| @@ -192,16 +192,22 @@ if __name__ == "__main__": | |||
| # create list fo color indices | |||
| transmission_df["index"] = transmission_df.index | |||
| color_dict = dict() | |||
| color_list = list() | |||
| i = 0 | |||
| for cell_id in transmission_df["cellID"].unique(): | |||
| for cell_id in transmission_df["cellID"]: | |||
| if cell_id not in color_dict: | |||
| color_dict[cell_id] = i | |||
| i += 1 | |||
| color_list.append(color_dict[cell_id]) | |||
| transmission_df["cell_color"] = color_list | |||
| color_dict = None | |||
| color_list = None | |||
| cmap = matplotlib.cm.get_cmap("Set3") | |||
| for c in transmission_df["cellID"].unique(): | |||
| bounds = transmission_df[["index", "cellID"]].groupby("cellID").agg(["min", "max"]).loc[c] | |||
| host.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[color_dict[c]]) | |||
| for c in transmission_df["cell_color"].unique(): | |||
| bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c] | |||
| host.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[c]) | |||
| plt.subplots_adjust() | |||