2021-02-02 18:08:07 +01:00
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{
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"cells": [
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{
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"cell_type": "code",
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2021-05-04 17:45:48 +02:00
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"execution_count": 1,
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2021-02-02 18:08:07 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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"import os, sys\n",
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"nb_dir = os.path.split(os.getcwd())[0]\n",
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"if nb_dir not in sys.path:\n",
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" sys.path.append(nb_dir)"
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]
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},
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{
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"cell_type": "code",
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2021-05-04 17:45:48 +02:00
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"execution_count": 2,
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2021-02-02 18:08:07 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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2021-05-04 17:45:48 +02:00
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"from features.screen import *\n",
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"import participants.query_db"
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2021-02-02 18:08:07 +01:00
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]
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},
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{
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"cell_type": "code",
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2021-05-04 17:45:48 +02:00
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"execution_count": 3,
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2021-02-02 18:08:07 +01:00
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"metadata": {},
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"outputs": [],
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"source": [
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2021-05-04 17:45:48 +02:00
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"df_screen_nokia = get_screen_data([\"nokia_0000003\"])"
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2021-02-02 18:08:07 +01:00
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]
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},
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{
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"cell_type": "code",
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2021-05-04 17:45:48 +02:00
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"execution_count": 4,
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2021-02-02 18:08:07 +01:00
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"metadata": {},
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2021-05-04 17:45:48 +02:00
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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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" id _id timestamp device_id \\\n",
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"0 245456 155 1615456297079 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"1 245455 154 1615456297069 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"2 245454 153 1615456288219 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"3 245453 152 1615455357213 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"4 245452 151 1615455357190 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"... ... ... ... ... \n",
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"1911 33221 5 1583329949659 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1912 33171 4 1583327341863 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1913 33170 3 1583327340983 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1914 33169 2 1583327340739 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1915 33168 1 1583327340713 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"\n",
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" screen_status participant_id username \n",
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"0 2 21 nokia_0000003 \n",
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"1 0 21 nokia_0000003 \n",
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"2 1 21 nokia_0000003 \n",
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"3 2 21 nokia_0000003 \n",
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"4 0 21 nokia_0000003 \n",
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"... ... ... ... \n",
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"1911 3 21 nokia_0000003 \n",
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"1912 3 21 nokia_0000003 \n",
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"1913 1 21 nokia_0000003 \n",
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"1914 2 21 nokia_0000003 \n",
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"1915 0 21 nokia_0000003 \n",
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"\n",
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"[1916 rows x 7 columns]\n"
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]
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}
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],
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2021-02-02 18:08:07 +01:00
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"source": [
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2021-05-04 17:45:48 +02:00
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"print(df_screen_nokia)"
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2021-02-02 18:08:07 +01:00
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]
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},
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{
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"cell_type": "code",
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2021-05-04 17:45:48 +02:00
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"execution_count": 5,
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2021-02-02 18:08:07 +01:00
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"metadata": {},
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"outputs": [],
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2021-05-04 17:45:48 +02:00
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"source": [
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"participants_inactive_usernames = participants.query_db.get_usernames()\n",
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"df_screen_inactive = get_screen_data(participants_inactive_usernames)"
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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": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"screen_status\n",
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"0 70243\n",
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"1 70012\n",
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"2 63080\n",
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"3 36666\n",
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"dtype: int64"
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]
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},
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"execution_count": 6,
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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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"df_screen_inactive.value_counts(\"screen_status\")"
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]
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2021-02-02 18:08:07 +01:00
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "straw2analysis",
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"language": "python",
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"name": "straw2analysis"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"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",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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2021-05-04 17:45:48 +02:00
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"version": "3.9.2"
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2021-02-02 18:08:07 +01:00
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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