Cleaned up some folders and small Walmart template changes.
This commit is contained in:
Norm Rasmussen
@ -7,7 +7,7 @@
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<script>
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document.addEventListener("DOMContentLoaded", () => {
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const btn = document.querySelector('.event-status');
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const btn = document.querySelector('.np-training-session-cta-note');
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if (btn) {
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const eventId = btn.getAttribute('data-event-id');
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@ -11,7 +11,7 @@
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{% for course in courses.in_catalog %}
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{% for category in course.categories %}
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{% if available_categories contains category.name %}
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<script> console.log("{{ course.name }} + {{ category.name }}")</script>
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{% comment %} <script> console.log("{{ course.name }} + {{ category.name }}")</script> {% endcomment %}
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{% unless uniq_cats contains category.name %}
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<a class="category-card" id="{{category.name}}" href="/app/catalog?filter[category_uuid][in][]={{category.id}}&search_terms=">
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<img class="category-card-image" src="" alt="">
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@ -19,15 +19,18 @@
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{% for course in courses.enrolled %}
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{% assign countTotal = countTotal | plus: 1 %}
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{% if course.progress == 100 %}
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<script> console.log('{{ course.name }}--{{ course.progress}}') </script>
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{% assign countComplete = countComplete | plus: 1 %}
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{% endif %}
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{% if course.progress > 0 and course.progress < 100 %}
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<script> console.log('{{ course.name }}--{{ course.progress}}') </script>
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{% assign countInProgress = countInProgress | plus: 1 %}
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{% endif %}
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{% if course.progress == 0 %}
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{% assign countNotStarted = countNotStarted | plus: 1 %}
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{% endif %}
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{% endfor %}
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<script> console.log('{{ countTotal }}')</script>
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<ul class="progress-circle-list">
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<li>
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{%
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@ -6,3 +6,17 @@
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</main>
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{% include "footer" %}
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<script>
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$(document).ready(function() {
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if(document.querySelector('[class="sc-cjbZfG loiSUP Transcript_Caption"]').innerHTML.includes('Transcript for')) {
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document.querySelector('[class="sc-cjbZfG loiSUP Transcript_Caption"]').innerHTML = "<h3 class='sc-cjbZfG loiSUP Transcript_Caption'>Transcript</h3>";
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}
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});
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</script>
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<style>
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.Transcript_Caption {
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color: white;
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}
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</style>
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BIN
Scripts/.DS_Store
vendored
BIN
Scripts/.DS_Store
vendored
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BIN
Scripts/API_Tests/Chubb_MCA.csv.gz
Normal file
BIN
Scripts/API_Tests/Chubb_MCA.csv.gz
Normal file
