Updated tutorial.ipynb

Author: gourav3017

Tutorial.ipynb

@@ -7,9 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# !pip install -r requirements.txt\n",
-    "import sys\n",
-    "sys.path.append('..\\Python-PORT')"
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -46,7 +44,7 @@
    "source": [
     "# specify the patient data location\n",
     "# you first need to download the patient database from the link provided in the PortPy GitHub page\n",
-    "data_dir = r'F:\\Research\\Data_newformat\\Python-PORT\\data'\n",
+    "data_dir = r'.\\data'\n",
     "# pick a patient from the existing patient list to get detailed info about the patient data (e.g., beams_dict, structures, ...)\n",
     "patient_id = 'Lung_Patient_1'\n",
     "# create my_plan object for the planner beams_dict and select among the beams which are 30 degrees apart\n",
@@ -57,7 +55,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "21969588",
+   "id": "47048715",
    "metadata": {},
    "outputs": [
     {
@@ -88,7 +86,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "746113f2",
+   "id": "04b85c2a",
    "metadata": {},
    "outputs": [
     {
@@ -145,7 +143,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9f408d03",
+   "id": "b186a5af",
    "metadata": {},
    "outputs": [
     {
@@ -174,7 +172,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "f1e95393",
+   "id": "7d45fa60",
    "metadata": {},
    "outputs": [
     {
@@ -202,7 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "2f79b86e",
+   "id": "61e603d8",
    "metadata": {},
    "outputs": [
     {
@@ -229,7 +227,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "60949d8d",
+   "id": "72795dad",
    "metadata": {},
    "outputs": [
     {
@@ -259,7 +257,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "eac55c7c",
+   "id": "75125e63",
    "metadata": {},
    "outputs": [
     {
@@ -287,7 +285,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "069ce099",
+   "id": "006e5590",
    "metadata": {},
    "outputs": [
     {