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Added another solution and a hint to question 96 on the ipynb files

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This commit is contained in:
Andreas Kouzelis 2018-11-05 22:54:45 +02:00
parent 27d8ea6bee
commit fb085b12f2
2 changed files with 196 additions and 561 deletions
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380
100_Numpy_exercises.ipynb
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@ -40,9 +40,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"print(np.__version__)\n", "print(np.__version__)\n",
@ -59,9 +57,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros(10)\n", "Z = np.zeros(10)\n",
@ -78,9 +74,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros((10,10))\n", "Z = np.zeros((10,10))\n",
@ -115,9 +109,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros(10)\n", "Z = np.zeros(10)\n",
@ -135,9 +127,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(10,50)\n", "Z = np.arange(10,50)\n",
@ -154,9 +144,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(50)\n", "Z = np.arange(50)\n",
@ -174,9 +162,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(9).reshape(3,3)\n", "Z = np.arange(9).reshape(3,3)\n",
@ -193,9 +179,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"nz = np.nonzero([1,2,0,0,4,0])\n", "nz = np.nonzero([1,2,0,0,4,0])\n",
@ -212,9 +196,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.eye(3)\n", "Z = np.eye(3)\n",
@ -250,9 +232,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random((10,10))\n", "Z = np.random.random((10,10))\n",
@ -270,9 +250,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random(30)\n", "Z = np.random.random(30)\n",
@ -290,9 +268,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.ones((10,10))\n", "Z = np.ones((10,10))\n",
@ -310,9 +286,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.ones((5,5))\n", "Z = np.ones((5,5))\n",
@ -330,16 +304,14 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"print(0 * np.nan)\n", "print(0 * np.nan)\n",
"print(np.nan == np.nan)\n", "print(np.nan == np.nan)\n",
"print(np.inf > np.nan)\n", "print(np.inf > np.nan)\n",
"print(np.nan - np.nan)\n", "print(np.nan - np.nan)\n",
"print(np.nan in set([np.nan]))\n", "print(np.nan in set([np.nan]))\n",
"print(0.3 == 3 * 0.1)" "print(0.3 == 3 * 0.1)"
] ]
}, },
@ -353,9 +325,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.diag(1+np.arange(4),k=-1)\n", "Z = np.diag(1+np.arange(4),k=-1)\n",
@ -372,9 +342,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros((8,8),dtype=int)\n", "Z = np.zeros((8,8),dtype=int)\n",
@ -393,9 +361,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"print(np.unravel_index(100,(6,7,8)))" "print(np.unravel_index(100,(6,7,8)))"
@ -411,9 +377,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.tile( np.array([[0,1],[1,0]]), (4,4))\n", "Z = np.tile( np.array([[0,1],[1,0]]), (4,4))\n",
@ -430,9 +394,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random((5,5))\n", "Z = np.random.random((5,5))\n",
@ -471,9 +433,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.dot(np.ones((5,3)), np.ones((3,2)))\n", "Z = np.dot(np.ones((5,3)), np.ones((3,2)))\n",
@ -493,9 +453,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Evgeni Burovski\n", "# Author: Evgeni Burovski\n",
@ -515,9 +473,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jake VanderPlas\n", "# Author: Jake VanderPlas\n",
@ -537,9 +493,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z**Z\n", "Z**Z\n",
@ -560,9 +514,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"print(np.array(0) / np.array(0))\n", "print(np.array(0) / np.array(0))\n",
@ -580,9 +532,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Charles R Harris\n", "# Author: Charles R Harris\n",
@ -601,9 +551,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z1 = np.random.randint(0,10,10)\n", "Z1 = np.random.randint(0,10,10)\n",
@ -621,9 +569,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Suicide mode on\n", "# Suicide mode on\n",
@ -649,9 +595,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"np.sqrt(-1) == np.emath.sqrt(-1)" "np.sqrt(-1) == np.emath.sqrt(-1)"
@ -687,9 +631,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange('2016-07', '2016-08', dtype='datetime64[D]')\n", "Z = np.arange('2016-07', '2016-08', dtype='datetime64[D]')\n",
@ -706,9 +648,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"A = np.ones(3)*1\n", "A = np.ones(3)*1\n",
@ -730,9 +670,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.uniform(0,10,10)\n", "Z = np.random.uniform(0,10,10)\n",
@ -754,9 +692,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros((5,5))\n", "Z = np.zeros((5,5))\n",
@ -774,9 +710,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"def generate():\n", "def generate():\n",
@ -796,9 +730,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.linspace(0,1,11,endpoint=False)[1:]\n", "Z = np.linspace(0,1,11,endpoint=False)[1:]\n",
@ -815,9 +747,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random(10)\n", "Z = np.random.random(10)\n",
@ -835,9 +765,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Evgeni Burovski\n", "# Author: Evgeni Burovski\n",
@ -856,9 +784,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"A = np.random.randint(0,2,5)\n", "A = np.random.randint(0,2,5)\n",
@ -883,9 +809,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros(10)\n", "Z = np.zeros(10)\n",
@ -903,9 +827,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random((10,2))\n", "Z = np.random.random((10,2))\n",
@ -926,9 +848,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random(10)\n", "Z = np.random.random(10)\n",
@ -946,9 +866,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros((5,5), [('x',float),('y',float)])\n", "Z = np.zeros((5,5), [('x',float),('y',float)])\n",
