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Add labels to plots (#3811) 

* 5 runs

* 50 runs

* (1) add labels (2) instead of plotting kde, plotting histogram and rug
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jingzhang36 2020-05-27 13:04:37 +08:00 committed by GitHub
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commit 76f7476c0f
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2 changed files with 18 additions and 18 deletions
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16
tools/benchmarks/pipeline_service_api.ipynb
View File

@ -98,17 +98,17 @@
" # Plots\n",
" fig, axs = plt.subplots(nrows=4, figsize=(10,20))\n",
" \n",
" label_create_latencies = pd.Series(create_latencies, name='Create Pipeline Latency (Second)')\n",
" sns.distplot(a=label_create_latencies, ax=axs[0])\n",
" axs[0].set(title='Create Pipeline Latency', xlabel='Time (Second)', ylabel='Create Pipeline')\n",
" sns.distplot(a=create_latencies, ax=axs[0], hist=True, kde=False, rug=True)\n",
" \n",
" label_create_version_latencies = pd.Series(create_version_latencies, name='Create Pipeline Version Latency (Second)')\n",
" sns.distplot(a=label_create_version_latencies, ax=axs[1])\n",
" axs[1].set(title='Create Pipeline Version Latency', xlabel='Time (Second)', ylabel='Create Pipeline Version')\n",
" sns.distplot(a=create_version_latencies, ax=axs[1], hist=True, kde=False, rug=True) \n",
" \n",
" label_get_latencies = pd.Series(get_latencies, name='Get Pipeline Latency (Second)')\n",
" sns.distplot(a=label_get_latencies, ax=axs[2])\n",
" axs[2].set(title='Get Pipeline Latency', xlabel='Time (Second)', ylabel='Get Pipeline')\n",
" sns.distplot(a=get_latencies, ax=axs[2], hist=True, kde=False, rug=True) \n",
" \n",
" label_delete_latencies = pd.Series(delete_latencies, name='Delete Pipeline Latency (Second)')\n",
" sns.distplot(a=label_delete_latencies, ax=axs[3])\n",
" axs[3].set(title='Delete Pipeline Latency', xlabel='Time (Second)', ylabel='Delete Pipeline')\n",
" sns.distplot(a=delete_latencies, ax=axs[3], hist=True, kde=False, rug=True)\n",
" \n",
" # TODO(jingzhang36): maybe dump the durations data to db or gcs, and let searborn read from there"
]

20
tools/benchmarks/run_service_api.ipynb
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@ -135,18 +135,18 @@
" # Plots\n",
" fig, axs = plt.subplots(nrows=4, figsize=(10,20))\n",
" \n",
" label_create_run_latencies = pd.Series(create_run_latencies, name='Create Run Latency (Second)')\n",
" sns.distplot(a=label_create_run_latencies, ax=axs[0])\n",
" axs[0].set(title='Create Run Latency', xlabel='Time (Second)', ylabel='Create')\n",
" sns.distplot(a=create_run_latencies, ax=axs[0], hist=True, kde=False, rug=True)\n",
" \n",
" label_run_durations = pd.Series(succeeded_run_durations, name='Run Durations (Second)')\n",
" sns.distplot(a=label_run_durations, ax=axs[1]) \n",
" axs[1].set(title='Run Durations', xlabel='Time (Second)', ylabel='Run')\n",
" sns.distplot(a=succeeded_run_durations, ax=axs[1], hist=True, kde=False, rug=True) \n",
" \n",
" axs[2].set(title='Get Run Latency', xlabel='Time (Second)', ylabel='Get')\n",
" sns.distplot(a=get_run_latencies, ax=axs[2], hist=True, kde=False, rug=True) \n",
" \n",
" axs[3].set(title='Delete Run Latency', xlabel='Time (Second)', ylabel='Delete')\n",
" sns.distplot(a=delete_run_latencies, ax=axs[3], hist=True, kde=False, rug=True)\n",
"\n",
" label_get_run_latencies = pd.Series(get_run_latencies, name='Get Run Latency (Second)')\n",
" sns.distplot(a=label_get_run_latencies, ax=axs[2]) \n",
" \n",
" label_delete_run_latencies = pd.Series(delete_run_latencies, name='Delete Run Latency (Second)')\n",
" sns.distplot(a=label_delete_run_latencies, ax=axs[3])\n",
" \n",
" loaded_run_results = pd.DataFrame(np.array(run_results), columns=['result'])\n",
" sns.catplot(x='result', kind=\"count\", data=loaded_run_results)\n",
" "