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{ | |
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"metadata": { | |
"colab": { | |
"provenance": [], | |
"name": "id.event.sequence.ipynb", | |
"include_colab_link": true | |
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"name": "python3", | |
"display_name": "Python 3" | |
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"language_info": { | |
"name": "python" | |
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"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
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"source": [ | |
"<a href=\"https://colab.research.google.com/gist/rwcitek/91221ee7e0a6319cdb0a686b7af8c341/id.event.sequence.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"import pandas as pd\n" | |
], | |
"metadata": { | |
"id": "oU7_ggwGZYQw" | |
}, | |
"execution_count": null, | |
"outputs": [] | |
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{ | |
"cell_type": "code", | |
"source": [ | |
"# Sample Pandas DataFrame\n", | |
"data = {'Seq': [1, 2, 3, 4, 5, 6, 7],\n", | |
" 'ID': [1, 1, 3, 3, 3, 2, 2 ],\n", | |
" 'count': [1, 3, 5, 7, 5, 4, 3]}\n", | |
"df = pd.DataFrame(data)\n", | |
"df\n" | |
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"height": 269 | |
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"outputId": "2a0057f6-d74e-4c06-d473-77c81a226d2b" | |
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{ | |
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"data": { | |
"text/plain": [ | |
" Seq ID count\n", | |
"0 1 1 1\n", | |
"1 2 1 3\n", | |
"2 3 3 5\n", | |
"3 4 3 7\n", | |
"4 5 3 5\n", | |
"5 6 2 4\n", | |
"6 7 2 3" | |
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" <tr style=\"text-align: right;\">\n", | |
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"type": "dataframe", | |
"variable_name": "df", | |
"summary": "{\n \"name\": \"df\",\n \"rows\": 7,\n \"fields\": [\n {\n \"column\": \"Seq\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2,\n \"min\": 1,\n \"max\": 7,\n \"num_unique_values\": 7,\n \"samples\": [\n 1,\n 2,\n 6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ID\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 3,\n \"num_unique_values\": 3,\n \"samples\": [\n 1,\n 3,\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 7,\n \"num_unique_values\": 5,\n \"samples\": [\n 3,\n 4,\n 5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" | |
} | |
}, | |
"metadata": {}, | |
"execution_count": 9 | |
} | |
] | |
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{ | |
"cell_type": "code", | |
"source": [ | |
"# Using groupby() and cumcount()\n", | |
"df['ID_seq'] = df.sort_values(by=['ID', 'Seq']).groupby('ID').cumcount() + 1\n", | |
"df" | |
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" Seq ID count ID_seq\n", | |
"0 1 1 1 1\n", | |
"1 2 1 3 2\n", | |
"2 3 3 5 1\n", | |
"3 4 3 7 2\n", | |
"4 5 3 5 3\n", | |
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" <th>6</th>\n", | |
" <td>7</td>\n", | |
" <td>2</td>\n", | |
" <td>3</td>\n", | |
" <td>2</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>\n", | |
" <div class=\"colab-df-buttons\">\n", | |
"\n", | |
" <div class=\"colab-df-container\">\n", | |
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d456b8ff-a23e-45f8-bee6-e1e6e706366b')\"\n", | |
" title=\"Convert this dataframe to an interactive table.\"\n", | |
" style=\"display:none;\">\n", | |
"\n", | |
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n", | |
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n", | |
" </svg>\n", | |
" </button>\n", | |
"\n", | |
" <style>\n", | |
" .colab-df-container {\n", | |
" display:flex;\n", | |
" gap: 12px;\n", | |
" }\n", | |
"\n", | |
" .colab-df-convert {\n", | |
" background-color: #E8F0FE;\n", | |
" border: none;\n", | |
" border-radius: 50%;\n", | |
" cursor: pointer;\n", | |
" display: none;\n", | |
" fill: #1967D2;\n", | |
" height: 32px;\n", | |
" padding: 0 0 0 0;\n", | |
" width: 32px;\n", | |
" }\n", | |
"\n", | |
" .colab-df-convert:hover {\n", | |
" background-color: #E2EBFA;\n", | |
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n", | |
" fill: #174EA6;\n", | |
" }\n", | |
"\n", | |
" .colab-df-buttons div {\n", | |
" margin-bottom: 4px;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-convert {\n", | |
" background-color: #3B4455;\n", | |
" fill: #D2E3FC;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-convert:hover {\n", | |
" background-color: #434B5C;\n", | |
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n", | |
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n", | |
" fill: #FFFFFF;\n", | |
" }\n", | |
" </style>\n", | |
"\n", | |
" <script>\n", | |
" const buttonEl =\n", | |
" document.querySelector('#df-d456b8ff-a23e-45f8-bee6-e1e6e706366b button.colab-df-convert');\n", | |
" buttonEl.style.display =\n", | |
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n", | |
"\n", | |
" async function convertToInteractive(key) {\n", | |
" const element = document.querySelector('#df-d456b8ff-a23e-45f8-bee6-e1e6e706366b');\n", | |
" const dataTable =\n", | |
" await google.colab.kernel.invokeFunction('convertToInteractive',\n", | |
" [key], {});\n", | |
" if (!dataTable) return;\n", | |
"\n", | |
" const docLinkHtml = 'Like what you see? Visit the ' +\n", | |
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n", | |
" + ' to learn more about interactive tables.';\n", | |
" element.innerHTML = '';\n", | |
" dataTable['output_type'] = 'display_data';\n", | |
" await google.colab.output.renderOutput(dataTable, element);\n", | |
" const docLink = document.createElement('div');\n", | |
" docLink.innerHTML = docLinkHtml;\n", | |
" element.appendChild(docLink);\n", | |
" }\n", | |
" </script>\n", | |
" </div>\n", | |
"\n", | |
"\n", | |
"<div id=\"df-f33d519e-b57b-4b26-a859-226a9bd3fad9\">\n", | |
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f33d519e-b57b-4b26-a859-226a9bd3fad9')\"\n", | |
" title=\"Suggest charts\"\n", | |
" style=\"display:none;\">\n", | |
"\n", | |
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n", | |
" width=\"24px\">\n", | |
" <g>\n", | |
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n", | |
" </g>\n", | |
"</svg>\n", | |
" </button>\n", | |
"\n", | |
"<style>\n", | |
" .colab-df-quickchart {\n", | |
" --bg-color: #E8F0FE;\n", | |
" --fill-color: #1967D2;\n", | |
" --hover-bg-color: #E2EBFA;\n", | |
" --hover-fill-color: #174EA6;\n", | |
" --disabled-fill-color: #AAA;\n", | |
" --disabled-bg-color: #DDD;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-quickchart {\n", | |
" --bg-color: #3B4455;\n", | |
" --fill-color: #D2E3FC;\n", | |
" --hover-bg-color: #434B5C;\n", | |
" --hover-fill-color: #FFFFFF;\n", | |
" --disabled-bg-color: #3B4455;\n", | |
" --disabled-fill-color: #666;\n", | |
" }\n", | |
"\n", | |
" .colab-df-quickchart {\n", | |
" background-color: var(--bg-color);\n", | |
" border: none;\n", | |
" border-radius: 50%;\n", | |
" cursor: pointer;\n", | |
" display: none;\n", | |
" fill: var(--fill-color);\n", | |
" height: 32px;\n", | |
" padding: 0;\n", | |
" width: 32px;\n", | |
" }\n", | |
"\n", | |
" .colab-df-quickchart:hover {\n", | |
" background-color: var(--hover-bg-color);\n", | |
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n", | |
" fill: var(--button-hover-fill-color);\n", | |
" }\n", | |
"\n", | |
" .colab-df-quickchart-complete:disabled,\n", | |
" .colab-df-quickchart-complete:disabled:hover {\n", | |
" background-color: var(--disabled-bg-color);\n", | |
" fill: var(--disabled-fill-color);\n", | |
" box-shadow: none;\n", | |
" }\n", | |
"\n", | |
" .colab-df-spinner {\n", | |
" border: 2px solid var(--fill-color);\n", | |
" border-color: transparent;\n", | |
" border-bottom-color: var(--fill-color);\n", | |
" animation:\n", | |
" spin 1s steps(1) infinite;\n", | |
" }\n", | |
"\n", | |
" @keyframes spin {\n", | |
" 0% {\n", | |
" border-color: transparent;\n", | |
" border-bottom-color: var(--fill-color);\n", | |
" border-left-color: var(--fill-color);\n", | |
" }\n", | |
" 20% {\n", | |
" border-color: transparent;\n", | |
" border-left-color: var(--fill-color);\n", | |
" border-top-color: var(--fill-color);\n", | |
" }\n", | |
" 30% {\n", | |
" border-color: transparent;\n", | |
" border-left-color: var(--fill-color);\n", | |
" border-top-color: var(--fill-color);\n", | |
" border-right-color: var(--fill-color);\n", | |
" }\n", | |
" 40% {\n", | |
" border-color: transparent;\n", | |
" border-right-color: var(--fill-color);\n", | |
" border-top-color: var(--fill-color);\n", | |
" }\n", | |