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@ -1,269 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "3bc892c3",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"hello world\n"
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]
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}
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],
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"source": [
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"print(\"hello world\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "725bdfc5",
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"metadata": {},
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"source": [
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"This is a markdown tile. Testing. this."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "89eea5d5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>OrgID</th>\n",
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" <th>Organization</th>\n",
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" <th>Churn Date</th>\n",
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" <th>2022-01</th>\n",
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" <th>2022-02</th>\n",
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" <th>2022-03</th>\n",
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" <th>2022-04</th>\n",
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" <th>2022-05</th>\n",
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" <th>2022-06</th>\n",
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" <th>2022-07</th>\n",
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" <th>2022-08</th>\n",
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" <th>2022-09</th>\n",
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" <th>2022-10</th>\n",
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" <th>2022-11</th>\n",
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" <th>2022-12</th>\n",
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" <th>2023-01</th>\n",
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" <th>2023-02</th>\n",
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" <th>2023-03</th>\n",
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" <th>2023-04</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>30867753</td>\n",
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" <td>Aquent</td>\n",
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" <td>2023-04</td>\n",
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" <td>58</td>\n",
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" <td>38</td>\n",
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" <td>50</td>\n",
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" <td>50</td>\n",
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" <td>39</td>\n",
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" <td>36</td>\n",
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" <td>46</td>\n",
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" <td>46</td>\n",
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" <td>43.0</td>\n",
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" <td>27.0</td>\n",
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" <td>24.0</td>\n",
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" <td>26</td>\n",
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" <td>22</td>\n",
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" <td>8.0</td>\n",
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" <td>10.0</td>\n",
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" <td>2.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>33375202</td>\n",
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" <td>BioLife Solutions, Inc.</td>\n",
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" <td>2023-04</td>\n",
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" <td>11</td>\n",
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" <td>7</td>\n",
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" <td>4</td>\n",
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" <td>11</td>\n",
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" <td>4</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>30867495</td>\n",
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" <td>ZyXel Communications Inc</td>\n",
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" <td>2023-04</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>4</td>\n",
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" <td>2</td>\n",
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" <td>2</td>\n",
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" <td>1.0</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>1.0</td>\n",
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" <td>1.0</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>32999202</td>\n",
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" <td>BrightLine Eating Solutions LLC</td>\n",
