Source code for ladybug_display.extension.monthlychart

"""Method to draw an MonthlyChart as a VisualizationSet."""
from ladybug_geometry.geometry3d import Point3D, Plane, LineSegment3D, Polyline3D, \
    Mesh3D

from ladybug_display.geometry3d import DisplayLineSegment3D, DisplayPolyline3D, \
    DisplayText3D
from ladybug_display.visualization import VisualizationSet, AnalysisGeometry, \
    VisualizationData, ContextGeometry


[docs] def monthly_chart_to_vis_set( monthly_chart, z=0, time_marks=False, global_title=None, y_axis_title=None): """Get a Ladybug MonthlyChart represented as a VisualizationSet. Args: monthly_chart: A Ladybug MonthlyChart object. z: A number for the Z-coordinate to be used in translation. (Default: 0). time_marks: Boolean to note whether the month labels should be replaced with marks for the time of day in each month. This is useful for displaying hourly data, particularly when the input data is only for a month and not the whole year. global_title: A text string to label the entire entire chart. It will be displayed in the lower left of the output chart. If None, the default is to display the metadata of the chart data. y_axis_title: A text string to label the Y-axis of the chart. This can also be a list of 2 Y-axis titles if there are two different types of data plotted on the chart and there are two axes labels on either side of the chart. The default will display the data type and units of the plotted data. Returns: A VisualizationSet with the monthly chart represented several ContextGeometries (and an AnalysisGeometry). This includes these objects in the following order. - X_Axis -- A ContextGeometry with lines and text for the X axis of the monthly chart. - Y_Axis -- A ContextGeometry with lines and text for the Y axis of the monthly chart. - Y_Axis2 -- A ContextGeometry with lines and text for the second Y axis of the monthly chart. - Title -- A ContextGeometry with text for the title of the monthly chart. - Data_Outlines -- A ContextGeometry with a list of polylines that outline the input data. These will represent the average or total at each hour whenever the input data is hourly or monthly-per-hour data. - Analysis_Data -- An AnalysisGeometry for the data on the monthly chart. """ # establish the VisualizationSet object data_header = monthly_chart.data_collections[0].header data_type = data_header.data_type set_id = 'Monthly_Chart_{}'.format(data_type.name.replace(' ', '_')) vis_set = VisualizationSet(set_id, ()) # get values used throughout the translation txt_hgt = monthly_chart.legend_parameters.text_height font = monthly_chart.legend_parameters.font x_dim = monthly_chart.x_dim bp = Plane(o=Point3D(0, 0, z)) # add the X axis border = Polyline3D.from_polyline2d(monthly_chart.chart_border, bp) x_geo = [DisplayPolyline3D(border, line_width=2)] for line in monthly_chart.month_lines: line3d = LineSegment3D.from_line_segment2d(line, z) x_geo.append(DisplayLineSegment3D(line3d)) if time_marks: txt_h = x_dim / 20 if x_dim / 20 < txt_hgt * 0.75 else txt_hgt * 0.75 for txt, pt in zip(monthly_chart.time_labels, monthly_chart.time_label_points): t_pln = Plane(o=Point3D(pt.x, pt.y, z)) txt_obj = DisplayText3D(txt, t_pln, txt_h, None, font, 'Center', 'Top') x_geo.append(txt_obj) for line in monthly_chart.time_ticks: line3d = LineSegment3D.from_line_segment2d(line, z) x_geo.append(DisplayLineSegment3D(line3d)) else: for txt, pt in zip(monthly_chart.month_labels, monthly_chart.month_label_points): t_pln = Plane(o=Point3D(pt.x, pt.y, z)) txt_obj = DisplayText3D(txt, t_pln, txt_hgt, None, font, 'Center', 'Top') x_geo.append(txt_obj) x_axis = ContextGeometry('X_Axis', x_geo) x_axis.display_name = 'X Axis' vis_set.add_geometry(x_axis) # add the y axis y_geo = [] for line in monthly_chart.y_axis_lines: line3d = LineSegment3D.from_line_segment2d(line, z) y_geo.append(DisplayLineSegment3D(line3d, line_type='Dashed')) if y_axis_title is None or len(y_axis_title) == 0: y1_txt = monthly_chart.y_axis_title_text1 else: y1_txt = y_axis_title if isinstance(y_axis_title, str) else y_axis_title[0] y_pl = monthly_chart.y_axis_title_location1 if z != 0: y_pl = Plane(n=y_pl.n, o=Point3D(y_pl.o.x, y_pl.o.y, z), x=y_pl.x) y_title = DisplayText3D(y1_txt, y_pl, txt_hgt, None, font) y_geo.append(y_title) for txt, pt in zip(monthly_chart.y_axis_labels1, monthly_chart.y_axis_label_points1): t_pln = Plane(o=Point3D(pt.x, pt.y, z)) txt_obj = DisplayText3D(txt, t_pln, txt_hgt, None, font, 'Right', 'Middle') y_geo.append(txt_obj) y_axis = ContextGeometry('Y_Axis', y_geo) y_axis.display_name = y1_txt vis_set.add_geometry(y_axis) # add the second y axis if it exists if monthly_chart.y_axis_title_text2 is not None: y2_geo = [] if y_axis_title is None or len(y_axis_title) <= 1: y2_txt = monthly_chart.y_axis_title_text2 else: y2_txt = monthly_chart.y_axis_title_text2 \ if isinstance(y_axis_title, str) else y_axis_title[1] y2_pl = monthly_chart.y_axis_title_location2 if z != 0: y2_pl = Plane(n=y2_pl.n, o=Point3D(y2_pl.o.x, y2_pl.o.y, z), x=y2_pl.x) y_title2 = DisplayText3D(y2_txt, y2_pl, txt_hgt, None, font) y2_geo.append(y_title2) y2_label_pts = monthly_chart.y_axis_label_points2 for txt, pt in zip(monthly_chart.y_axis_labels2, y2_label_pts): t_pln = Plane(o=Point3D(pt.x, pt.y, z)) txt_obj = DisplayText3D(txt, t_pln, txt_hgt, None, font, 'Left', 'Middle') y2_geo.append(txt_obj) y2_axis = ContextGeometry('Y_Axis2', y2_geo) y2_axis.display_name = y2_txt vis_set.add_geometry(y2_axis) # add the title title_txt = monthly_chart.title_text if global_title is None else global_title ttl_pl = monthly_chart.lower_title_location if z != 0: ttl_pl = Plane(n=ttl_pl.n, o=Point3D(ttl_pl.o.x, ttl_pl.o.y, z), x=ttl_pl.x) title = DisplayText3D(title_txt, ttl_pl, txt_hgt, None, font) title_obj = ContextGeometry('Title', [title]) vis_set.add_geometry(title_obj) # add the analysis geometry legend = monthly_chart.legend if monthly_chart.time_interval == 'MonthlyPerHour': data_p_lines, line_colors = monthly_chart.data_polylines_with_colors data_lines = [Polyline3D.from_polyline2d(line, bp) for line in data_p_lines] data_colors = monthly_chart.colors data_vals = [data_colors.index(col) for col in line_colors] vis_data = VisualizationData(data_vals, legend.legend_parameters) a_geo = AnalysisGeometry('Analysis_Data', data_lines, [vis_data]) else: d_meshes = monthly_chart.data_meshes data_mesh = [Mesh3D.from_mesh2d(msh, bp) for msh in d_meshes] vis_data = VisualizationData(legend.values, legend.legend_parameters) a_geo = AnalysisGeometry('Analysis_Data', data_mesh, [vis_data]) if monthly_chart.time_interval == 'Monthly': a_geo.display_mode = 'SurfaceWithEdges' elif monthly_chart.time_interval == 'Daily': a_geo.display_mode = 'Surface' else: out_geo = [] for line in monthly_chart.data_polylines: line3d = Polyline3D.from_polyline2d(line, bp) out_geo.append(DisplayPolyline3D(line3d)) data_outline = ContextGeometry('Data_Outlines', out_geo) data_outline.display_name = 'Data Outlines' vis_set.add_geometry(data_outline) vis_set.add_geometry(a_geo) return vis_set