Merge branch 'main' into codeautolink

Author: dcherian

.pre-commit-config.yaml

@@ -13,7 +13,7 @@ repos:
       - id: double-quote-string-fixer
 
   - repo: https://github.com/psf/black
-    rev: 22.12.0
+    rev: 23.1.0
     hooks:
       - id: black
       - id: black-jupyter
@@ -33,12 +33,12 @@ repos:
     hooks:
       - id: seed-isort-config
   - repo: https://github.com/PyCQA/isort
-    rev: 5.11.4
+    rev: 5.12.0
     hooks:
       - id: isort
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.0.0-alpha.4
+    rev: v3.0.0-alpha.6
     hooks:
       - id: prettier
 

advanced/apply_ufunc/vectorize_1d.ipynb

@@ -602,7 +602,6 @@
     "\n",
     "\n",
     "def xr_interp(data, dim, newdim):\n",
-    "\n",
     "    interped = xr.apply_ufunc(\n",
     "        interp1d_np_gufunc,  # first the function\n",
     "        data,  # now arguments in the order expected by 'interp1_np'\n",

advanced/backends/2.Backend_with_Lazy_Loading.ipynb

@@ -111,7 +111,6 @@
     "        )\n",
     "\n",
     "    def _raw_indexing_method(self, key: tuple):\n",
-    "\n",
     "        key0 = key[0]\n",
     "        size = np.dtype(self.dtype).itemsize\n",
     "\n",

fundamentals/03.3_windowed.ipynb

@@ -213,7 +213,7 @@
     "display(\"center=True\")\n",
     "display(simple.rolling(time=5, center=True).construct(\"window\"))\n",
     "\n",
-    "display(\"center=True\")\n",
+    "display(\"center=False\")\n",
     "display(simple.rolling(time=5, center=False).construct(\"window\"))"
    ]
   },

intermediate/01-high-level-computation-patterns.ipynb

@@ -322,7 +322,7 @@
    "outputs": [],
    "source": [
     "# exactly equivalent to data.rolling(...).mean()\n",
-    "data.rolling(lat=5, lon=5, center=True).reduce(np.ptp).plot()"
+    "data.rolling(lat=5, lon=5, center=True).reduce(np.mean).plot()"
    ]
   },
   {
@@ -526,7 +526,7 @@
    },
    "outputs": [],
    "source": [
-    "(data.coarsen(lat=5, lon=5, boundary=\"trim\").reduce(np.ptp).plot())"
+    "(data.coarsen(lat=5, lon=5, boundary=\"trim\").reduce(np.mean).plot())"
    ]
   },
   {

overview/get-started.md

@@ -15,7 +15,7 @@ Be patient, it can take a few minutes for a server to become available on the Cl
 
 **1. On your computer:** Running tutorials on your computer requires some setup:
 
-We recommend using [`conda-lock`](https://conda-incubator.github.io/conda-lock/) to ensure a fully reproducible Python environment
+We recommend using [`conda-lock`](https://conda.github.io/conda-lock/) to ensure a fully reproducible Python environment
 
 ```
 git clone https://github.com/xarray-contrib/xarray-tutorial.git

overview/xarray-in-45-min.ipynb

@@ -240,7 +240,7 @@
     "\n",
     "<img src=\"https://raw.githubusercontent.com/numpy/numpy/623bc1fae1d47df24e7f1e29321d0c0ba2771ce0/branding/logo/primary/numpylogo.svg\" width=\"25%\">\n",
     "\n",
-    "Xarray structures wrapunderlying simpler array-like data structures. This part of Xarray is quite extensible allowing for distributed array, GPU arrays, sparse arrays, arrays with units etc. We'll  briefly look at this later in this tutorial."
+    "Xarray structures wrap underlying simpler array-like data structures. This part of Xarray is quite extensible allowing for distributed array, GPU arrays, sparse arrays, arrays with units etc. We'll  briefly look at this later in this tutorial."
    ]
   },
   {
@@ -971,7 +971,7 @@
     "<img src=\"https://docs.dask.org/en/stable/_images/dask_horizontal.svg\" width=\"20%\"> [distributed parallel arrays](https://docs.dask.org/en/latest/array.html) & [Xarray user guide on Dask](https://docs.xarray.dev/en/stable/user-guide/dask.html)\n",
     "\n",
     "\n",
-    "<img src=\"https://sparse.pydata.org/en/stable/_images/logo.png\" width=\"15%\"> **pydata/sparse** : [sparse arrays](https://sparse.pydata.org)\n",
+    "<img src=\"https://raw.githubusercontent.com/pydata/sparse/master/docs/logo.svg\" width=\"15%\"> **pydata/sparse** : [sparse arrays](https://sparse.pydata.org)\n",
     "\n",
     "<img src=\"https://raw.githubusercontent.com/cupy/cupy.dev/master/images/cupy_logo.png\" width=\"22%\"> [GPU arrays](https://cupy.dev) & [cupy-xarray](https://cupy-xarray.readthedocs.io/)\n",
     "\n",