new_preprocess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6d9802c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Get new prepocess format running"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "95a7772e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from functions import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "74e0c201",
   "metadata": {},
   "outputs": [],
   "source": [
    "models,data, errors=find_data(version='d_easter1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5a3f89ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Realisierter_Stromverbrauch_202402200600_202403020559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402230600_202403050559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402240600_202403060559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402250600_202403070559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402260600_202403080559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402270600_202403090559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402280600_202403100559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202402290600_202403110459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403010600_202403120459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403020600_202403130459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403030600_202403140459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403040600_202403150459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403050600_202403160459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403070600_202403180459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403080600_202403190459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403090600_202403200459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403100600_202403210459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403110500_202403220459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403120500_202403230459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403130500_202403240459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403140500_202403250459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403150500_202403260459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403160500_202403270459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403170500_202403280459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403180500_202403290459_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403210500_202404010559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403220500_202404020559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403230500_202404030559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403240500_202404040559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403250500_202404050559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202403270500_202404070559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202404050600_202404160559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202404060600_202404170559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202404070600_202404180559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202404080600_202404190559_Viertelstunde.csv', 'Realisierter_Stromverbrauch_202404090600_202404200559_Viertelstunde.csv'] [[ 0.00000000e+00  1.00000000e+00  2.00000000e+00  3.00000000e+00\n",
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      "  -6.52669284e-01 -6.61552634e-01 -6.65150603e-01 -6.55469292e-01\n",
      "  -6.61888592e-01 -6.81491894e-01 -6.77529034e-01 -6.71494472e-01\n",
      "  -6.76456165e-01 -6.72717582e-01 -6.77419899e-01 -6.79558195e-01\n",
      "  -6.74724571e-01 -6.66111740e-01 -6.67254231e-01 -6.60982071e-01\n",
      "  -6.68910414e-01 -6.74980158e-01 -6.65531675e-01 -6.59358286e-01\n",
      "  -6.60736243e-01 -6.67485546e-01 -6.55756820e-01 -6.62435421e-01\n",
      "  -6.73771006e-01 -6.61670305e-01 -6.54607326e-01 -6.64229290e-01\n",
      "  -6.64597397e-01 -6.68520326e-01 -6.66595625e-01 -6.60735486e-01\n",
      "  -6.63811591e-01 -6.60554043e-01 -6.44081726e-01 -6.54089378e-01\n",
      "  -6.60044758e-01 -6.34622062e-01 -6.32100025e-01 -6.27431902e-01\n",
      "  -6.25192161e-01 -5.99956315e-01 -5.96963643e-01 -6.04276484e-01\n",
      "  -5.80747637e-01 -5.62628301e-01 -5.44474952e-01 -5.16014721e-01\n",
      "  -5.01805945e-01 -4.98639404e-01 -5.12826380e-01 -5.03038881e-01]]\n"
     ]
    }
   ],
   "source": [
    "print(data,errors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b72717a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_real=pd.read_csv(data[-1],delimiter=';')\n",
    "old_real=pd.read_csv(data[-10],delimiter=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "63fff8c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       VD-DM-Alles.tabellenKopf.columnHeader.date_start  \\\n",
      "count                                              1056   \n",
      "unique                                             1056   \n",