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" <td>2023-03</td>\n",
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" <td>10,362</td>\n",
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" <td>7,890</td>\n",
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" <td>7,272</td>\n",
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" <td>8,177</td>\n",
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" <td>8,468</td>\n",
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" <td>7,524</td>\n",
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" <td>8,509</td>\n",
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" <td>5,638</td>\n",
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" <td>581.0</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>30867752</td>\n",
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" <td>Casio America Inc</td>\n",
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" <td>2023-03</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>1</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" OrgID Organization Churn Date 2022-01 2022-02 \n",
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"0 30867753 Aquent 2023-04 58 38 \\\n",
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"1 33375202 BioLife Solutions, Inc. 2023-04 11 7 \n",
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||||
"2 30867495 ZyXel Communications Inc 2023-04 1 1 \n",
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||||
"3 32999202 BrightLine Eating Solutions LLC 2023-03 10,362 7,890 \n",
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"4 30867752 Casio America Inc 2023-03 NaN NaN \n",
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"\n",
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||||
" 2022-03 2022-04 2022-05 2022-06 2022-07 2022-08 2022-09 2022-10 2022-11 \n",
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"0 50 50 39 36 46 46 43.0 27.0 24.0 \\\n",
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"1 4 11 4 NaN NaN NaN NaN NaN NaN \n",
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"2 2 1 2 4 2 2 1.0 NaN NaN \n",
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||||
"3 7,272 8,177 8,468 7,524 8,509 5,638 581.0 NaN NaN \n",
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"4 NaN NaN NaN 1 NaN NaN NaN NaN NaN \n",
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"\n",
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" 2022-12 2023-01 2023-02 2023-03 2023-04 \n",
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"0 26 22 8.0 10.0 2.0 \n",
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"1 NaN NaN NaN NaN NaN \n",
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"2 NaN NaN 1.0 1.0 NaN \n",
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"3 NaN NaN NaN NaN NaN \n",
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"4 NaN NaN NaN NaN NaN "
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]
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},
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"execution_count": 3,
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"metadata": {},
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||||
"output_type": "execute_result"
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}
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],
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"source": [
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||||
"import pandas as pd\n",
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"import sketch\n",
|
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"cd = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")\n",
|
||||
"cd.head()"
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]
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||||
},
|
||||
{
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||||
"cell_type": "code",
|
||||
"execution_count": 4,
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||||
"id": "b7cf96bb",
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||||
"metadata": {},
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||||
"outputs": [],
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"source": [
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||||
"# Replace all NaN values with 0\n",
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"cd.fillna(0, inplace=True)\n",
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||||
"\n",
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||||
"# Remove all commas from strings\n",
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"cd.replace(',','', regex=True, inplace=True)\n",
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"\n",
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||||
"# Convert all strings after the column 'Churn Data' to integers\n",
|
||||
"for col in cd.columns[4:]:\n",
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||||