@ -967,9 +885,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Evgeni Burovski\n", "# Author: Evgeni Burovski\n",
@ -990,9 +906,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"for dtype in [np.int8, np.int32, np.int64]:\n", "for dtype in [np.int8, np.int32, np.int64]:\n",
@ -1014,9 +928,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"np.set_printoptions(threshold=np.nan)\n", "np.set_printoptions(threshold=np.nan)\n",
@ -1034,9 +946,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(100)\n", "Z = np.arange(100)\n",
@ -1055,9 +965,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.zeros(10, [ ('position', [ ('x', float, 1),\n", "Z = np.zeros(10, [ ('position', [ ('x', float, 1),\n",
@ -1078,9 +986,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.random((10,2))\n", "Z = np.random.random((10,2))\n",
@ -1108,9 +1014,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(10, dtype=np.float32)\n", "Z = np.arange(10, dtype=np.float32)\n",
@ -1128,9 +1032,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"from io import StringIO\n", "from io import StringIO\n",
@ -1153,9 +1055,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(9).reshape(3,3)\n", "Z = np.arange(9).reshape(3,3)\n",
@ -1175,9 +1075,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"X, Y = np.meshgrid(np.linspace(-1,1,10), np.linspace(-1,1,10))\n", "X, Y = np.meshgrid(np.linspace(-1,1,10), np.linspace(-1,1,10))\n",
@ -1197,9 +1095,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Divakar\n", "# Author: Divakar\n",
@ -1221,9 +1117,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Warren Weckesser\n", "# Author: Warren Weckesser\n",
@ -1249,9 +1143,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Steve Tjoa\n", "# Author: Steve Tjoa\n",
@ -1271,9 +1163,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Warren Weckesser\n", "# Author: Warren Weckesser\n",
@ -1292,9 +1182,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.uniform(0,1,10)\n", "Z = np.random.uniform(0,1,10)\n",
@ -1313,9 +1201,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"A = np.arange(3).reshape(3,1)\n", "A = np.arange(3).reshape(3,1)\n",
@ -1335,9 +1221,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"class NamedArray(np.ndarray):\n", "class NamedArray(np.ndarray):\n",
@ -1363,9 +1247,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Brett Olsen\n", "# Author: Brett Olsen\n",
@ -1391,9 +1273,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Alan G Isaac\n", "# Author: Alan G Isaac\n",
@ -1414,9 +1294,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Nadav Horesh\n", "# Author: Nadav Horesh\n",
@ -1440,9 +1318,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"A = np.random.randint(0,10,(3,4,3,4))\n", "A = np.random.randint(0,10,(3,4,3,4))\n",
@ -1465,9 +1341,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jaime Fernández del Río\n", "# Author: Jaime Fernández del Río\n",
@ -1494,9 +1368,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Mathieu Blondel\n", "# Author: Mathieu Blondel\n",
@ -1524,9 +1396,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Warren Weckesser\n", "# Author: Warren Weckesser\n",
@ -1568,9 +1438,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Eelco Hoogendoorn\n", "# Author: Eelco Hoogendoorn\n",
@ -1590,9 +1458,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Nicolas P. Rougier\n", "# Author: Nicolas P. Rougier\n",
@ -1616,9 +1482,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jaime Fernández del Río\n", "# Author: Jaime Fernández del Río\n",
@ -1638,9 +1502,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jaime Fernández del Río\n", "# Author: Jaime Fernández del Río\n",
@ -1663,9 +1525,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Joe Kington / Erik Rigtorp\n", "# Author: Joe Kington / Erik Rigtorp\n",
@ -1689,9 +1549,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Nathaniel J. Smith\n", "# Author: Nathaniel J. Smith\n",
@ -1713,9 +1571,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"def distance(P0, P1, p):\n", "def distance(P0, P1, p):\n",
@ -1742,9 +1598,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Italmassov Kuanysh\n", "# Author: Italmassov Kuanysh\n",
@ -1766,9 +1620,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Nicolas Rougier\n", "# Author: Nicolas Rougier\n",
@ -1810,9 +1662,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Stefan van der Walt\n", "# Author: Stefan van der Walt\n",
@ -1832,9 +1682,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Stefan van der Walt\n", "# Author: Stefan van der Walt\n",
@ -1855,9 +1703,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.random.randint(0,10,50)\n", "Z = np.random.randint(0,10,50)\n",
@ -1874,9 +1720,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Chris Barker\n", "# Author: Chris Barker\n",
@ -1899,9 +1743,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Eric O. Lebigot\n", "# Author: Eric O. Lebigot\n",
@ -1931,9 +1773,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Stefan van der Walt\n", "# Author: Stefan van der Walt\n",
@ -1961,9 +1801,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Robert Kern\n", "# Author: Robert Kern\n",
@ -1985,9 +1823,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Nicolas Rougier\n", "# Author: Nicolas Rougier\n",
@ -2020,9 +1856,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.arange(10000)\n", "Z = np.arange(10000)\n",
@ -2047,7 +1881,6 @@
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false,
"scrolled": true "scrolled": true
}, },
"outputs": [], "outputs": [],
@ -2079,9 +1912,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"Z = np.array([(\"Hello\", 2.5, 3),\n", "Z = np.array([(\"Hello\", 2.5, 3),\n",
