Georg_Brantegger/Python-RV
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adapted some code for new folder structure

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wrote the enrichment_code for oar_id and boat_places
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GeorgBrantegger
2026-04-10 16:29:38 +02:00
parent 999611c254
commit 8c6ff86de1
6 changed files with 369 additions and 284 deletions
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64
Nextcloud_Material/create_Bootsplätze_file.ipynb
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@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": null,
"execution_count": 25,
"id": "f46948ac",
"metadata": {},
"outputs": [],
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 26,
"id": "3a1de802",
"metadata": {},
"outputs": [],
@@ -28,14 +28,22 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 27,
"id": "1fdfef34",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"File loaded successfully!\n"
]
}
],
"source": [
"# read list of boats\n",
"\n",
"FILE_PATH = \"Shared/Ruderverein/Material/Bootsliste.xlsx\"\n",
"FILE_PATH = \"Shared/Ruderverein/01_Material/01_Bootsliste.xlsx\"\n",
"\n",
"# Build the WebDAV URL\n",
"# Note: Path should be URL-encoded if it contains spaces or special characters\n",
@@ -55,7 +63,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 28,
"id": "80f97e18",
"metadata": {},
"outputs": [],
@@ -80,7 +88,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 29,
"id": "70fb2327",
"metadata": {},
"outputs": [],
@@ -90,7 +98,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 30,
"id": "bf18a0fd",
"metadata": {},
"outputs": [],
@@ -99,45 +107,65 @@
"variants = []\n",
"places = []\n",
"\n",
"for boat_name in df['Name'].unique():\n",
" number_seats = df.loc[df['Name']==boat_name,'number_seats'].values[0]\n",
" variable = df.loc[df['Name']==boat_name,'variable'].values[0]\n",
"for boat_name in boats_df['Name'].unique():\n",
" number_seats = boats_df.loc[boats_df['Name']==boat_name,'number_seats'].values[0]\n",
" variable = boats_df.loc[boats_df['Name']==boat_name,'variable'].values[0]\n",
"\n",
" if bool(variable) is False:\n",
" for place in range(1,number_seats+1):\n",
" boat_names.append(boat_name)\n",
" boat_names.append(boat_name.strip())\n",
" variants.append(f\"{number_seats}x\")\n",
" places.append(place)\n",
" elif bool(variable) is True:\n",
" for place in range(1,number_seats+1):\n",
" boat_names.append(boat_name)\n",
" boat_names.append(boat_name.strip())\n",
" variants.append(f\"{number_seats}x\")\n",
" places.append(place)\n",
" for place in range(1,number_seats+1):\n",
" boat_names.append(boat_name)\n",
" boat_names.append(boat_name.strip())\n",
" variants.append(f\"{number_seats}-\")\n",
" places.append(place)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 31,
"id": "85059518",
"metadata": {},
"outputs": [],
"source": [
"data_dict = {'Bootsname':boat_names,'Trimmung':variants,'Bootsplatz':places,'Ruder-ID':[None for _ in boat_names]}\n",
"data_dict = {'Bootsname':boat_names,'Trimmung':variants,'Bootsplatz':places,'Ruder-ID Macon':[None for _ in boat_names],'Ruder-ID Hacke':[None for _ in boat_names]}\n",
"places_df = pd.DataFrame(data_dict)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 55,
"id": "7c4f5c01",
"metadata": {},
"outputs": [],
"source": [
"places_df['sort_value'] = places_df['Bootsname'].str.lower()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "edd22b3f",
"metadata": {},
"outputs": [],
"source": [
"places_df.sort_values(by='sort_value',inplace=True,ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "3071bf52",
"metadata": {},
"outputs": [],
"source": [
"places_df.to_excel('temp.xlsx')"
"places_df[['Bootsname','Trimmung','Bootsplatz','Ruder-ID Macon','Ruder-ID Hacke']].to_excel('temp.xlsx')"
]
}
],