" cd[col] = cd[col].astype(int)\n",
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||||
"\n",
|
||||
"cd.drop(columns=['OrgID'], inplace=True)"
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||||
]
|
||||
}
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||||
],
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"metadata": {
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||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
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"language": "python",
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||||
"name": "python3"
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||||
},
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||||
"language_info": {
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||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
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||||
},
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||||
"file_extension": ".py",
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"mimetype": "text/x-python",
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||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.1"
|
||||
}
|
||||
},
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||||
"nbformat": 4,
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||||
"nbformat_minor": 5
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}
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File diff suppressed because it is too large
Load Diff
@ -1,25 +0,0 @@
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||||
"Evaluate: Implementation Training 1 - Configuration and Setting","b2f38d8e-9262-4b30-8674-3c1e6a79bf54"
|
||||
"Evaluate: Implementation Training 2 - Establish and Launch Evaluations","aa7d84cb-d2c6-475a-961e-19233ed01b40"
|
||||
"Evaluate: Implementation Training 3 - User Experience","45e3aeba-3923-46f7-853a-a9317692339a"
|
||||
"Evaluate: Implementation Training 4 - Reporting","55841904-8c6a-4676-a43f-b5cdd360973e"
|
||||
"Evaluate: New Feature Releases","c19a3ced-d66b-4524-bc96-7a7aa7443151"
|
||||
"Evaluate: The Mailing Center","6d20dd98-99d1-4659-83d8-2354e096b90e"
|
||||
"Evaluate: New Faculty Training","7edfe3cf-db22-4476-9791-8fe066680733"
|
||||
"Evaluate: Site Administrator Transition","8f743b2c-d32e-462a-8a55-0c4e7bcf24f4"
|
||||
"Evaluate: The Student Experience","27a3dd65-409e-4983-a2de-4269d3b490e3"
|
||||
"Raise: System Administration - Customizing Entities, Fields, and Relationships Training Manual","b8ce96a5-f895-4d5f-ad50-4e92912998c4"
|
||||
"Raise: System Administration - Data Import and Export Training Manual","ddf88f38-2956-444e-a68b-62f8df0627d9"
|
||||
"Raise: System Administration -DocumentsCorePack Installation and Configuration","ef457ac9-3bf7-415f-87cd-edf86adef14d"
|
||||
"Raise: System Administration - Duplication Detection and Merging Records Training Manual","f9856c21-0b45-4b4d-b7f5-73b9477394f0"
|
||||
"Reach: 2.2 Release Notes - Winter 2021","7010bfb3-121e-4c8a-b988-03f24c684068"
|
||||
"Reach: 2.3 Release Notes - Spring 2021","7304dbb8-481b-4c1f-bb0e-779417d4ea23"
|
||||
"Reach: 3.0 Release Notes - Summer 2021","bbd5bb1f-b3bf-45a2-a047-c4ee93af18f8"
|
||||
"Reach: 3.1 Release Notes - Fall 2021","73a4386a-6783-4425-9d80-f1da41da83fc"
|
||||
"Reach: 3.2 Release Notes - Winter 2022","66e4c297-2645-4e2f-94cb-92faaa5e74b4"
|
||||
"Reach: 3.3 Ask A Product Manager - Spring 2022","7fdc8e90-7e0c-4f63-afeb-72c26df1d528"
|
||||
"Reach: 3.4 Release Notes - Summer 2022","5913d308-8ebc-41ef-aeab-3e0c7e6c07bf"
|
||||
"Reach: 3.5 Release Notes - Fall 2022","17be26aa-0c84-4a4e-9fa1-33110843b5d4"
|
||||
"Reach: 3.6 Release Notes - Winter 2023","15af1c44-b4b3-49db-af6f-9b5960e4bf9e"
|
||||
"Reach: 4.0 Release Notes - Spring 2023","9bedb4d9-f8fd-4617-abbb-8c85db7c070f"
|
||||
"Student: Configuring Area of Study","76f4497b-e288-4413-9345-49a6df163363"
|
||||
"Student: Configuring Transfer Credit Statuses","aa39386f-140e-4268-951e-716faa1a7ebd"
|
||||
|
30
Scripts/API_Tests/get_analytics_extracts.py
Normal file
30
Scripts/API_Tests/get_analytics_extracts.py
Normal file
@ -0,0 +1,30 @@
|
||||
import requests
|
||||
from urllib.request import urlretrieve
|
||||
|
||||
# Test for Chubb
|
||||
APIKEY = "RFzu130s451F2eKgm45Ck7gyWZMvGToR6Lmf2k5V"
|
||||
EXTRACT = "47156f3d-277a-4c98-b2ba-732ae364270c"
|
||||
FILEID = "cpxFPY"
|
||||
HEADERS = {
|
||||
"accept": "application/json",
|
||||
"x-api-key": APIKEY
|
||||
}
|
||||
|
||||
def get_latest_extract():
|
||||
url = f"https://analytics.northpass.io/extracts/{EXTRACT}/files/latest"
|
||||
resp = requests.get(url, headers=HEADERS)
|
||||
print(resp.text)
|
||||
data = resp.json()
|
||||
print(data)
|
||||
|
||||
def get_info_and_download():
|
||||
url = f"https://analytics.northpass.io/extracts/{EXTRACT}/files/{FILEID}/download"
|
||||
resp = requests.get(url, headers=HEADERS)
|
||||
data = resp.json()
|
||||
print(data['url'])
|
||||
urlretrieve(data['url'], 'Chubb_MCA.csv.gz')
