Extends color list for cell plotting.
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@@ -122,7 +122,7 @@ if __name__ == "__main__":
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cmap = matplotlib.cm.get_cmap("Set3")
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cmap = matplotlib.cm.get_cmap("Set3")
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unique_cells = transmission_df["cell_color"].unique()
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unique_cells = transmission_df["cell_color"].unique()
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color_list = cmap * (round(len(unique_cells) / len(cmap)) + 1)
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color_list = cmap.colors * (round(len(unique_cells) / len(cmap.colors)) + 1)
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for c in transmission_df["cell_color"].unique():
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for c in transmission_df["cell_color"].unique():
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bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
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bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
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@@ -206,7 +206,7 @@ if __name__ == "__main__":
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cmap = matplotlib.cm.get_cmap("Set3")
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cmap = matplotlib.cm.get_cmap("Set3")
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unique_cells = transmission_df["cell_color"].unique()
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unique_cells = transmission_df["cell_color"].unique()
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color_list = cmap * (round(len(unique_cells) / len(cmap)) + 1)
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color_list = cmap.colors * (round(len(unique_cells) / len(cmap.colors)) + 1)
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for c in transmission_df["cell_color"].unique():
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for c in transmission_df["cell_color"].unique():
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bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
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bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
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