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tap1012
Commit ddb6fbf4 authored by Mario Chirinos Colunga's avatar Mario Chirinos Colunga 💬
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05-NumPy&Pandas.ipynb
View file @ ddb6fbf4
......@@ -601,9 +601,9 @@
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......@@ -669,10 +669,10 @@
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......@@ -735,9 +735,9 @@
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......@@ -856,11 +856,11 @@
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......@@ -963,7 +963,7 @@
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......@@ -1053,10 +1054,10 @@
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"a False\n",
"a True\n",
"b True\n",
"c False\n",
"d True\n",
"d False\n",
"e False\n",
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......@@ -1221,7 +1222,7 @@
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......@@ -1231,7 +1232,7 @@
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......@@ -1241,7 +1242,7 @@
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......@@ -1250,7 +1251,7 @@
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"execution_count": 54,
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......@@ -1317,7 +1318,7 @@
"x NaN 2.0"
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"execution_count": 7,
"execution_count": 54,
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......@@ -1335,7 +1336,7 @@
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......@@ -1349,7 +1350,7 @@
"Name: one, dtype: float64"
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"execution_count": 55,
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......@@ -1360,7 +1361,7 @@
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{
"cell_type": "code",
"execution_count": 11,
"execution_count": 56,
"metadata": {},
"outputs": [
{
......@@ -1439,7 +1440,7 @@
"x NaN 2.0 NaN False"
]
},
"execution_count": 11,
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1452,7 +1453,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
......@@ -1461,7 +1462,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 58,
"metadata": {},
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"source": [
......@@ -1470,7 +1471,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 59,
"metadata": {},
"outputs": [
{
......@@ -1537,7 +1538,7 @@
"x NaN False"
]
},
"execution_count": 14,
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
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......@@ -1548,7 +1549,7 @@
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"cell_type": "code",
"execution_count": 16,
"execution_count": 60,
"metadata": {},
"outputs": [
{
......@@ -1574,7 +1575,6 @@
" <th></th>\n",
" <th>one</th>\n",
" <th>two</th>\n",
" <th>three</th>\n",
" <th>flag</th>\n",
" </tr>\n",
" </thead>\n",
......@@ -1583,35 +1583,30 @@
" <th>a</th>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>b</th>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>c</th>\n",
" <td>3.0</td>\n",
" <td>9.0</td>\n",
" <td>9.0</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>d</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>x</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
......@@ -1619,15 +1614,15 @@
"</div>"
],
"text/plain": [
" one two three flag\n",
"a 1.0 1.0 1.0 False\n",
"b 2.0 NaN NaN False\n",
"c 3.0 9.0 9.0 True\n",
"d NaN NaN NaN False\n",
"x NaN NaN NaN False"
" one two flag\n",
"a 1.0 1.0 False\n",
"b 2.0 NaN False\n",
"c 3.0 9.0 True\n",
"d NaN NaN False\n",
"x NaN NaN False"
]
},
"execution_count": 16,
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1656,19 +1651,19 @@
},
{
"cell_type": "code",
"execution_count": 62,
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"one 1\n",
"three 1\n",
"flag False\n",
"one 1\n",
"two 1\n",
"flag False\n",
"Name: a, dtype: object"
]
},
"execution_count": 62,
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1679,19 +1674,19 @@
},
{
"cell_type": "code",
"execution_count": 63,
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"one 3\n",
"three 9\n",
"flag True\n",
"one 3\n",
"two 9\n",
"flag True\n",
"Name: c, dtype: object"
]
},
"execution_count": 63,
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1702,7 +1697,7 @@
},
{
"cell_type": "code",
"execution_count": 65,
"execution_count": 63,
"metadata": {},
"outputs": [
{
......@@ -1727,7 +1722,7 @@
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>one</th>\n",
" <th>three</th>\n",
" <th>two</th>\n",
" <th>flag</th>\n",
" </tr>\n",
" </thead>\n",
......@@ -1741,7 +1736,7 @@
" <tr>\n",
" <th>b</th>\n",
" <td>2.0</td>\n",
" <td>4.0</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
......@@ -1749,12 +1744,12 @@
"</div>"
],
"text/plain": [
" one three flag\n",
"a 1.0 1.0 False\n",
"b 2.0 4.0 False"
" one two flag\n",
"a 1.0 1.0 False\n",
"b 2.0 NaN False"
]
},
"execution_count": 65,
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1768,12 +1763,12 @@
"metadata": {},
"source": [
"## 5.4 Ejercicios\n",
"Los siguentes ejercicios de realizann con los dato de *iris.csv *"
"Los siguentes ejercicios de realizann con los dato de *iris.csv*"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 64,
"metadata": {},
"outputs": [
{
......@@ -1858,7 +1853,7 @@
"4 5.0 3.6 1.4 0.2 setosa"
]
},
"execution_count": 2,
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1999,7 +1994,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.1"
"version": "3.5.3"
}
},
"nbformat": 4,
......
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