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
get_info_and_download()
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -1,27 +0,0 @@
|
||||
from collections import Counter
|
||||
import pandas as pd
|
||||
|
||||
basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/G2_Unenroll/skuid_05lp.csv"
|
||||
|
||||
def mainFunc(basecsv):
|
||||
readData = pd.read_csv(
|
||||
basecsv,
|
||||
index_col=False,
|
||||
)
|
||||
parsedData = readData.drop_duplicates(subset='Course_Name', keep="first")
|
||||
if parsedData.loc[readData['Course Name'].isin([
|
||||
'Get Started with Models - Level 1',
|
||||
'Configure Model Fields - Level 1',
|
||||
'Configure Model Conditions - Level 1',
|
||||
'Configure Model Actions - Level 1',
|
||||
'Manage Models - Level 1',
|
||||
'Intro to UI Only Fields - Level 1'])]:
|
||||
extractedList = readData.loc[readData['Email'].tolist()
|
||||
fourOccs = Counter(extractedList)
|
||||
finalNames = []
|
||||
for name, occurences in fourOccs.items():
|
||||
if occurences == 6:
|
||||
finalNames.append(name)
|
||||
|
||||
if __name__ == "__main__":
|
||||
mainFunc(basecsv)
|
||||
File diff suppressed because one or more lines are too long
@ -1,992 +0,0 @@
|
||||
{
|
||||
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|
||||
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|
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|
||||
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|
||||
"id": "59e7fd1c-b4a6-40b6-9d14-b471cabcdcc5",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import sketch\n",
|
||||
"import pandas as pd\n",
|
||||
"import os\n",
|
||||
"\n",
|
||||
"os.environ['SKETCH_MAX_COLUMNS'] = '40'"
|
||||
]
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"cust_data = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
||||
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|
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|
||||
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|
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|
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|
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||||
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|
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
" OrgID Organization Churn Date 2022-01 2022-02 \n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" Organization 2022-01 2022-02 2022-03 2022-04 2022-05 \n",
|
||||
"0 Aquent 58 38 50 50 39 \\\n",
|
||||
"1 BioLife Solutions, Inc. 11 7 4 11 4 \n",
|
||||
"2 ZyXel Communications Inc 1 1 2 1 2 \n",
|
||||
"3 BrightLine Eating Solutions LLC 10362 7890 7272 8177 8468 \n",
|
||||
"4 Casio America Inc 0 0 0 0 0 \n",
|
||||
"\n",
|
||||
" 2022-06 2022-07 2022-08 2022-09 2022-10 2022-11 2022-12 2023-01 2023-02 \n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"# Remove the OrgID and Churn Date columns\n",
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" <th>2022-03</th>\n",
|
||||
" <th>2022-04</th>\n",
|
||||
" <th>2022-05</th>\n",
|
||||
" <th>2022-06</th>\n",
|
||||
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|
||||
" <th>2022-08</th>\n",
|
||||
" <th>2022-09</th>\n",
|
||||
" <th>2022-10</th>\n",
|
||||
" <th>2022-11</th>\n",
|
||||
" <th>2022-12</th>\n",
|
||||
" <th>2023-01</th>\n",
|
||||
" <th>2023-02</th>\n",
|
||||
" <th>2023-03</th>\n",
|
||||
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|
||||
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|
||||
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|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>Aquent</td>\n",
|
||||
" <td>58</td>\n",
|
||||
" <td>38</td>\n",
|
||||
" <td>50</td>\n",
|
||||
" <td>50</td>\n",
|
||||
" <td>39</td>\n",
|
||||
" <td>36</td>\n",
|
||||
" <td>46</td>\n",
|
||||
" <td>46</td>\n",
|
||||
" <td>43.0</td>\n",
|
||||
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|
||||
" <td>24.0</td>\n",
|
||||
" <td>26</td>\n",
|
||||
" <td>22</td>\n",
|
||||
" <td>8.0</td>\n",
|
||||
" <td>10.0</td>\n",
|
||||
" <td>2.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>BioLife Solutions, Inc.</td>\n",
|
||||
" <td>11</td>\n",
|
||||
" <td>7</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>11</td>\n",
|
||||
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|
||||
" <td>0</td>\n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" <td>0.0</td>\n",
|
||||
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|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>ZyXel Communications Inc</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>BrightLine Eating Solutions LLC</td>\n",
|
||||
" <td>10362</td>\n",
|
||||
" <td>7890</td>\n",
|
||||
" <td>7272</td>\n",
|
||||
" <td>8177</td>\n",
|
||||
" <td>8468</td>\n",
|
||||
" <td>7524</td>\n",
|
||||
" <td>8509</td>\n",
|
||||
" <td>5638</td>\n",
|
||||
" <td>581.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>Casio America Inc</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
