_VARIABLE,
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"name": "Chart_Modifiers/invert_chart",
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"type": TYPE_BOOL
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},
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]
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func build_chart():
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SIZE = get_size()
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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):
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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 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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if not are_values_columns:
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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)
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else:
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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)
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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 not 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_values[function].append([x_datas[function_value],y_datas[function_value][function]])
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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]))
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else:
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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]))
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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_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]))
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point_values[y].append([x_datas[cluster],y_datas[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(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():
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clear_points()
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draw_grid()
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draw_chart_outlines()
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var defined_colors : bool = false
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if function_colors.size():
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defined_colors = true
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for _function in point_values.size():
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var PointContainer : Control = Control.new()
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Points.add_child(PointContainer)
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for function_point in point_values[_function].size():
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var point : Point = point_node.instance()
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point.connect("_point_pressed",self,"point_pressed")
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point.connect("_mouse_entered",self,"show_data")
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point.connect("_mouse_exited",self,"hide_data")
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point.create_point(points_shape[_function], function_colors[function_point if invert_chart else _function],
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Color.white, point_positions[_function][function_point],
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point.format_value(point_values[_function][function_point], false, false),
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y_labels[function_point if invert_chart else _function] as String)
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PointContainer.add_child(point)
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point.rect_size.y = origin.y - point_positions[_function][function_point].y
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draw_line( Vector2(point_positions[_function][function_point].x, origin.y),
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point_positions[_function][function_point], function_colors[_function], column_width, true)
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func draw_grid():
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# ascisse
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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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# v grid
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draw_line(point,point-Vector2(0,SIZE.y-OFFSET.y),v_lines_color,0.2,true)
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# ascisse
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draw_line(point-Vector2(0,5),point,v_lines_color,1,true)
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var calculated_gap : float
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if not are_values_columns:
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calculated_gap = ( y_datas.size() if not invert_chart else y_datas[0].size()+1 )
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else:
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calculated_gap = ( y_datas.size() if invert_chart else y_datas[0].size()+1 )
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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
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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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# h grid
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draw_line(point,point+Vector2(SIZE.x-OFFSET.x,0),h_lines_color,0.2,true)
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# ordinate
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draw_line(point,point+Vector2(5,0),h_lines_color,1,true)
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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:
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draw_line(Vector2(origin.x,0),Vector2(SIZE.x,0),box_color,1,true)
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draw_line(Vector2(SIZE.x,0),Vector2(SIZE.x,origin.y),box_color,1,true)
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draw_line(Vector2(SIZE.x,origin.y),origin,box_color,1,true)
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draw_line(origin,Vector2(origin.x,0),box_color,1,true)
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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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