operaciones pandas .ipynb

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   "id": "71431048",
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   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fec16bf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\"Categoria\": ['A', 'A', 'B', 'B', 'C'],\n",
    "                   \"X\": [13, 23, 18, 33, 48],\n",
    "                   \"Y\": [17, 27, 22, 37, 52]})"
   ]
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     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Categoria</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A</td>\n",
       "      <td>23</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B</td>\n",
       "      <td>33</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C</td>\n",
       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "  Categoria   X   Y\n",
       "0         A  13  17\n",
       "1         A  23  27\n",
       "2         B  18  22\n",
       "3         B  33  37\n",
       "4         C  48  52"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d188ddf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['X_1'] = df['X'].shift(1)"
   ]
  },
  {
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   "execution_count": 9,
   "id": "b1ef2dd1",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Categoria</th>\n",
       "      <th>X</th>\n",
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       "      <th>2</th>\n",
       "      <td>B</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
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       "      <th>3</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C</td>\n",
       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "      <td>33.0</td>\n",
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      "text/plain": [
       "  Categoria   X   Y   X_1\n",
       "0         A  13  17   NaN\n",
       "1         A  23  27  13.0\n",
       "2         B  18  22  23.0\n",
       "3         B  33  37  18.0\n",
       "4         C  48  52  33.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cda8f231",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['X_1'] = df.groupby('Categoria')['X'].shift(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "08cd201d",
   "metadata": {},
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Categoria</th>\n",
       "      <th>X</th>\n",
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       "      <th>2</th>\n",
       "      <td>B</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C</td>\n",
       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
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       "  Categoria   X   Y   X_1\n",
       "0         A  13  17   NaN\n",
       "1         A  23  27  13.0\n",
       "2         B  18  22   NaN\n",
       "3         B  33  37  18.0\n",
       "4         C  48  52   NaN"
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     "metadata": {},
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   "source": [
    "df"
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   "execution_count": null,
   "id": "1dcad300",
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