Skip to content

tap1012
tap1012
Commit 25604c55 authored by Alejandro Molina Villegas's avatar Alejandro Molina Villegas
Browse files
Options

visto pandas en clase

parent 83f4fa57
Show whitespace changes
Inline Side-by-side
Showing with 67 additions and 32 deletions
05-NumPy&Pandas.ipynb
View file @ 25604c55
......@@ -1221,7 +1221,7 @@
},
{
"cell_type": "code",
"execution_count": 51,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
......@@ -1231,17 +1231,17 @@
},
{
"cell_type": "code",
"execution_count": 52,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"d = {'one': pd.Series([1., 2., 3.], index=['a', 'b', 'c']),\n",
" 'two': pd.Series([1., 2., 3., 4.], index=['a', 'b', 'c', 'd'])}"
" 'two': pd.Series([1., 2., 3., 4.], index=['a', 'x', 'c', 'd'])}"
]
},
{
"cell_type": "code",
"execution_count": 53,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
......@@ -1250,7 +1250,7 @@
},
{
"cell_type": "code",
"execution_count": 54,
"execution_count": 7,
"metadata": {},
"outputs": [
{
......@@ -1287,7 +1287,7 @@
" <tr>\n",
" <th>b</th>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>c</th>\n",
......@@ -1299,6 +1299,11 @@
" <td>NaN</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>x</th>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
......@@ -1306,12 +1311,13 @@
"text/plain": [
" one two\n",
"a 1.0 1.0\n",
"b 2.0 2.0\n",
"b 2.0 NaN\n",
"c 3.0 3.0\n",
"d NaN 4.0"
"d NaN 4.0\n",
"x NaN 2.0"
]
},
"execution_count": 54,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1329,7 +1335,7 @@
},
{
"cell_type": "code",
"execution_count": 55,
"execution_count": 10,
"metadata": {},
"outputs": [
{
......@@ -1339,10 +1345,11 @@
"b 2.0\n",
"c 3.0\n",
"d NaN\n",
"x NaN\n",
"Name: one, dtype: float64"
]
},
"execution_count": 55,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1353,7 +1360,7 @@
},
{
"cell_type": "code",
"execution_count": 56,
"execution_count": 11,
"metadata": {},
"outputs": [
{
......@@ -1394,8 +1401,8 @@
" <tr>\n",
" <th>b</th>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>4.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
......@@ -1412,6 +1419,13 @@
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>x</th>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
......@@ -1419,12 +1433,13 @@
"text/plain": [
" one two three flag\n",
"a 1.0 1.0 1.0 False\n",
"b 2.0 2.0 4.0 False\n",
"b 2.0 NaN NaN False\n",
"c 3.0 3.0 9.0 True\n",
"d NaN 4.0 NaN False"
"d NaN 4.0 NaN False\n",
"x NaN 2.0 NaN False"
]
},
"execution_count": 56,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1437,7 +1452,7 @@
},
{
"cell_type": "code",
"execution_count": 57,
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
......@@ -1446,7 +1461,7 @@
},
{
"cell_type": "code",
"execution_count": 58,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
......@@ -1455,7 +1470,7 @@
},
{
"cell_type": "code",
"execution_count": 59,
"execution_count": 14,
"metadata": {},
"outputs": [
{
......@@ -1504,6 +1519,11 @@
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>x</th>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
......@@ -1513,10 +1533,11 @@
"a 1.0 False\n",
"b 2.0 False\n",
"c 3.0 True\n",
"d NaN False"
"d NaN False\n",
"x NaN False"
]
},
"execution_count": 59,
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1527,7 +1548,7 @@
},
{
"cell_type": "code",
"execution_count": 60,
"execution_count": 16,
"metadata": {},
"outputs": [
{
......@@ -1552,6 +1573,7 @@
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>one</th>\n",
" <th>two</th>\n",
" <th>three</th>\n",
" <th>flag</th>\n",
" </tr>\n",
......@@ -1561,24 +1583,35 @@
" <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>4.0</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",
......@@ -1586,20 +1619,22 @@
"</div>"
],
"text/plain": [
" one three flag\n",
"a 1.0 1.0 False\n",
"b 2.0 4.0 False\n",
"c 3.0 9.0 True\n",
"d NaN NaN False"
" 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"
]
},
"execution_count": 60,
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.insert(1, \"three\", three)\n",
"# inserta la columna three en la posición 1 bajo el nombre two\n",
"df.insert(1, \"two\", three)\n",
"df"
]
},
......@@ -1964,7 +1999,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.3"
"version": "3.7.1"
}
},
"nbformat": 4,
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment