fix(visualize): Update MonthlyChart for new stacked line visual

ladybug_grasshopper/json/LB_Monthly_Chart.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.8.0", 
+  "version": "1.8.2", 
   "nickname": "MonthlyChart", 
   "outputs": [
     [
@@ -141,7 +141,7 @@
     }
   ], 
   "subcategory": "2 :: Visualize Data", 
-  "code": "\ntry:\n    from ladybug_geometry.geometry2d.pointvector import Point2D\n    from ladybug_geometry.geometry3d.pointvector import Vector3D, Point3D\n    from ladybug_geometry.geometry3d.plane import Plane\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_geometry:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug.monthlychart import MonthlyChart\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.config import conversion_to_meters, tolerance\n    from ladybug_{{cad}}.color import color_to_color\n    from ladybug_{{cad}}.togeometry import to_point2d\n    from ladybug_{{cad}}.fromgeometry import from_mesh2d, from_mesh2d_to_outline, \\\n        from_polyline2d, from_linesegment2d\n    from ladybug_{{cad}}.text import text_objects\n    from ladybug_{{cad}}.colorize import ColoredPolyline\n    from ladybug_{{cad}}.fromobjects import legend_objects\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs, objectify_output, \\\n        schedule_solution\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\nif all_required_inputs(ghenv.Component) and None not in _data:\n    # set default values for the chart dimensions\n    z_val = _base_pt_.Z if _base_pt_ is not None else 0\n    z_val_tol = z_val + tolerance\n    _base_pt_ = to_point2d(_base_pt_) if _base_pt_ is not None else Point2D()\n    _x_dim_ = _x_dim_ if _x_dim_ is not None else 10.0 / conversion_to_meters()\n    _y_dim_ = _y_dim_ if _y_dim_ is not None else 40.0 / conversion_to_meters()\n    stack_ = stack_ if stack_ is not None else False\n    percentile_ = percentile_ if percentile_ is not None else 34.0\n    lpar = legend_par_[0] if len(legend_par_) != 0 else None\n\n    # create the monthly chart object and get the main pieces of geometry\n    month_chart = MonthlyChart(_data, lpar, _base_pt_, _x_dim_, _y_dim_,\n                               stack_, percentile_)\n    if len(legend_par_) > 1:\n        if legend_par_[1].min is not None:\n            month_chart.set_minimum_by_index(legend_par_[1].min, 1)\n        if legend_par_[1].max is not None:\n            month_chart.set_maximum_by_index(legend_par_[1].max, 1)\n\n    #  get the main pieces of geometry\n    data_lines = []\n    d_meshes = month_chart.data_meshes\n    if d_meshes is not None:\n        data_mesh = [from_mesh2d(msh, z_val_tol) for msh in d_meshes]\n        if month_chart.time_interval == 'Monthly':\n            data_lines += [l for msh in d_meshes for l in\n                           from_mesh2d_to_outline(msh, z_val_tol)]\n    d_lines = month_chart.data_polylines\n    if d_lines is not None:\n        data_lines += [from_polyline2d(lin, z_val_tol) for lin in d_lines]\n    borders = [from_polyline2d(month_chart.chart_border, z_val)] + \\\n            [from_linesegment2d(line, z_val) for line in month_chart.y_axis_lines] + \\\n            [from_linesegment2d(line, z_val_tol) for line in month_chart.month_lines]\n    leg = month_chart.legend\n    if z_val != 0 and leg.legend_parameters.is_base_plane_default:\n        nl_par = leg.legend_parameters.duplicate()\n        m_vec = Vector3D(0, 0, z_val)\n        nl_par.base_plane = nl_par.base_plane.move(m_vec)\n        leg._legend_par = nl_par\n    legend = legend_objects(leg)\n\n    # process all of the text-related outputs\n    title_txt = month_chart.title_text if global_title_ is None else global_title_\n    txt_hgt = month_chart.legend_parameters.text_height\n    font = month_chart.legend_parameters.font\n    ttl_tp = month_chart.lower_title_location\n    if z_val != 0:\n        ttl_tp = Plane(n=ttl_tp.n, o=Point3D(ttl_tp.o.x, ttl_tp.o.y, z_val), x=ttl_tp.x)\n    title = text_objects(title_txt, ttl_tp, txt_hgt, font)\n\n    # process the first y axis\n    y1_txt = month_chart.y_axis_title_text1 if len(y_axis_title_) == 0 else y_axis_title_[0]\n    y1_tp = month_chart.y_axis_title_location1\n    if z_val != 0:\n        y1_tp = Plane(n=y1_tp.n, o=Point3D(y1_tp.o.x, y1_tp.o.y, z_val), x=y1_tp.x)\n    y_title = text_objects(y1_txt, y1_tp, txt_hgt, font)\n    if time_marks_:\n        txt_h = _x_dim_ / 20 if _x_dim_ / 20 < txt_hgt * 0.75 else txt_hgt * 0.75\n        label1 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_h, font, 1, 0)\n                  for txt, pt in zip(month_chart.time_labels, month_chart.time_label_points)]\n        borders.extend([from_linesegment2d(line, z_val_tol) for line in month_chart.time_ticks])\n    else:\n        label1 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 1, 0)\n                  for txt, pt in zip(month_chart.month_labels, month_chart.month_label_points)]\n    label2 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 2, 3)\n              for txt, pt in zip(month_chart.y_axis_labels1, month_chart.y_axis_label_points1)]\n    labels = label1 + label2\n\n    # process the second y axis if it exists\n    if month_chart.y_axis_title_text2 is not None:\n        y2_txt = month_chart.y_axis_title_text2 if len(y_axis_title_) <= 1 else y_axis_title_[1]\n        y2_tp = month_chart.y_axis_title_location2\n        if z_val != 0:\n            y2_tp = Plane(n=y2_tp.n, o=Point3D(y2_tp.o.x, y2_tp.o.y, z_val), x=y2_tp.x)\n        y_title2 = text_objects(y2_txt, y2_tp, txt_hgt, font)\n        y_title = [y_title, y_title2]\n        label3 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 0, 3)\n                 for txt, pt in zip(month_chart.y_axis_labels2, month_chart.y_axis_label_points2)]\n        labels = labels + label3\n\n    # if there are colored lines, then process them to be output from the component\n    if month_chart.time_interval == 'MonthlyPerHour':\n        cols = [color_to_color(col) for col in month_chart.colors]\n        col_lines, month_count = [], len(data_lines) / len(_data)\n        for i, pline in enumerate(data_lines):\n            col_line = ColoredPolyline(pline)\n            col_line.color = cols[int(i / month_count)]\n            col_line.thickness = 3\n            col_lines.append(col_line)\n        # CWM: I don't know why we have to re-schedule the solution but this is the\n        # only way I found to get the colored polylines to appear (redraw did not work).\n        schedule_solution(ghenv.Component, 2)\n\n    # output arguments for the visualization set\n    vis_set = [month_chart, z_val, time_marks_, global_title_, y_axis_title_]\n    vis_set = objectify_output('VisualizationSet Aruments [MonthlyChart]', vis_set)\n", 
+  "code": "\ntry:\n    from ladybug_geometry.geometry2d.pointvector import Point2D\n    from ladybug_geometry.geometry3d.pointvector import Vector3D, Point3D\n    from ladybug_geometry.geometry3d.plane import Plane\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_geometry:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug.monthlychart import MonthlyChart\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.config import conversion_to_meters, tolerance\n    from ladybug_{{cad}}.color import color_to_color\n    from ladybug_{{cad}}.togeometry import to_point2d\n    from ladybug_{{cad}}.fromgeometry import from_mesh2d, from_mesh2d_to_outline, \\\n        from_polyline2d, from_linesegment2d\n    from ladybug_{{cad}}.text import text_objects\n    from ladybug_{{cad}}.colorize import ColoredPolyline\n    from ladybug_{{cad}}.fromobjects import legend_objects\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs, objectify_output, \\\n        