fix merge

Author: negin513

intermediate/indexing/advanced-indexing.ipynb

@@ -115,7 +115,7 @@
     ":::{note} Orthogonal indexing with NumPy\n",
     ":class: dropdown\n",
     "\n",
-    "While Pointwise indexing is the default behavior in NumPy, you can achieve orthogonal indexing by using the [`np.ix_` function](https://numpy.org/doc/stable/reference/generated/numpy.ix_.html). This function constructs an open mesh from multiple arrays, allowing you to index along each dimension independently similar to Xarray indexig behavior. For example: \n",
+    "While Pointwise indexing is the default behavior in NumPy, you can achieve orthogonal indexing by using the [`np.ix_` function](https://numpy.org/doc/stable/reference/generated/numpy.ix_.html). This function constructs an open mesh from multiple arrays, allowing you to index along each dimension independently similar to Xarray indexing behavior. For example: \n",
     "\n",
     "```python\n",
     "ixgrid = np.ix_([0, 2, 4], [0, 2, 4])\n",
@@ -410,6 +410,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3"
+   "version": "3.9.18"
   },
   "toc": {
    "base_numbering": 1,