Skip to content

Commit 880af71

Browse files
rasbtrasbt
committed
added alternative links to UCI datasets
1 parent 78095ea commit 880af71

File tree

8 files changed

+876
-5
lines changed

8 files changed

+876
-5
lines changed

‎code/ch02/ch02.ipynb

+101-1
Original file line numberDiff line numberDiff line change
@@ -434,7 +434,107 @@
434434
"cell_type": "markdown",
435435
"metadata": {},
436436
"source": [
437-
"Note: If the link to the Iris dataset provided above does not work for you, you can find a local copy in this repository at [./../datasets/iris.data](./../datasets/iris.data)."
437+
"<hr>\n",
438+
"\n",
439+
"### Note:\n",
440+
"\n",
441+
"\n",
442+
"If the link to the Iris dataset provided above does not work for you, you can find a local copy in this repository at [./../datasets/iris/iris.data](./../datasets/iris/iris.data).\n",
443+
"\n",
444+
"Or you could fetch it via"
445+
]
446+
},
447+
{
448+
"cell_type": "code",
449+
"execution_count": 1,
450+
"metadata": {
451+
"collapsed": false
452+
},
453+
"outputs": [
454+
{
455+
"data": {
456+
"text/html": [
457+
"<div>\n",
458+
"<table border=\"1\" class=\"dataframe\">\n",
459+
" <thead>\n",
460+
" <tr style=\"text-align: right;\">\n",
461+
" <th></th>\n",
462+
" <th>0</th>\n",
463+
" <th>1</th>\n",
464+
" <th>2</th>\n",
465+
" <th>3</th>\n",
466+
" <th>4</th>\n",
467+
" </tr>\n",
468+
" </thead>\n",
469+
" <tbody>\n",
470+
" <tr>\n",
471+
" <th>145</th>\n",
472+
" <td>6.7</td>\n",
473+
" <td>3.0</td>\n",
474+
" <td>5.2</td>\n",
475+
" <td>2.3</td>\n",
476+
" <td>Iris-virginica</td>\n",
477+
" </tr>\n",
478+
" <tr>\n",
479+
" <th>146</th>\n",
480+
" <td>6.3</td>\n",
481+
" <td>2.5</td>\n",
482+
" <td>5.0</td>\n",
483+
" <td>1.9</td>\n",
484+
" <td>Iris-virginica</td>\n",
485+
" </tr>\n",
486+
" <tr>\n",
487+
" <th>147</th>\n",
488+
" <td>6.5</td>\n",
489+
" <td>3.0</td>\n",
490+
" <td>5.2</td>\n",
491+
" <td>2.0</td>\n",
492+
" <td>Iris-virginica</td>\n",
493+
" </tr>\n",
494+
" <tr>\n",
495+
" <th>148</th>\n",
496+
" <td>6.2</td>\n",
497+
" <td>3.4</td>\n",
498+
" <td>5.4</td>\n",
499+
" <td>2.3</td>\n",
500+
" <td>Iris-virginica</td>\n",
501+
" </tr>\n",
502+
" <tr>\n",
503+
" <th>149</th>\n",
504+
" <td>5.9</td>\n",
505+
" <td>3.0</td>\n",
506+
" <td>5.1</td>\n",
507+
" <td>1.8</td>\n",
508+
" <td>Iris-virginica</td>\n",
509+
" </tr>\n",
510+
" </tbody>\n",
511+
"</table>\n",
512+
"</div>"
513+
],
514+
"text/plain": [
515+
" 0 1 2 3 4\n",
516+
"145 6.7 3.0 5.2 2.3 Iris-virginica\n",
517+
"146 6.3 2.5 5.0 1.9 Iris-virginica\n",
518+
"147 6.5 3.0 5.2 2.0 Iris-virginica\n",
519+
"148 6.2 3.4 5.4 2.3 Iris-virginica\n",
520+
"149 5.9 3.0 5.1 1.8 Iris-virginica"
521+
]
522+
},
523+
"execution_count": 1,
524+
"metadata": {},
525+
"output_type": "execute_result"
526+
}
527+
],
528+
"source": [
529+
"df = pd.read_csv('https://raw.githubusercontent.com/rasbt/python-machine-learning-book/master/code/datasets/iris/iris.data', header=None)\n",
530+
"df.tail()"
531+
]
532+
},
533+
{
534+
"cell_type": "markdown",
535+
"metadata": {},
536+
"source": [
537+
"<hr>"
438538
]
439539
},
440540
{

