81 lines
1.7 KiB
Plaintext
81 lines
1.7 KiB
Plaintext
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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": 11,
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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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"execution_count": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"from config.models import Participant, Screen\n",
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"from setup import db_engine, session"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"query_screen = (\n",
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" session.query(Screen, Participant.username)\n",
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" .filter(Participant.id == Screen.participant_id)\n",
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" .filter(Participant.username.in_([\"nokia_0000003\"]))\n",
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" )\n",
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"with db_engine.connect() as connection:\n",
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" df_screen = pd.read_sql(query_screen.statement, connection)"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(df_screen)"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": []
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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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"version": "3.9.1"
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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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