ueapy#5 dtype usage

sharma-satyam697 · Jun 23, 2023 · 81f4454 · 81f4454
1 parent f4da573
commit 81f4454
Showing 1 changed file with 142 additions and 20 deletions.
diff --git a/notebooks/solutions/13-Numpy-Intro-solutions.ipynb b/notebooks/solutions/13-Numpy-Intro-solutions.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,9 +36,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([    0,     1,     2, ..., 86398, 86399, 86400])"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# a)\n",
     "np.arange(0,86401)\n",
@@ -48,9 +59,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([    0,  3600,  7200, 10800, 14400, 18000, 21600, 25200, 28800,\n",
+       "       32400, 36000, 39600, 43200, 46800, 50400, 54000, 57600, 61200,\n",
+       "       64800, 68400, 72000, 75600, 79200, 82800, 86400])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# b)\n",
     "np.arange(0,86401,60) # minutes\n",
@@ -90,9 +114,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[ 2.   3.2  5.5 -6.4 -2.2  2.4]\n",
+      " [ 1.  22.   4.   0.1  5.3 -9. ]\n",
+      " [-1.  18.   6.2  1.3  7.  -5. ]\n",
+      " [ 3.   1.   2.1 21.   1.1 -2. ]]\n"
+     ]
+    }
+   ],
    "source": [
     "# Solution\n",
     "a=np.array([[2, 3.2, 5.5, -6.4, -2.2, 2.4],\n",
@@ -112,29 +147,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-6.4,  0.1,  1.3, 21. ])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "a[:, 3]\n",
     "# This is the 4th column of a (recall that we start indexing with 0)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 1. , 22. ,  4. ,  0.1],\n",
+       "       [-1. , 18. ,  6.2,  1.3],\n",
+       "       [ 3. ,  1. ,  2.1, 21. ]])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "a[1:4, 0:4]\n",
     "# rows 1 to 4 (second to last) and columns first to fourth"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([4. , 6.2, 2.1])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "a[1:, 2]\n",
     "# All rows starting from the second, from the third column"
@@ -149,19 +219,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 2.4, -9. , -5. , -2. ])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# i)\n",
     "a[:,-1] # This is the last column"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-1. , 18. ,  6.2,  1.3,  7. , -5. ])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# ii)\n",
     "a[-2,:] # This is the row before last"
@@ -189,13 +281,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "nbpresent": {
      "id": "e4b78e95-ad9a-4a6d-a54b-68d7d4a72eab"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0,  5, 10, 15, 20],\n",
+       "       [25, 30, 35, 40, 45],\n",
+       "       [50, 55, 60, 65, 70],\n",
+       "       [75, 80, 85, 90, 95]])"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "a = np.arange(0, 100, 5).reshape(4, 5) \n",
     "a"
@@ -248,6 +354,14 @@
     "result"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reason to use dype is to get the array with our specific data type. Above dtype = a.dytpe refers to the same datatype which an array 'a' holds"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -290,6 +404,14 @@
     "print(result)"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Why do we use dtype for creating placeholder array? (is this needed?)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -462,7 +584,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.1"
   }
  },
  "nbformat": 4,