more plots

merge_tables.py

@@ -13,19 +13,32 @@ def combine(table_day1_path, table_day2_path, table_output_path, swarmplot_outpu
 
     day1.to_csv(table_output_path, index=None)
     n_max = int(day1.n_cells.mean() * 3)
-    plot_swarm(day1, n_max=n_max, path=swarmplot_output_path)
+    plot_swarm_counts(day1, n_max=n_max, path=swarmplot_output_path)
+    plot_swarm_intensity(day1, n_max=n_max, path=swarmplot_output_path.replace('.png', '_intensities.png'))
     plot_probs(day1, n_max=n_max,path=prob_plot_path)
+    plot_probs_log(day1, n_max=n_max,path=prob_plot_path.replace('.png', '_log.png'))
     
-def plot_swarm(table:pd.DataFrame, n_max:int=5, path=None):
+def plot_swarm_counts(table:pd.DataFrame, n_max:int=5, path=None):
     fig, ax = plt.subplots(dpi=300)
     sns.swarmplot(ax=ax, data=table.query(f'n_cells < {n_max}'), x='[AB]', y='n_cells_final', hue='n_cells', dodge=True, size=1 )
     fig.savefig(path)
 
+def plot_swarm_intensity(table:pd.DataFrame, n_max:int=5, path=None):
+    fig, ax = plt.subplots(dpi=300)
+    sns.swarmplot(ax=ax, data=table.query(f'n_cells < {n_max}'), x='[AB]', y='intensity_final', hue='n_cells', dodge=True, size=1 )
+    fig.savefig(path)
+
 def plot_probs(table:pd.DataFrame, n_max:int=5, path=None):
     
     fig, ax = plt.subplots(dpi=300)
     sns.lineplot(ax=ax, data=table.query(f'n_cells < {n_max}'), x='[AB]', y='final_state', hue='n_cells')
     fig.savefig(path)
 
+def plot_probs_log(table:pd.DataFrame, n_max:int=5, path=None):
+    fig, ax = plt.subplots(dpi=300)
+    sns.lineplot(ax=ax, data=table.query(f'n_cells < {n_max}'), x='[AB]', y='final_state', hue='n_cells')
+    ax.set_xscale('log')
+    fig.savefig(path)
+
 if __name__ == "__main__":
     fire.Fire(combine)
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