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|
||||
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|
||||
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|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>5</th>\n",
|
||||
" <td>Riviera Partners LLC</td>\n",
|
||||
" <td>81</td>\n",
|
||||
" <td>19</td>\n",
|
||||
" <td>51</td>\n",
|
||||
" <td>26</td>\n",
|
||||
" <td>26</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" <td>79</td>\n",
|
||||
" <td>68</td>\n",
|
||||
" <td>35.0</td>\n",
|
||||
" <td>23.0</td>\n",
|
||||
" <td>33.0</td>\n",
|
||||
" <td>25</td>\n",
|
||||
" <td>75</td>\n",
|
||||
" <td>71.0</td>\n",
|
||||
" <td>29.0</td>\n",
|
||||
" <td>4.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>6</th>\n",
|
||||
" <td>Viveve</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>19</td>\n",
|
||||
" <td>3</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>7</th>\n",
|
||||
" <td>connectRN Inc.</td>\n",
|
||||
" <td>386</td>\n",
|
||||
" <td>378</td>\n",
|
||||
" <td>396</td>\n",
|
||||
" <td>732</td>\n",
|
||||
" <td>947</td>\n",
|
||||
" <td>762</td>\n",
|
||||
" <td>1203</td>\n",
|
||||
" <td>889</td>\n",
|
||||
" <td>438.0</td>\n",
|
||||
" <td>178.0</td>\n",
|
||||
" <td>115.0</td>\n",
|
||||
" <td>214</td>\n",
|
||||
" <td>92</td>\n",
|
||||
" <td>165.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8</th>\n",
|
||||
" <td>Hammer Nutrition</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>7</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9</th>\n",
|
||||
" <td>National Campus and Community Radio Association</td>\n",
|
||||
" <td>63</td>\n",
|
||||
" <td>15</td>\n",
|
||||
" <td>10</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>8</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>3</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>4.0</td>\n",
|
||||
" <td>4.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" <td>2.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10</th>\n",
|
||||
" <td>Portnoy, Messinger, Pearl & Associates, Inc.</td>\n",
|
||||
" <td>28</td>\n",
|
||||
" <td>27</td>\n",
|
||||
" <td>79</td>\n",
|
||||
" <td>17</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>3</td>\n",
|
||||
" <td>8</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>11</th>\n",
|
||||
" <td>Safari Energy</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>37</td>\n",
|
||||
" <td>19</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>38</td>\n",
|
||||
" <td>24</td>\n",
|
||||
" <td>6</td>\n",
|
||||
" <td>21.0</td>\n",
|
||||
" <td>35.0</td>\n",
|
||||
" <td>10.0</td>\n",
|
||||
" <td>7</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>12</th>\n",
|
||||
" <td>Starwood Pet Travel</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>22</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>7</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>2.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>13</th>\n",
|
||||
" <td>Trax Technology Solutions Pte Ltd</td>\n",
|
||||
" <td>381</td>\n",
|
||||
" <td>677</td>\n",
|
||||
" <td>583</td>\n",
|
||||
" <td>671</td>\n",
|
||||
" <td>515</td>\n",
|
||||
" <td>380</td>\n",
|
||||
" <td>181</td>\n",
|
||||
" <td>449</td>\n",
|
||||
" <td>12.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>14</th>\n",
|
||||
" <td>Uber London Limited (POOL)</td>\n",
|
||||
" <td>721</td>\n",
|
||||
" <td>775</td>\n",
|
||||
" <td>825</td>\n",
|
||||
" <td>606</td>\n",
|
||||
" <td>578</td>\n",
|
||||
" <td>501</td>\n",
|
||||
" <td>497</td>\n",
|
||||
" <td>543</td>\n",
|
||||
" <td>628.0</td>\n",
|
||||
" <td>505.0</td>\n",
|
||||
" <td>650.0</td>\n",
|
||||
" <td>1,270</td>\n",
|
||||
" <td>1,957</td>\n",
|
||||
" <td>190.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
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|
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/_libs/properties.pyx:69\u001b[0m, in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[0;34m()\u001b[0m\n",
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"File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/generic.py:730\u001b[0m, in \u001b[0;36mNDFrame._set_axis\u001b[0;34m(self, axis, labels)\u001b[0m\n\u001b[1;32m 725\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 726\u001b[0m \u001b[38;5;124;03mThis is called from the cython code when we set the `index` attribute\u001b[39;00m\n\u001b[1;32m 727\u001b[0m \u001b[38;5;124;03mdirectly, e.g. `series.index = [1, 2, 3]`.\u001b[39;00m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 729\u001b[0m labels \u001b[38;5;241m=\u001b[39m ensure_index(labels)\n\u001b[0;32m--> 730\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_item_cache()\n",
