Enable vertical orientation of heatmaps

Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/non-clustered-heatmaps-and-flipping.gmi

* Update the code to enable the generation of the heatmap in both the
  horizontal and vertical orientations.

1 files changed, 52 insertions, 39 deletions

diff --git a/gn3/heatmaps.py b/gn3/heatmaps.py
index 7e7113d..ff65652 100644
--- a/gn3/heatmaps.py
+++ b/gn3/heatmaps.py
@@ -168,7 +168,9 @@ def get_loci_names(
         __get_trait_loci, [v[1] for v in organised.items()], {})
     return tuple(loci_dict[_chr] for _chr in chromosome_names)
 
-def build_heatmap(traits_names: Sequence[str], conn: Any) -> go.Figure:
+def build_heatmap(
+        traits_names: Sequence[str], conn: Any,
+        vertical: bool = False) -> go.Figure:
     """
     heatmap function
 
@@ -234,6 +236,7 @@ def build_heatmap(traits_names: Sequence[str], conn: Any) -> go.Figure:
                 ordered_traits_names[traits_ids[order]]
                 for order in traits_order)
         },
+        vertical=vertical,
         loci_names=get_loci_names(organised, chromosome_names))
 
 def compute_traits_order(slink_data, neworder: tuple = tuple()):
@@ -357,6 +360,7 @@ def clustered_heatmap(
         x_axis,#: Dict[Union[str, int], Union[str, Sequence[str]]],
         y_axis: Dict[str, Union[str, Sequence[str]]],
         loci_names: Sequence[Sequence[str]] = tuple(),
+        vertical: bool = False,
         colorscale: Sequence[Sequence[Union[float, str]]] = (
             (0.0, '#0000FF'), (0.5, '#00FF00'), (1.0, '#FF0000'))) -> go.Figure:
     """
@@ -366,57 +370,66 @@ def clustered_heatmap(
     # pylint: disable=[R0913, R0914]
     x_axis_data = x_axis["data"]
     y_axis_data = y_axis["data"]
-    num_cols = 1 + len(x_axis_data)
+    num_plots = 1 + len(x_axis_data)
     fig = make_subplots(
-        rows=1,
-        cols=num_cols,
-        shared_yaxes="rows",
+        rows=num_plots if vertical else 1,
+        cols=1 if vertical else num_plots,
+        shared_xaxes = "columns" if vertical else False,
+        shared_yaxes = False if vertical else "rows",
+        vertical_spacing=0.010,
         horizontal_spacing=0.001,
-        subplot_titles=[x_axis["label"]] + x_axis_data,
+        subplot_titles=["" if vertical else x_axis["label"]] + [
+            "Chromosome: {}".format(chromo) if vertical else chromo
+            for chromo in x_axis_data],#+ x_axis_data,
         figure=ff.create_dendrogram(
-            np.array(clustering_data), orientation="right", labels=y_axis_data))
+            np.array(clustering_data),
+            orientation="bottom" if vertical else "right",
+            labels=y_axis_data))
     hms = [go.Heatmap(
         name=chromo,
-        x=loci,
-        y=y_axis_data,
+        x=y_axis_data if vertical else loci,
+        y=loci if vertical else y_axis_data,
         z=data_array,
+        transpose=vertical,
         showscale=False)
            for chromo, data_array, loci
            in zip(x_axis_data, data, loci_names)]
     for i, heatmap in enumerate(hms):
-        fig.add_trace(heatmap, row=1, col=(i + 2))
-
-    fig.update_layout(
-        {
-            "width": 1500,
-            "height": 800,
-            "xaxis": {
+        fig.add_trace(
+            heatmap,
+            row=((i + 2) if vertical else 1),
+            col=(1 if vertical else (i + 2)))
+
+    axes_layouts = {
+        "{axis}axis{count}".format(
+            axis=("y" if vertical else "x"),
+            count=(i+1 if i > 0 else "")): {
                 "mirror": False,
-                "showgrid": True,
-                "title": "Distance"
-            },
-            "yaxis": {
-                "title": y_axis["label"]
-            }
-        })
-
-    x_axes_layouts = {
-        "xaxis{}".format(i+1 if i > 0 else ""): {
-            "mirror": False,
-            "showticklabels": i == 0,
-            "ticks": "outside" if i == 0 else ""
+                "showticklabels": i == 0,
+                "ticks": "outside" if i == 0 else ""
         }
-        for i in range(num_cols)}
+        for i in range(num_plots)}
 
-    fig.update_layout(
-        {
-            "width": 4000,
-            "height": 800,
-            "yaxis": {
-                "mirror": False,
-                "ticks": ""
-            },
-            **x_axes_layouts})
+    print("vertical?: {} ==> {}".format("T" if vertical else "F", axes_layouts))
+
+    fig.update_layout({
+        "width": 800 if vertical else 4000,
+        "height": 4000 if vertical else 800,
+        "{}axis".format("x" if vertical else "y"): {
+            "mirror": False,
+            "ticks": "",
+            "side": "top" if vertical else "left",
+            "title": y_axis["label"],
+            "tickangle": 90 if vertical else 0,
+            "ticklabelposition": "outside top" if vertical else "outside left"
+        },
+        "{}axis".format("y" if vertical else "x"): {
+            "mirror": False,
+            "showgrid": True,
+            "title": "Distance",
+            "side": "right" if vertical else "top"
+        },
+        **axes_layouts})
     fig.update_traces(
         showlegend=False,
         colorscale=colorscale,