update docs

docs/manual/source/conf.py

@@ -27,7 +27,7 @@ copyright = '2019-2021, Zoltán Vörös and contributors'
 author = 'Zoltán Vörös'
 
 # The full version, including alpha/beta/rc tags
-release = '3.0.0'
+release = '3.0.1'
 
 
 # -- General configuration ---------------------------------------------------

docs/manual/source/ulab-ndarray.rst

@@ -869,8 +869,9 @@ array, while the methods return a new array-like object.
 6.  `.reshape <#.reshape>`__
 7.  `.shape <#.shape>`__
 8.  `.size <#.size>`__
-9.  `.transpose <.#transpose>`__
-10. `.sort <#.sort>`__
+9.  `.T <#.transpose>`__
+10. `.transpose <#.transpose>`__
+11. `.sort <#.sort>`__
 
 .byteswap
 ~~~~~~~~~
@@ -1201,6 +1202,11 @@ in the array.
     
 
 
+.T
+
+The ``.T`` property of the ``ndarray`` is equivalent to
+`.transpose <#.transpose>`__.
+
 .tobytes
 ~~~~~~~~
 
@@ -1264,10 +1270,10 @@ dimensions is larger than 1.
     
     a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], dtype=np.uint8)
     print('a:\n', a)
-    print('shape of a:', a.shape())
+    print('shape of a:', a.shape)
     a.transpose()
     print('\ntranspose of a:\n', a)
-    print('shape of a:', a.shape())
+    print('shape of a:', a.shape)
 
 .. parsed-literal::
 
@@ -1287,6 +1293,34 @@ dimensions is larger than 1.
     
 
 
+The transpose of the array can also be gotten through the ``T``
+property:
+
+.. code::
+        
+    # code to be run in micropython
+    
+    from ulab import numpy as np
+    
+    a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.uint8)
+    print('a:\n', a)
+    print('\ntranspose of a:\n', a.T)
+
+.. parsed-literal::
+
+    a:
+     array([[1, 2, 3],
+           [4, 5, 6],
+           [7, 8, 9]], dtype=uint8)
+    
+    transpose of a:
+     array([[1, 4, 7],
+           [2, 5, 8],
+           [3, 6, 9]], dtype=uint8)
+    
+    
+
+
 .sort
 ~~~~~
 
@@ -1365,10 +1399,10 @@ length of the first axis.
     
     print("a:\t", a)
     print("length of a: ", len(a))
-    print("shape of a: ", a.shape())
+    print("shape of a: ", a.shape)
     print("\nb:\t", b)
     print("length of b: ", len(b))
-    print("shape of b: ", b.shape())
+    print("shape of b: ", b.shape)
 
 .. parsed-literal::
 

docs/ulab-convert.ipynb

@@ -61,7 +61,7 @@
     "author = 'Zoltán Vörös'\n",
     "\n",
     "# The full version, including alpha/beta/rc tags\n",
-    "release = '3.0.0'\n",
+    "release = '3.0.1'\n",
     "\n",
     "\n",
     "# -- General configuration ---------------------------------------------------\n",
@@ -435,9 +435,8 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
+   "name": "python3",
+   "display_name": "Python 3.8.5 64-bit ('base': conda)"
   },
   "language_info": {
    "codemirror_mode": {
@@ -497,6 +496,9 @@
     "_Feature"
    ],
    "window_display": false
+  },
+  "interpreter": {
+   "hash": "ce9a02f9f7db620716422019cafa4bc1786ca85daa298b819f6da075e7993842"
   }
  },
  "nbformat": 4,

docs/ulab-ndarray.ipynb

@@ -1324,7 +1324,8 @@
     "1. [.reshape](#.reshape)\n",
     "1. [.shape](#.shape)\n",
     "1. [.size](#.size)\n",
-    "1. [.transpose](.#transpose)\n",
+    "1. [.T](#.transpose)\n",
+    "1. [.transpose](#.transpose)\n",
     "1. [.sort](#.sort)"
    ]
   },
@@ -1779,6 +1780,15 @@
     "print(\"size of b:\", b.size)"
    ]
   },
+  {
+   "source": [
+    ".T\n",
+    "\n",
+    "The `.T` property of the `ndarray` is equivalent to [.transpose](#.transpose)."
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1883,10 +1893,40 @@
     "\n",
     "a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], dtype=np.uint8)\n",
     "print('a:\\n', a)\n",
-    "print('shape of a:', a.shape())\n",
+    "print('shape of a:', a.shape)\n",
     "a.transpose()\n",
     "print('\\ntranspose of a:\\n', a)\n",
-    "print('shape of a:', a.shape())"
+    "print('shape of a:', a.shape)"
+   ]
+  },
+  {
+   "source": [
+    "The transpose of the array can also be gotten through the `T` property:"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "a:\n array([[1, 2, 3],\n       [4, 5, 6],\n       [7, 8, 9]], dtype=uint8)\n\ntranspose of a:\n array([[1, 4, 7],\n       [2, 5, 8],\n       [3, 6, 9]], dtype=uint8)\n\n\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%micropython -unix 1\n",
+    "\n",
+    "from ulab import numpy as np\n",
+    "\n",
+    "a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.uint8)\n",
+    "print('a:\\n', a)\n",
+    "print('\\ntranspose of a:\\n', a.T)"
    ]
   },
   {
@@ -2016,10 +2056,10 @@
     "\n",
     "print(\"a:\\t\", a)\n",
     "print(\"length of a: \", len(a))\n",
-    "print(\"shape of a: \", a.shape())\n",
+    "print(\"shape of a: \", a.shape)\n",
     "print(\"\\nb:\\t\", b)\n",
     "print(\"length of b: \", len(b))\n",
-    "print(\"shape of b: \", b.shape())"
+    "print(\"shape of b: \", b.shape)"
    ]
   },
   {
@@ -3338,9 +3378,8 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
+   "name": "python3",
+   "display_name": "Python 3.8.5 64-bit ('base': conda)"
   },
   "language_info": {
    "codemirror_mode": {
@@ -3400,6 +3439,9 @@
     "_Feature"
    ],
    "window_display": false
+  },
+  "interpreter": {
+   "hash": "ce9a02f9f7db620716422019cafa4bc1786ca85daa298b819f6da075e7993842"
   }
  },
  "nbformat": 4,