Commit the file

module3/exo1/influenza-like-illness-analysis.ipynb

@@ -9,16 +9,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
-    "import isoweek"
+    "import isoweek\n",
+    "import os"
    ]
   },
   {
@@ -30,13 +29,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
+    "local_FileName=\"incidence_data.csv\""
    ]
   },
   {
@@ -63,12 +61,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Local file is found. Downloading from local database\n"
+     ]
+    }
+   ],
    "source": [
-    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "raw_data"
+    "# Firstly, check if the local CSV file already exists.\n",
+    "# Secondly, if the file does not exist, download it from the official URL and save it locally.\n",
+    "# Thirdly,this ensures that the analysis uses a consistent local copy and avoids repeated downloads.\n",
+    "\n",
+    "if not os.path.exists(local_FileName):\n",
+    "    print(\"Local file is not found. Downloading from the website\")\n",
+    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "    raw_data.to_csv(local_FileName, index=False)\n",
+    "else:\n",
+    "    print(\"Local file is found. Downloading from local database\")\n",
+    "    raw_data = pd.read_csv(local_FileName)"
    ]
   },
   {
@@ -365,7 +380,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,