" 60% {\n", | |
" border-color: transparent;\n", | |
" border-right-color: var(--fill-color);\n", | |
" }\n", | |
" 80% {\n", | |
" border-color: transparent;\n", | |
" border-right-color: var(--fill-color);\n", | |
" border-bottom-color: var(--fill-color);\n", | |
" }\n", | |
" 90% {\n", | |
" border-color: transparent;\n", | |
" border-bottom-color: var(--fill-color);\n", | |
" }\n", | |
" }\n", | |
"</style>\n", | |
"\n", | |
" <script>\n", | |
" async function quickchart(key) {\n", | |
" const quickchartButtonEl =\n", | |
" document.querySelector('#' + key + ' button');\n", | |
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n", | |
" quickchartButtonEl.classList.add('colab-df-spinner');\n", | |
" try {\n", | |
" const charts = await google.colab.kernel.invokeFunction(\n", | |
" 'suggestCharts', [key], {});\n", | |
" } catch (error) {\n", | |
" console.error('Error during call to suggestCharts:', error);\n", | |
" }\n", | |
" quickchartButtonEl.classList.remove('colab-df-spinner');\n", | |
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n", | |
" }\n", | |
" (() => {\n", | |
" let quickchartButtonEl =\n", | |
" document.querySelector('#df-f33d519e-b57b-4b26-a859-226a9bd3fad9 button');\n", | |
" quickchartButtonEl.style.display =\n", | |
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n", | |
" })();\n", | |
" </script>\n", | |
"</div>\n", | |
"\n", | |
" <div id=\"id_cb16d068-990f-4982-b4d9-d9d6d71edd0a\">\n", | |
" <style>\n", | |
" .colab-df-generate {\n", | |
" background-color: #E8F0FE;\n", | |
" border: none;\n", | |
" border-radius: 50%;\n", | |
" cursor: pointer;\n", | |
" display: none;\n", | |
" fill: #1967D2;\n", | |
" height: 32px;\n", | |
" padding: 0 0 0 0;\n", | |
" width: 32px;\n", | |
" }\n", | |
"\n", | |
" .colab-df-generate:hover {\n", | |
" background-color: #E2EBFA;\n", | |
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n", | |
" fill: #174EA6;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-generate {\n", | |
" background-color: #3B4455;\n", | |
" fill: #D2E3FC;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-generate:hover {\n", | |
" background-color: #434B5C;\n", | |
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n", | |
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n", | |
" fill: #FFFFFF;\n", | |
" }\n", | |
" </style>\n", | |
" <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n", | |
" title=\"Generate code using this dataframe.\"\n", | |
" style=\"display:none;\">\n", | |
"\n", | |
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n", | |
" width=\"24px\">\n", | |
" <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n", | |
" </svg>\n", | |
" </button>\n", | |
" <script>\n", | |
" (() => {\n", | |
" const buttonEl =\n", | |
" document.querySelector('#id_cb16d068-990f-4982-b4d9-d9d6d71edd0a button.colab-df-generate');\n", | |
" buttonEl.style.display =\n", | |
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n", | |
"\n", | |
" buttonEl.onclick = () => {\n", | |
" google.colab.notebook.generateWithVariable('df');\n", | |
" }\n", | |
" })();\n", | |
" </script>\n", | |
" </div>\n", | |
"\n", | |
" </div>\n", | |
" </div>\n" | |
], | |
"application/vnd.google.colaboratory.intrinsic+json": { | |
"type": "dataframe", | |
"variable_name": "df", | |
"summary": "{\n \"name\": \"df\",\n \"rows\": 7,\n \"fields\": [\n {\n \"column\": \"Seq\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2,\n \"min\": 1,\n \"max\": 7,\n \"num_unique_values\": 7,\n \"samples\": [\n 1,\n 2,\n 6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ID\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 3,\n \"num_unique_values\": 3,\n \"samples\": [\n 1,\n 3,\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 7,\n \"num_unique_values\": 5,\n \"samples\": [\n 3,\n 4,\n 5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ID_seq\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 3,\n \"num_unique_values\": 3,\n \"samples\": [\n 1,\n 2,\n 3\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" | |
} | |
}, | |
"metadata": {}, | |
"execution_count": 10 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [], | |
"metadata": { | |
"id": "rtU2zn6kZowC" | |
}, | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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