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106 lines
2.2 KiB
106 lines
2.2 KiB
2 years ago
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "2a759a8e",
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"metadata": {},
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"source": [
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"# Datensatz herunterladen\n",
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"\n",
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"`SETUP_ID` anpassen, Rest läuft automatisch.\n",
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"\n",
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"Einige Datensätze besitzen keinen Eintrag für `flt_obd_speed`. Für eine Liste der Datensätze *mit* diesem Wert kann beispielsweise folgende SQL-Abfrage verwendet werden (Achtung, braucht (prinzipbedingt) sehr lange!):\n",
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"\n",
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"```sql\n",
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"select setup_id s, count(*) n\n",
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"from computeddata\n",
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"group by s\n",
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"having not exists (\n",
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" select *\n",
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" from computeddata\n",
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" where setup_id = s\n",
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" and flt_obd_speed is null)\n",
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"order by n asc\n",
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"```"
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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": 13,
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"id": "bd18001b",
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"metadata": {},
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"outputs": [],
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"source": [
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"SETUP_ID = 868\n",
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"import csv\n",
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"from runsql import runsql\n",
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"\n",
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"reader = runsql('select distinct setup_id from computeddata')\n",
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"reader_data = list(reader) # list(...) so that following cells can be repeated"
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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": 18,
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"id": "dfcd912a",
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"metadata": {},
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"outputs": [],
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"source": [
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"ids = []\n",
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"for i in reader_data:\n",
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" ids.append(int(i['setup_id']))"
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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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"id": "1f8c5b69",
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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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"1122"
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]
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},
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"execution_count": 20,
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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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"len(ids)"
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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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"id": "607eee22",
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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": "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": {
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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": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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