‎code/ch03/ch03.ipynb

+1-1
Original file line numberDiff line numberDiff line change
@@ -1451,7 +1451,7 @@
14511451
"name": "python",
14521452
"nbconvert_exporter": "python",
14531453
"pygments_lexer": "ipython3",
1454-
"version": "3.5.0"
1454+
"version": "3.5.1"
14551455
}
14561456
},
14571457
"nbformat": 4,

‎code/ch04/ch04.ipynb

+181-1
Original file line numberDiff line numberDiff line change
@@ -1391,6 +1391,186 @@
13911391
"df_wine.head()"
13921392
]
13931393
},
1394+
{
1395+
"cell_type": "markdown",
1396+
"metadata": {},
1397+
"source": [
1398+
"<hr>\n",
1399+
"\n",
1400+
"### Note:\n",
1401+
"\n",
1402+
"\n",
1403+
"If the link to the Wine dataset provided above does not work for you, you can find a local copy in this repository at [./../datasets/wine/wine.data](./../datasets/wine.data).\n",
1404+
"\n",
1405+
"Or you could fetch it via\n"
1406+
]
1407+
},
1408+
{
1409+
"cell_type": "code",
1410+
"execution_count": 6,
1411+
"metadata": {
1412+
"collapsed": false
1413+
},
1414+
"outputs": [
1415+
{
1416+
"data": {
1417+
"text/html": [
1418+
"<div>\n",
1419+
"<table border=\"1\" class=\"dataframe\">\n",
1420+
" <thead>\n",
1421+
" <tr style=\"text-align: right;\">\n",
1422+
" <th></th>\n",
1423+
" <th>Class label</th>\n",
1424+
" <th>Alcohol</th>\n",
1425+
" <th>Malic acid</th>\n",
1426+
" <th>Ash</th>\n",
1427+
" <th>Alcalinity of ash</th>\n",
1428+
" <th>Magnesium</th>\n",
1429+
" <th>Total phenols</th>\n",
1430+
" <th>Flavanoids</th>\n",
1431+
" <th>Nonflavanoid phenols</th>\n",
1432+
" <th>Proanthocyanins</th>\n",
1433+
" <th>Color intensity</th>\n",
1434+
" <th>Hue</th>\n",
1435+
" <th>OD280/OD315 of diluted wines</th>\n",
1436+
" <th>Proline</th>\n",
1437+
" </tr>\n",
1438+
" </thead>\n",
1439+
" <tbody>\n",
1440+
" <tr>\n",
1441+
" <th>0</th>\n",
1442+
" <td>1</td>\n",
1443+
" <td>14.23</td>\n",
1444+
" <td>1.71</td>\n",
1445+
" <td>2.43</td>\n",
1446+
" <td>15.6</td>\n",
1447+
" <td>127</td>\n",
1448+
" <td>2.80</td>\n",
1449+
" <td>3.06</td>\n",
1450+
" <td>0.28</td>\n",
1451+
" <td>2.29</td>\n",
1452+
" <td>5.64</td>\n",
1453+
" <td>1.04</td>\n",
1454+
" <td>3.92</td>\n",
1455+
" <td>1065</td>\n",
1456+
" </tr>\n",
1457+
" <tr>\n",
1458+
" <th>1</th>\n",
1459+
" <td>1</td>\n",
1460+
" <td>13.20</td>\n",
1461+
" <td>1.78</td>\n",
1462+
" <td>2.14</td>\n",
1463+
" <td>11.2</td>\n",
1464+
" <td>100</td>\n",
1465+
" <td>2.65</td>\n",
1466+
" <td>2.76</td>\n",
1467+
" <td>0.26</td>\n",
1468+
" <td>1.28</td>\n",
1469+
" <td>4.38</td>\n",
1470+
" <td>1.05</td>\n",
1471+
" <td>3.40</td>\n",
1472+
" <td>1050</td>\n",
1473+
" </tr>\n",
1474+
" <tr>\n",
1475+
" <th>2</th>\n",
1476+
" <td>1</td>\n",
1477+
" <td>13.16</td>\n",
1478+
" <td>2.36</td>\n",
1479+
" <td>2.67</td>\n",
1480+
" <td>18.6</td>\n",
1481+
" <td>101</td>\n",
1482+
" <td>2.80</td>\n",
1483+
" <td>3.24</td>\n",
1484+
" <td>0.30</td>\n",
1485+
" <td>2.81</td>\n",
1486+
