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authorAlexander Kabui2021-09-27 16:09:46 +0300
committerAlexander Kabui2021-09-27 16:09:46 +0300
commit62054d914efb4322fba311f968cb27b662aa6806 (patch)
treef904231c44d87db36e9b794f57373daf6508a11c /gn3/heatmaps
parent6f25b8e2b1d1a34c054d325b1c37b303529b8827 (diff)
parent0cbb6ecde0315b7d6f021cb17406f5e5197e8a05 (diff)
downloadgenenetwork3-62054d914efb4322fba311f968cb27b662aa6806.tar.gz
fix merge conflicts
Diffstat (limited to 'gn3/heatmaps')
-rw-r--r--gn3/heatmaps/heatmaps.py54
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