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author | zsloan | 2021-10-12 20:56:31 +0000 |
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committer | zsloan | 2021-10-12 20:56:31 +0000 |
commit | 6e211182354fb4d6941e3a44ec1ec9d378b0e4ef (patch) | |
tree | 60d9aaf382eefbb47cdbab9c74d98481cf0983de /gn3/heatmaps/heatmaps.py | |
parent | b815236123ff8e144bd84f349357a1852df95651 (diff) | |
parent | 77c274b79c3ec01de60e90db3299763cb58f715b (diff) | |
download | genenetwork3-6e211182354fb4d6941e3a44ec1ec9d378b0e4ef.tar.gz |
Merge branch 'main' of https://github.com/genenetwork/genenetwork3 into bug/fix_rqtl_covariates
Diffstat (limited to 'gn3/heatmaps/heatmaps.py')
-rw-r--r-- | gn3/heatmaps/heatmaps.py | 54 |
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 |