" <td>5.68</td>\n",
1487+
" <td>1.03</td>\n",
1488+
" <td>3.17</td>\n",
1489+
" <td>1185</td>\n",
1490+
" </tr>\n",
1491+
" <tr>\n",
1492+
" <th>3</th>\n",
1493+
" <td>1</td>\n",
1494+
" <td>14.37</td>\n",
1495+
" <td>1.95</td>\n",
1496+
" <td>2.50</td>\n",
1497+
" <td>16.8</td>\n",
1498+
" <td>113</td>\n",
1499+
" <td>3.85</td>\n",
1500+
" <td>3.49</td>\n",
1501+
" <td>0.24</td>\n",
1502+
" <td>2.18</td>\n",
1503+
" <td>7.80</td>\n",
1504+
" <td>0.86</td>\n",
1505+
" <td>3.45</td>\n",
1506+
" <td>1480</td>\n",
1507+
" </tr>\n",
1508+
" <tr>\n",
1509+
" <th>4</th>\n",
1510+
" <td>1</td>\n",
1511+
" <td>13.24</td>\n",
1512+
" <td>2.59</td>\n",
1513+
" <td>2.87</td>\n",
1514+
" <td>21.0</td>\n",
1515+
" <td>118</td>\n",
1516+
" <td>2.80</td>\n",
1517+
" <td>2.69</td>\n",
1518+
" <td>0.39</td>\n",
1519+
" <td>1.82</td>\n",
1520+
" <td>4.32</td>\n",
1521+
" <td>1.04</td>\n",
1522+
" <td>2.93</td>\n",
1523+
" <td>735</td>\n",
1524+
" </tr>\n",
1525+
" </tbody>\n",
1526+
"</table>\n",
1527+
"</div>"
1528+
],
1529+
"text/plain": [
1530+
" Class label Alcohol Malic acid Ash Alcalinity of ash Magnesium \\\n",
1531+
"0 1 14.23 1.71 2.43 15.6 127 \n",
1532+
"1 1 13.20 1.78 2.14 11.2 100 \n",
1533+
"2 1 13.16 2.36 2.67 18.6 101 \n",
1534+
"3 1 14.37 1.95 2.50 16.8 113 \n",
1535+
"4 1 13.24 2.59 2.87 21.0 118 \n",
1536+
"\n",
1537+
" Total phenols Flavanoids Nonflavanoid phenols Proanthocyanins \\\n",
1538+
"0 2.80 3.06 0.28 2.29 \n",
1539+
"1 2.65 2.76 0.26 1.28 \n",
1540+
"2 2.80 3.24 0.30 2.81 \n",
1541+
"3 3.85 3.49 0.24 2.18 \n",
1542+
"4 2.80 2.69 0.39 1.82 \n",
1543+
"\n",
1544+
" Color intensity Hue OD280/OD315 of diluted wines Proline \n",
1545+
"0 5.64 1.04 3.92 1065 \n",
1546+
"1 4.38 1.05 3.40 1050 \n",
1547+
"2 5.68 1.03 3.17 1185 \n",
1548+
"3 7.80 0.86 3.45 1480 \n",
1549+
"4 4.32 1.04 2.93 735 "
1550+
]
1551+
},
1552+
"execution_count": 6,
1553+
"metadata": {},
1554+
"output_type": "execute_result"
1555+
}
1556+
],
1557+
"source": [
1558+
"df_wine = pd.read_csv('https://raw.githubusercontent.com/rasbt/python-machine-learning-book/master/code/datasets/wine/wine.data', header=None)\n",
1559+
"\n",
1560+
"df_wine.columns = ['Class label', 'Alcohol', 'Malic acid', 'Ash', \n",
1561+
"'Alcalinity of ash', 'Magnesium', 'Total phenols', \n",
1562+
"'Flavanoids', 'Nonflavanoid phenols', 'Proanthocyanins', \n",
1563+
"'Color intensity', 'Hue', 'OD280/OD315 of diluted wines', 'Proline']\n",
1564+
"df_wine.head()"
1565+
]
1566+
},
1567+
{
1568+
"cell_type": "markdown",
1569+
"metadata": {},
1570+
"source": [
1571+
"<hr>"
1572+
]
1573+
},
13941574
{
13951575
"cell_type": "code",
13961576
"execution_count": 28,
@@ -2107,7 +2287,7 @@
21072287
"name": "python",
21082288
"nbconvert_exporter": "python",
21092289
"pygments_lexer": "ipython3",
2110-
"version": "3.5.0"
2290+
"version": "3.5.1"
21112291
}
21122292
},
21132293
"nbformat": 4,

0 commit comments

Comments
 (0)