add extra comments to show when data retrieval cells complete

Author: witekdev

bot_runs/bot_collector.ipynb

@@ -2,18 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/alec/Development/bundles/ucb_wallace/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n",
-      "  \"\"\")\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import sys\n",
     "import csv\n",
@@ -45,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -55,7 +46,8 @@
       "Collecting 3 experiments with 9 AdvantageSeekingBot players\n",
       ">>>> Retrieve: Data found for experiment ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
       ">>>> Retrieve: Data found for experiment ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
-      ">>>> Retrieve: Data found for experiment ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n"
+      ">>>> Retrieve: Data found for experiment ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
+      "Data retrieval complete\n"
      ]
     }
    ],
@@ -71,12 +63,14 @@
     "    data[exp_id] = {\n",
     "        'title': '{} Experiment #{} ({})'.format(config['bot_policy'], count + 1, exp_id),\n",
     "        'data': exp.collect(exp_id, exp_config=config)\n",
-    "    }"
+    "    }\n",
+    "    \n",
+    "print('Data retrieval complete.')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +80,8 @@
       "Collecting 3 experiments with 9 RandomBot players\n",
       ">>>> Retrieve: Data found for experiment ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
       ">>>> Retrieve: Data found for experiment ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
-      ">>>> Retrieve: Data found for experiment ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n"
+      ">>>> Retrieve: Data found for experiment ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n",
+      "Data retrieval complete.\n"
      ]
     }
    ],
@@ -102,7 +97,9 @@
     "    data[exp_id] = {\n",
     "        'title': '{} Experiment #{} ({})'.format(config['bot_policy'], count + 1, exp_id),\n",
     "        'data': exp.collect(exp_id, exp_config=config)\n",
-    "    }"
+    "    }\n",
+    "\n",
+    "print('Data retrieval complete.')    "
    ]
   },
   {
@@ -123,7 +120,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eea74e38a7dd4f739a1672c0fc4b3291",
+       "model_id": "38f06c4e23f44271ac6f6875fdd9066a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -144,7 +141,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d71e7946eef2429e90bdfdaffb0f75a9",
+       "model_id": "db5a419157a64f2fbc53fb6d8b3cb8da",
        "version_major": 2,
        "version_minor": 0
       },
@@ -165,7 +162,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2e53d6ec400c47728c6d53ad4ec60ecd",
+       "model_id": "23c4951777ab4e37af3d8deffb690e29",
        "version_major": 2,
        "version_minor": 0
       },
@@ -186,7 +183,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "064f46bb237442258faecdd098e440db",
+       "model_id": "058a6f9ff1144200989455a030dca0a8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -207,7 +204,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9540fc95291a4bf39b86e252195b98fe",
+       "model_id": "8f32522f6e264e3f8cea262aebdf14b5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -228,7 +225,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3c68d564f87244fdbe465fc3e0a4287e",
+       "model_id": "0dc3e866a56a4200bd6028ec6a73d27b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -252,6 +249,13 @@
     "        rows=ROWS, columns=COLS\n",
     "    )"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {