From cb380219f9ab7754801c976195c392bfe73a7a19 Mon Sep 17 00:00:00 2001
From: nuluh <dam.ar@outlook.com>
Date: Mon, 21 Apr 2025 00:07:06 +0700
Subject: [PATCH] test(notebooks): update file paths for sensor data loading
 and add markdown for clarity

---
 code/notebooks/stft.ipynb | 39 ++++++++++++++++++++++++++-------------
 1 file changed, 26 insertions(+), 13 deletions(-)

diff --git a/code/notebooks/stft.ipynb b/code/notebooks/stft.ipynb
index 29125e7..9bc07b8 100644
--- a/code/notebooks/stft.ipynb
+++ b/code/notebooks/stft.ipynb
@@ -324,9 +324,9 @@
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "ready_data1 = []\n",
-    "for file in os.listdir('D:/thesis/data/working/sensor1'):\n",
-    "    ready_data1.append(pd.read_csv(os.path.join('D:/thesis/data/working/sensor1', file)))\n",
-    "# ready_data1[1]\n",
+    "for file in os.listdir('D:/thesis/data/converted/raw/sensor1'):\n",
+    "    ready_data1.append(pd.read_csv(os.path.join('D:/thesis/data/converted/raw/sensor1', file)))\n",
+    "ready_data1[0]\n",
     "# colormesh give title x is frequency and y is time and rotate/transpose the data\n",
     "# Plotting the STFT Data"
    ]
@@ -362,8 +362,8 @@
    "outputs": [],
    "source": [
     "ready_data2 = []\n",
-    "for file in os.listdir('D:/thesis/data/working/sensor2'):\n",
-    "    ready_data2.append(pd.read_csv(os.path.join('D:/thesis/data/working/sensor2', file)))\n",
+    "for file in os.listdir('D:/thesis/data/converted/raw/sensor2'):\n",
+    "    ready_data2.append(pd.read_csv(os.path.join('D:/thesis/data/converted/raw/sensor2', file)))\n",
     "ready_data2[5]"
    ]
   },
@@ -407,6 +407,13 @@
     "print(x2)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Appending"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -448,15 +455,10 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "y_1 = [1,1,1,1]\n",
-    "y_2 = [0,1,1,1]\n",
-    "y_3 = [1,0,1,1]\n",
-    "y_4 = [1,1,0,0]"
+    "### Labeling"
    ]
   },
   {
@@ -492,6 +494,16 @@
     "    print(ready_data1[i].shape[0])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(len(y_data)):\n",
+    "    print(ready_data2[i].shape[0])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -509,7 +521,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "y_data"
+    "# len(y_data[0])\n",
+    "y_data[0]"
    ]
   },
   {