Run time comparisons for different processes.

plot/evaluateTimeData.py

+#!/bin/python
+
+import sys
+import pandas as pd
+import matplotlib.pyplot as plt
+
+header_array=["branch","ctest process switch","run time"]
+df = pd.read_csv(sys.argv[1], sep=',', names=header_array)
+
+process_array=["ComponentTransport","ReactiveMassTransport","SteadyStateDiffusion","StokesFlow","HT","ThermalConvection","HeatConduction","BHE","HydroMechanics","LiquidFlow","LIE","PhaseField","ThermoRichardsMechanics"]
+
+branches=["master","MeshLibElementCleanup"]
+
+master_times=[]
+MeshLibElementCleanup_times=[]
+
+for process in process_array:
+    for branch in branches:
+        filtered_by_branch = df[df['branch'] == branch]
+        filtered_by_process_switch = filtered_by_branch[filtered_by_branch['ctest process switch'] == process]
+        if (branch == 'master'):
+            master_times.append(filtered_by_process_switch['run time'].mean())
+        if (branch == 'MeshLibElementCleanup'):
+            MeshLibElementCleanup_times.append(filtered_by_process_switch['run time'].mean())
+        #print(branch + ' ' + process + ' ' + str(filtered_by_process_switch['run time'].mean()))
+
+print(master_times)
+print(MeshLibElementCleanup_times)
+
+final_df=pd.DataFrame(list(zip(process_array,master_times,MeshLibElementCleanup_times)), columns=['ctest process switch','master','MeshLibElementCleanup'])
+final_df['relative_difference'] = (final_df['master']-final_df['MeshLibElementCleanup'])/final_df['master']
+print(final_df)
+ax = final_df.plot.bar(x='ctest process switch', y='relative_difference')
+ax.set_ylabel(r'$\frac{t_{branch} - t_{master}}{t_{master}}$')
+plt.grid()
+plt.tight_layout()
+plt.show()