Adjust font size

data_processing.ipynb

@@ -325,6 +325,8 @@
    "source": [
     "# Make figure of B1+ values along the spinal cord across shim methods\n",
     "\n",
+    "plt.rcParams['font.family'] = 'Arial'\n",
+    "\n",
     "def smooth_data(data, window_size=20):\n",
     "    \"\"\" Apply a simple moving average to smooth the data. \"\"\"\n",
     "    return uniform_filter1d(data, size=window_size, mode='nearest')\n",
@@ -348,6 +350,7 @@
     "\n",
     "# Create a figure with multiple subplots\n",
     "fig, axes = plt.subplots(n_rows, 1, figsize=(10, 6 * n_rows))\n",
+    "font_size = 18\n",
     "\n",
     "# Check if axes is an array or a single object\n",
     "if n_rows == 1:\n",
@@ -389,12 +392,13 @@
     "    ax.set_xticks(custom_xticks)\n",
     "    ax.set_xticklabels([''] * len(original_vector))\n",
     "\n",
-    "    ax.set_title(f'{subject}')\n",
-    "    ax.set_ylabel('B1+ efficiency [nT/V]')\n",
+    "    ax.set_title(f'{subject}', fontsize=font_size)\n",
+    "    ax.set_ylabel('B1+ efficiency [nT/V]', fontsize=font_size)\n",
+    "    ax.tick_params(axis='y', which='major', labelsize=font_size-4)\n",
     "\n",
     "    # Add legend only to the first subplot\n",
     "    if i == 0:\n",
-    "        ax.legend()\n",
+    "        ax.legend(fontsize=font_size)\n",
     "\n",
     "    ax.grid(True)\n",
     "\n",