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"File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/internals/base.py:70\u001b[0m, in \u001b[0;36mDataManager._validate_set_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m 67\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m new_len \u001b[38;5;241m!=\u001b[39m old_len:\n\u001b[0;32m---> 70\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 71\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength mismatch: Expected axis has \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mold_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements, new \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 72\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalues have \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnew_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 73\u001b[0m )\n",
|
||||
"\u001b[0;31mValueError\u001b[0m: Length mismatch: Expected axis has 17 elements, new values have 15 elements"
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|
||||
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|
||||
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|
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|
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|
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|
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
" <td>/media</td>\n",
|
||||
" <td>129</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>...</th>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>118</th>\n",
|
||||
" <td>Lighthouse by LJ Hooker Group</td>\n",
|
||||
" <td>cb56a39f-b6a1-4c0a-893f-9e0e93fe6c24</td>\n",
|
||||
" <td>7ccf4a79-c896-4865-95e4-dfe134119943</td>\n",
|
||||
" <td>/instructor_led_trainings</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>119</th>\n",
|
||||
" <td>Mark43 University</td>\n",
|
||||
" <td>85e2acae-6a0b-4f1c-a3e1-dd113218321d</td>\n",
|
||||
" <td>ea5c9708-73f9-4905-a759-7b68d0128206</td>\n",
|
||||
" <td>/courses</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>120</th>\n",
|
||||
" <td>Mizuno Academy</td>\n",
|
||||
" <td>f61cd40c-6cbf-41b3-a797-78b923137c23</td>\n",
|
||||
" <td>b99abead-4af0-487d-b8a4-d77b2c8dded4</td>\n",
|
||||
" <td>/communications/emails/broadcast</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>121</th>\n",
|
||||
" <td>Capstone Scholars Program</td>\n",
|
||||
" <td>66f38581-27d9-4d9d-8134-edd09c87940a</td>\n",
|
||||
" <td>abbe2201-8500-4067-aeaf-73fa99824784</td>\n",
|
||||
" <td>/people</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>122</th>\n",
|
||||
" <td>Garrett Virtual Academy</td>\n",
|
||||
" <td>4f211014-bf83-4c8d-8779-d743777ca8cf</td>\n",
|
||||
" <td>26370510-3f8a-4d3a-9808-3d7ba2388e97</td>\n",
|
||||
" <td>/people/invite</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>123 rows × 5 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" academy academy_id \n",
|
||||
"0 Compass Academy dc62bd23-e093-49ff-9f85-b8e3d6dc9e34 \\\n",
|
||||
"1 CHEK Institute c2adf18f-9247-403f-9914-f9ce7d412d17 \n",
|
||||
"2 GenTech Associates Academy d38a8181-f864-40cd-91da-b47b05f8bf69 \n",
|
||||
"3 CTAA's School e79c2971-f7dd-4f7b-93b3-c3192c00824f \n",
|
||||
"4 Solo Internal Training 72047a94-38c4-460e-90e2-2a3df5096852 \n",
|
||||
".. ... ... \n",
|
||||
"118 Lighthouse by LJ Hooker Group cb56a39f-b6a1-4c0a-893f-9e0e93fe6c24 \n",
|
||||
"119 Mark43 University 85e2acae-6a0b-4f1c-a3e1-dd113218321d \n",
|
||||
"120 Mizuno Academy f61cd40c-6cbf-41b3-a797-78b923137c23 \n",
|
||||
"121 Capstone Scholars Program 66f38581-27d9-4d9d-8134-edd09c87940a \n",
|
||||
"122 Garrett Virtual Academy 4f211014-bf83-4c8d-8779-d743777ca8cf \n",
|
||||
"\n",
|
||||
" org_id path \n",
|
||||
"0 49efbc2d-004a-4130-819a-2f5cdd59413f /people \\\n",
|
||||
"1 4d7e5559-a90f-4c1c-9de7-88d4495ae76a /people \n",
|
||||
"2 8fe4e045-0882-4a7d-a695-1477f1aa32d7 /people \n",
|
||||
"3 677b83a3-20d8-4073-9cfb-6a28c6d53b92 /people \n",
|
||||
"4 c05d6a25-cc80-447a-9b85-7b222ad9e4fd /media \n",
|
||||
".. ... ... \n",
|
||||
"118 7ccf4a79-c896-4865-95e4-dfe134119943 /instructor_led_trainings \n",
|
||||
"119 ea5c9708-73f9-4905-a759-7b68d0128206 /courses \n",
|
||||
"120 b99abead-4af0-487d-b8a4-d77b2c8dded4 /communications/emails/broadcast \n",
|
||||
"121 abbe2201-8500-4067-aeaf-73fa99824784 /people \n",
|
||||
"122 26370510-3f8a-4d3a-9808-3d7ba2388e97 /people/invite \n",
|
||||
"\n",
|
||||
" apr_week \n",
|
||||
"0 356 \n",
|
||||
"1 288 \n",
|
||||
"2 137 \n",
|
||||
"3 136 \n",
|
||||
"4 129 \n",
|
||||
".. ... \n",
|
||||
"118 32 \n",
|
||||
"119 32 \n",
|
||||
"120 32 \n",
|
||||
"121 32 \n",
|
||||
"122 32 \n",
|
||||
"\n",
|
||||
"[123 rows x 5 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"pageviews = pageviews.rename(columns={\n",
|
||||
" 'School Name':'academy',\n",
|
||||
" 'School Uuid':'academy_id',\n",
|
||||
" 'Customer Id':'org_id',\n",
|
||||
" 'Path':'path',\n",
|
||||
" 'Apr 7 - 13': 'apr_week',\n",
|
||||
"})\n",
|
||||
"pageviews.head(123)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# pageviews.apr_week = pageviews.apr_week.astype(int)\n",
|
||||