schedule_solution\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\nif all_required_inputs(ghenv.Component) and None not in _data:\n    # set default values for the chart dimensions\n    z_val = _base_pt_.Z if _base_pt_ is not None else 0\n    z_val_tol = z_val + tolerance\n    _base_pt_ = to_point2d(_base_pt_) if _base_pt_ is not None else Point2D()\n    _x_dim_ = _x_dim_ if _x_dim_ is not None else 10.0 / conversion_to_meters()\n    _y_dim_ = _y_dim_ if _y_dim_ is not None else 40.0 / conversion_to_meters()\n    stack_ = stack_ if stack_ is not None else False\n    percentile_ = percentile_ if percentile_ is not None else 34.0\n    lpar = legend_par_[0] if len(legend_par_) != 0 else None\n\n    # create the monthly chart object and get the main pieces of geometry\n    month_chart = MonthlyChart(_data, lpar, _base_pt_, _x_dim_, _y_dim_,\n                               stack_, percentile_)\n    if len(legend_par_) > 1:\n        if legend_par_[1].min is not None:\n            month_chart.set_minimum_by_index(legend_par_[1].min, 1)\n        if legend_par_[1].max is not None:\n            month_chart.set_maximum_by_index(legend_par_[1].max, 1)\n\n    #  get the main pieces of geometry\n    data_lines = []\n    d_meshes = month_chart.data_meshes\n    if d_meshes is not None:\n        data_mesh = [from_mesh2d(msh, z_val_tol) for msh in d_meshes]\n        if month_chart.time_interval == 'Monthly':\n            data_lines += [l for msh in d_meshes for l in\n                           from_mesh2d_to_outline(msh, z_val_tol)]\n    line_results = month_chart.data_polylines_with_colors\n    if line_results is not None:\n        d_lines, d_cols = line_results\n        data_lines += [from_polyline2d(lin, z_val_tol) for lin in d_lines]\n    borders = [from_polyline2d(month_chart.chart_border, z_val)] + \\\n            [from_linesegment2d(line, z_val) for line in month_chart.y_axis_lines] + \\\n            [from_linesegment2d(line, z_val_tol) for line in month_chart.month_lines]\n    leg = month_chart.legend\n    if z_val != 0 and leg.legend_parameters.is_base_plane_default:\n        nl_par = leg.legend_parameters.duplicate()\n        m_vec = Vector3D(0, 0, z_val)\n        nl_par.base_plane = nl_par.base_plane.move(m_vec)\n        leg._legend_par = nl_par\n    legend = legend_objects(leg)\n\n    # process all of the text-related outputs\n    title_txt = month_chart.title_text if global_title_ is None else global_title_\n    txt_hgt = month_chart.legend_parameters.text_height\n    font = month_chart.legend_parameters.font\n    ttl_tp = month_chart.lower_title_location\n    if z_val != 0:\n        ttl_tp = Plane(n=ttl_tp.n, o=Point3D(ttl_tp.o.x, ttl_tp.o.y, z_val), x=ttl_tp.x)\n    title = text_objects(title_txt, ttl_tp, txt_hgt, font)\n\n    # process the first y axis\n    y1_txt = month_chart.y_axis_title_text1 if len(y_axis_title_) == 0 else y_axis_title_[0]\n    y1_tp = month_chart.y_axis_title_location1\n    if z_val != 0:\n        y1_tp = Plane(n=y1_tp.n, o=Point3D(y1_tp.o.x, y1_tp.o.y, z_val), x=y1_tp.x)\n    y_title = text_objects(y1_txt, y1_tp, txt_hgt, font)\n    if time_marks_:\n        txt_h = _x_dim_ / 20 if _x_dim_ / 20 < txt_hgt * 0.75 else txt_hgt * 0.75\n        label1 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_h, font, 1, 0)\n                  for txt, pt in zip(month_chart.time_labels, month_chart.time_label_points)]\n        borders.extend([from_linesegment2d(line, z_val_tol) for line in month_chart.time_ticks])\n    else:\n        label1 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 1, 0)\n                  for txt, pt in zip(month_chart.month_labels, month_chart.month_label_points)]\n    label2 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 2, 3)\n              for txt, pt in