Initialise heatmap generation module

Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/clustering.gmi

* gn3/heatmaps/heatmaps.py: Initialise the module with some code to be used to
  test out plotly features on the command-line.
* guix.scm: Add `python-plotly` and `python-pandas` as dependencies.

1 files changed, 54 insertions, 0 deletions

diff --git a/gn3/heatmaps/heatmaps.py b/gn3/heatmaps/heatmaps.py
new file mode 100644
index 0000000..3bf7917
--- /dev/null
+++ b/gn3/heatmaps/heatmaps.py
@@ -0,0 +1,54 @@
+import random
+import plotly.express as px
+
+#### Remove these ####
+
+heatmap_dir = "heatmap_images"
+
+def generate_random_data(data_stop: float = 2, width: int = 10, height: int = 30):
+    """
+    This is mostly a utility function to be used to generate random data, useful
+    for development of the heatmap generation code, without access to the actual
+    database data.
+    """
+    return [[random.uniform(0,data_stop) for i in range(0, width)]
+            for j in range(0, height)]
+
+def heatmap_x_axis_names():
+    return [
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM103710672",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM2260338",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM3140576",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM5670577",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM2070121",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM103990541",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM1190722",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM6590722",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM4200064",
+        "UCLA_BXDBXH_CARTILAGE_V2::ILM3140463"]
+#### END: Remove these ####
+
+# Grey + Blue + Red
+def generate_heatmap():
+    rows = 20
+    data = generate_random_data(height=rows)
+    y = (["%s"%x for x in range(1, rows+1)][:-1] + ["X"]) #replace last item with x for now
+    fig = px.imshow(
+        data,
+        x=heatmap_x_axis_names(),
+        y=y,
+        width=500)
+    fig.update_traces(xtype="array")
+    fig.update_traces(ytype="array")
+    # fig.update_traces(xgap=10)
+    fig.update_xaxes(
+        visible=True,
+        title_text="Traits",
+        title_font_size=16)
+    fig.update_layout(
+        coloraxis_colorscale=[
+            [0.0, '#3B3B3B'], [0.4999999999999999, '#ABABAB'],
+            [0.5, '#F5DE11'], [1.0, '#FF0D00']])
+
+    fig.write_html("%s/%s"%(heatmap_dir, "test_image.html"))
+    return fig