"# pageviews.academy_id = pageviews.academy_id.astype('category').cat.codes\n",
|
||||
"# pageviews.org_id = pageviews.org_id.astype('category').cat.codes\n",
|
||||
"# pageviews['academy']=pageviews['academy'].astype('category').cat.codes\n",
|
||||
"# pageviews['path']=pageviews['path'].astype('category').cat.codes\n",
|
||||
"# pageviews.plot(kind='scatter', x='apr_week', y='path')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th>apr_week</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>academy</th>\n",
|
||||
" <th>path</th>\n",
|
||||
" <th></th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th rowspan=\"2\" valign=\"top\">Vivvix University for Ad Intel</th>\n",
|
||||
" <th>/account_links</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/courses</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th rowspan=\"8\" valign=\"top\">'@properties Academy</th>\n",
|
||||
" <th>/account_links</th>\n",
|
||||
" <td>8</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/courses</th>\n",
|
||||
" <td>11</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups</th>\n",
|
||||
" <td>4</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/courses</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships</th>\n",
|
||||
" <td>8</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships/new</th>\n",
|
||||
" <td>3</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/instructor_led_trainings</th>\n",
|
||||
" <td>11</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" apr_week\n",
|
||||
"academy path \n",
|
||||
" Vivvix University for Ad Intel /account_links 1\n",
|
||||
" /courses 1\n",
|
||||
"'@properties Academy /account_links 8\n",
|
||||
" /courses 11\n",
|
||||
" /groups 4\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/co... 1\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit 1\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me... 8\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me... 3\n",
|
||||
" /instructor_led_trainings 11"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"#pageviews = pageviews.groupby(['academy', 'path']).agg({'apr_week':'sum'})\n",
|
||||
"#pageviews.head(10)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th>apr_week</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>academy</th>\n",
|
||||
" <th>path</th>\n",
|
||||
" <th></th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th rowspan=\"2\" valign=\"top\">Vivvix University for Ad Intel</th>\n",
|
||||
" <th>/account_links</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/courses</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th rowspan=\"8\" valign=\"top\">'@properties Academy</th>\n",
|
||||
" <th>/account_links</th>\n",
|
||||
" <td>8</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/courses</th>\n",
|
||||
" <td>11</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups</th>\n",
|
||||
" <td>4</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/courses</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships</th>\n",
|
||||
" <td>8</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships/new</th>\n",
|
||||
" <td>3</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>/instructor_led_trainings</th>\n",
|
||||
" <td>11</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" apr_week\n",
|
||||
"academy path \n",
|
||||
" Vivvix University for Ad Intel /account_links 1\n",
|
||||
" /courses 1\n",
|
||||
"'@properties Academy /account_links 8\n",
|
||||
" /courses 11\n",
|
||||
" /groups 4\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/co... 1\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit 1\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me... 8\n",
|
||||
" /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me... 3\n",
|
||||
" /instructor_led_trainings 11"
|
||||
]
|
||||
},
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"pageviews.reset_index\n",
|
||||
"pageviews.head(10)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"0 True\n",
|
||||
"1 True\n",
|
||||
"2 True\n",
|
||||
"3 True\n",
|
||||
"4 False\n",
|
||||
" ... \n",
|
||||
"13861 True\n",
|
||||
"13862 True\n",
|
||||
"13863 False\n",
|
||||
"13864 False\n",
|
||||
"13865 False\n",
|
||||
"Name: path, Length: 13866, dtype: bool"
|
||||
]
|
||||
},
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"startswith_list = ('/courses', '/people', 'learning_paths', '/instructor_led_trainings', '/preview', '/groups', '/account_links')\n",
|
||||
"#for root in startswith_list:\n",
|
||||
"# pageviews.path.str.startswith(root, na=False)\n",
|
||||
" #pageviews['root'] = pageviews.path.apply(lambda x: root if pageviews.path.str.startswith(root, na=False) else 'None')\n",
|
||||
"\n",
|
||||
"pageviews.path.str.startswith(startswith_list)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "jupyter",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.1"
|
||||
},
|
||||
"orig_nbformat": 4
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user