@ -2102,9 +1933,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Ryan G.\n", "# Author: Ryan G.\n",
@ -2126,9 +1955,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Gabe Schwartz\n", "# Author: Gabe Schwartz\n",
@ -2151,9 +1978,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Robert Kern\n", "# Author: Robert Kern\n",
@ -2179,9 +2004,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Warren Weckesser\n", "# Author: Warren Weckesser\n",
@ -2206,9 +2029,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jaime Fernández del Río\n", "# Author: Jaime Fernández del Río\n",
@ -2217,6 +2038,11 @@
"T = np.ascontiguousarray(Z).view(np.dtype((np.void, Z.dtype.itemsize * Z.shape[1])))\n", "T = np.ascontiguousarray(Z).view(np.dtype((np.void, Z.dtype.itemsize * Z.shape[1])))\n",
"_, idx = np.unique(T, return_index=True)\n", "_, idx = np.unique(T, return_index=True)\n",
"uZ = Z[idx]\n", "uZ = Z[idx]\n",
"print(uZ)\n",
"\n",
"# Author: Andreas Kouzelis\n",
"# NumPy >= 1.13\n",
"uZ = np.unique(Z, axis=0)\n",
"print(uZ)" "print(uZ)"
] ]
}, },
@ -2230,9 +2056,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Alex Riley\n", "# Author: Alex Riley\n",
@ -2287,9 +2111,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Evgeni Burovski\n", "# Author: Evgeni Burovski\n",
@ -2313,9 +2135,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Author: Jessica B. Hamrick\n", "# Author: Jessica B. Hamrick\n",
@ -2345,9 +2165,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.5.1" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 0 "nbformat_minor": 1
} }

377
100_Numpy_exercises_with_hint.ipynb
View File

@ -40,9 +40,7 @@
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@ -57,9 +55,7 @@
{ {
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@ -74,9 +70,7 @@
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@ -108,9 +102,7 @@
{ {
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@ -125,9 +117,7 @@
{ {
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"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
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}, },
@ -142,9 +132,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -159,9 +147,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -176,9 +162,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -193,9 +177,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -227,9 +209,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -244,9 +224,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -261,9 +239,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -278,9 +254,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -301,7 +275,7 @@
"np.nan == np.nan\n", "np.nan == np.nan\n",
"np.inf > np.nan\n", "np.inf > np.nan\n",
"np.nan - np.nan\n", "np.nan - np.nan\n",
"np.nan in set([np.nan])\n", "np.nan in set([np.nan])\n",
"0.3 == 3 * 0.1\n", "0.3 == 3 * 0.1\n",
"```" "```"
] ]
@ -309,9 +283,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -326,9 +298,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -343,9 +313,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -360,9 +328,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -377,9 +343,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -394,9 +358,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -428,9 +390,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -445,9 +405,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
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}, },
@ -475,9 +433,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -505,9 +461,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -532,9 +486,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -549,9 +501,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -566,9 +516,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -583,9 +531,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -609,9 +555,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
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}, },
@ -643,9 +587,7 @@
{ {
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"metadata": { "metadata": {},
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},
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@ -660,9 +602,7 @@
{ {
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"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -677,9 +617,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -694,9 +632,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -711,9 +647,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -728,9 +662,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -745,9 +677,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -762,9 +692,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -779,9 +707,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -796,9 +722,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -813,9 +737,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -830,9 +752,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -847,9 +767,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -864,9 +782,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -881,9 +797,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
},
"outputs": [], "outputs": [],
"source": [] "source": []
}, },
@ -898,9 +812,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": false
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"metadata": {}, "metadata": {},
"source": [ "source": [
"#### 96. Given a two dimensional array, how to extract unique rows? (★★★) \n", "#### 96. Given a two dimensional array, how to extract unique rows? (★★★) \n",
"(**hint**: np.ascontiguousarray)" "(**hint**: np.ascontiguousarray | np.unique)"
] ]
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"name": "python", "name": "python",
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