1 files changed, 0 insertions, 54 deletions
diff --git a/gn3/heatmaps/heatmaps.py b/gn3/heatmaps/heatmaps.py
deleted file mode 100644
index 3bf7917..0000000
--- a/gn3/heatmaps/heatmaps.py
+++ /dev/null
@@ -1,54 +0,0 @@
-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