zip(month_chart.y_axis_labels1, month_chart.y_axis_label_points1)]\n    labels = label1 + label2\n\n    # process the second y axis if it exists\n    if month_chart.y_axis_title_text2 is not None:\n        y2_txt = month_chart.y_axis_title_text2 if len(y_axis_title_) <= 1 else y_axis_title_[1]\n        y2_tp = month_chart.y_axis_title_location2\n        if z_val != 0:\n            y2_tp = Plane(n=y2_tp.n, o=Point3D(y2_tp.o.x, y2_tp.o.y, z_val), x=y2_tp.x)\n        y_title2 = text_objects(y2_txt, y2_tp, txt_hgt, font)\n        y_title = [y_title, y_title2]\n        label3 = [text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font, 0, 3)\n                 for txt, pt in zip(month_chart.y_axis_labels2, month_chart.y_axis_label_points2)]\n        labels = labels + label3\n\n    # if there are colored lines, then process them to be output from the component\n    if month_chart.time_interval == 'MonthlyPerHour':\n        cols = [color_to_color(col) for col in d_cols]\n        col_lines = []\n        for pline, line_col in zip(data_lines, cols):\n            col_line = ColoredPolyline(pline)\n            col_line.color = line_col\n            col_line.thickness = 3\n            col_lines.append(col_line)\n        # CWM: I don't know why we have to re-schedule the solution but this is the\n        # only way I found to get the colored polylines to appear (redraw did not work).\n        schedule_solution(ghenv.Component, 2)\n\n    # output arguments for the visualization set\n    vis_set = [month_chart, z_val, time_marks_, global_title_, y_axis_title_]\n    vis_set = objectify_output('VisualizationSet Aruments [MonthlyChart]', vis_set)\n", 
   "category": "Ladybug", 
   "name": "LB Monthly Chart", 
   "description": "Create a chart in the Rhino scene with data organized by month.\n_\nData will display as a bar chart if the input data is monthly or daily. If the\ndata is hourly or sub-hourly, it will be plotted with lines and/or a colored\nmesh that shows the range of the data within specific percentiles.\n-"

ladybug_grasshopper/src/LB Monthly Chart.py

@@ -77,7 +77,7 @@
 
 ghenv.Component.Name = 'LB Monthly Chart'
 ghenv.Component.NickName = 'MonthlyChart'
-ghenv.Component.Message = '1.8.0'
+ghenv.Component.Message = '1.8.2'
 ghenv.Component.Category = 'Ladybug'
 ghenv.Component.SubCategory = '2 :: Visualize Data'
 ghenv.Component.AdditionalHelpFromDocStrings = '1'
@@ -137,8 +137,9 @@
         if month_chart.time_interval == 'Monthly':
             data_lines += [l for msh in d_meshes for l in
                            from_mesh2d_to_outline(msh, z_val_tol)]
-    d_lines = month_chart.data_polylines
-    if d_lines is not None:
+    line_results = month_chart.data_polylines_with_colors
+    if line_results is not None:
+        d_lines, d_cols = line_results
         data_lines += [from_polyline2d(lin, z_val_tol) for lin in d_lines]
     borders = [from_polyline2d(month_chart.chart_border, z_val)] + \
             [from_linesegment2d(line, z_val) for line in month_chart.y_axis_lines] + \
@@ -192,11 +193,11 @@
 
     # if there are colored lines, then process them to be output from the component
     if month_chart.time_interval == 'MonthlyPerHour':
-        cols = [color_to_color(col) for col in month_chart.colors]
-        col_lines, month_count = [], len(data_lines) / len(_data)
-        for i, pline in enumerate(data_lines):
+        cols = [color_to_color(col) for col in d_cols]
+        col_lines = []
+        for pline, line_col in zip(data_lines, cols):
             col_line = ColoredPolyline(pline)
-            col_line.color = cols[int(i / month_count)]
+            col_line.color = line_col
             col_line.thickness = 3
             col_lines.append(col_line)
         # CWM: I don't know why we have to re-schedule the solution but this is the