Started prototype for creating figure of B1+ along cord

data_processing.ipynb

@@ -314,8 +314,42 @@
    "outputs": [],
    "source": [
     "# Make figure of B1+ values along the spinal cord across shim methods\n",
+    "# WIP\n",
     "\n",
-    "# TODO"
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import glob\n",
+    "\n",
+    "subject='sub-01'\n",
+    "os.chdir(os.path.join(path_data, subject, \"fmap\"))\n",
+    "\n",
+    "# Pattern to match all files starting with 'TB1TFL_' and ending with '.csv'\n",
+    "file_pattern = f\"TB1TFL_*.csv\"\n",
+    "\n",
+    "\n",
+    "# Initialize a matplotlib figure\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "\n",
+    "# Iterate over all files that match the pattern\n",
+    "for file_path in glob.glob(file_pattern):\n",
+    "    # Read the CSV file\n",
+    "    df = pd.read_csv(file_path)\n",
+    "\n",
+    "    # Assuming 'WA()' is the column name, extract data from this column\n",
+    "    wa_data = df['WA()']\n",
+    "    \n",
+    "    # Plot the data\n",
+    "    plt.plot(wa_data, label=file_path.split('/')[-1])  # Using file name as label\n",
+    "\n",
+    "# Adding title, labels, and legend\n",
+    "plt.title('Data from Column WA() Across Multiple Files')\n",
+    "plt.xlabel('Index')\n",
+    "plt.ylabel('Values')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.show()"
    ]
   }
  ],