making the repository a bit better

Author: maxmelichov

6.ipynb Anamaly_detation_1DCNN.ipynb

@@ -238,20 +238,6 @@
     "df.isna().sum()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Convert to datetime\n",
-    "# df.Date = pd.to_datetime(df.Date,unit='s')\n",
-    "# # Set Index\n",
-    "# df = df.set_index('Date')\n",
-    "# # Convert to freq\n",
-    "# df = df.asfreq(pd.infer_freq(df.index))"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 11,
@@ -403,13 +389,7 @@
    ],
    "source": [
     "plt.figure(figsize=(30,10))\n",
-    "plt.plot(df)\n",
-    "# for year in range(2004,2006):\n",
-    "#     plt.axvline(datetime(year,1,1), color='k', linestyle='--', alpha=0.5)\n",
-    "# plt.figure(figsize=(10,4))\n",
-    "# plt.plot(df)\n",
-    "# for day in range(1,7):\n",
-    "#     plt.axvline(datetime(2016,1,day), color='k', linestyle='--', alpha=0.5)"
+    "plt.plot(df)"
    ]
   },
   {
@@ -514,50 +494,6 @@
     "   "
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# def visualization4(test,anomalies,TIME_STEPS,scaler,axs,col):\n",
-    "#   test[col] =scaler.inverse_transform(test[col].values.reshape(1,-1)).reshape(-1)\n",
-    "#   test['270day_rolling_avg'] = test[col].rolling(270).mean()\n",
-    "#   test['90day_rolling_avg'] = test[col].rolling(90).mean()\n",
-    "#   test['30day_rolling_avg'] = test[col].rolling(30).mean()\n",
-    "#   test = test[~test.index.duplicated()]\n",
-    "#   # print(test)\n",
-    "  \n",
-    "#   sns.lineplot(\n",
-    "#       x= test.index, \n",
-    "#       y= test[col], \n",
-    "#       label=str(col +' price'),ax = axs\n",
-    "#     )\n",
-    "\n",
-    "#   sns.scatterplot(\n",
-    "#       x= anomalies.index,\n",
-    "#       # y= anomalies[col],#scaler.inverse_transform(anomalies[col].values.reshape(1,-1)).reshape(-1),\n",
-    "#       y=scaler.inverse_transform(anomalies[col].values.reshape(1,-1)).reshape(-1),\n",
-    "#       color=sns.color_palette()[3],\n",
-    "#       s=52,\n",
-    "#       label='anomaly',ax = axs\n",
-    "#     )\n",
-    "#   # plot using rolling average\n",
-    "# #   sns.lineplot( x = test[col].index,\n",
-    "# #               y = '30day_rolling_avg',\n",
-    "# #               data = test,\n",
-    "# #               label = '30 Rolling avg',ax = axs)\n",
-    "# #   sns.lineplot( x = test[col].index,\n",
-    "# #               y = '90day_rolling_avg',\n",
-    "# #               data = test,\n",
-    "# #               label = '90 Rolling avg',ax = axs)\n",
-    "# #   sns.lineplot( x = test[col].index,\n",
-    "# #               y = '270day_rolling_avg',\n",
-    "# #               data = test,\n",
-    "# #               label = '270 Rolling avg',ax = axs)    \n",
-    "      "
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 21,