      "top                                    09.04.2024 06:00   \n",
      "freq                                                  1   \n",
      "\n",
      "       VD-DM-Alles.tabellenKopf.columnHeader.date_end  \\\n",
      "count                                            1056   \n",
      "unique                                           1056   \n",
      "top                                  09.04.2024 06:15   \n",
      "freq                                                1   \n",
      "\n",
      "       Gesamt (Netzlast) [MWh] Originalauflösungen  \\\n",
      "count                                         1056   \n",
      "unique                                         894   \n",
      "top                                              -   \n",
      "freq                                           145   \n",
      "\n",
      "       Residuallast [MWh] Originalauflösungen  \\\n",
      "count                                    1056   \n",
      "unique                                    902   \n",
      "top                                         -   \n",
      "freq                                      145   \n",
      "\n",
      "       Pumpspeicher [MWh] Originalauflösungen  \n",
      "count                                    1056  \n",
      "unique                                    761  \n",
      "top                                         -  \n",
      "freq                                       63  \n"
     ]
    }
   ],
   "source": [
    "print(new_real.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bba4e52f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def prepare_input2(df,pump=False,end=False,bad_cut=0.9,zero_time=(2015,1,1,0,0),old=False,str_convert=True,version='y_fraction1',newest=False):\n",
    "    #zero time of model can change later\n",
    "    zero=datetime(zero_time[0],zero_time[1],zero_time[2],zero_time[3],zero_time[4])\n",
    "    #new column names\n",
    "    if old==False and newest==False:\n",
    "        dic2={'Datum':'Date','Anfang':'Time','Gesamt (Netzlast) [MWh] Originalauflösungen':'total_power','Residuallast [MWh] Originalauflösungen':'residual_power','Pumpspeicher [MWh] Originalauflösungen':'pump_storage'}\n",
    "        df.rename(columns=dic2,inplace=True)\n",
    "    if old==False and newest==True:\n",
    "        dic3={'VD-DM-Alles.tabellenKopf.columnHeader.date_start':'date_time','VD-DM-Alles.tabellenKopf.columnHeader.date_end':'date_time_end','Gesamt (Netzlast) [MWh] Originalauflösungen':'total_power','Residuallast [MWh] Originalauflösungen':'residual_power','Pumpspeicher [MWh] Originalauflösungen':'pump_storage'}\n",
    "        df.rename(columns=dic3,inplace=True)        \n",
    "    elif old==True:\n",
    "        dic1={'Datum':'Date','Uhrzeit':'Time','Gesamt (Netzlast)[MWh]':'total_power','Residuallast[MWh]':'residual_power','Pumpspeicher[MWh]':'pump_storage'}\n",
    "        df.rename(columns=dic1,inplace=True)\n",
    "    #drop columns\n",
    "    if end==True:\n",
    "        df.drop(['Ende'], axis=1, inplace=True)\n",
    "    #cpnvert german float to english \n",
    "    if str_convert==True:\n",
    "        df['residual_power'] = df['residual_power'].str.replace('.','')\n",
    "        df['residual_power'] = df['residual_power'].str.replace('-','0')\n",
    "        df['residual_power'] = df['residual_power'].str.replace(',','.').astype(float)/1000.\n",
    "        df['total_power'] = df['total_power'].str.replace('.','')\n",
    "        df['total_power'] = df['total_power'].str.replace('-','0')    \n",
    "        df['total_power'] = df['total_power'].str.replace(',','.').astype(float)/1000.\n",
    "        if pump==True:\n",
    "            df['pump_storage'] = df['pump_storage'].str.replace('.','')\n",
    "            df['pump_storage'] = df['pump_storage'].str.replace(',','.').astype(float)/1000.       \n",
    "    #old not combined date and time         \n",
    "    if newest==False:        \n",
    "        df['date_time']=pd.to_datetime(df['Date'] + '.' + df['Time'], format='%d.%m.%Y.%H:%M')\n",
    "    #new is combined     \n",
    "    else:\n",
    "        df['date_time']=pd.to_datetime(df['date_time'], format='%d.%m.%Y %H:%M')\n",
    "    delta=str(df.loc[0,'date_time']-zero)\n",
    "    #deltam=time.strftime(delta,'%M')\n",
    "    days=delta.split(' days ')\n",
    "    hour=days[1].split(':')\n",
    "    #difference in fraction of days\n",
    "    diff_frac=float(days[0])+float(hour[0])/24+float(hour[1])/24/60\n",
    "    time1=np.zeros((df.shape[0],5))\n",
    "    for i in range(df.shape[0]):\n",
    "        time1[i,0]=diff_frac+i/4/24\n",
    "        time1[i,1]=time1[i,0]%1\n",
    "        time1[i,2]=(time1[i,0]%7)/7\n",
    "        time1[i,3]=(time1[i,0]%365.25)/365.25\n",
    "        time1[i,4]=i/4/24/365.25      \n",
    "    df['frac_day']=time1[:,1]\n",
    "    df['frac_week']=time1[:,2]\n",
    "    df['frac_year']=time1[:,3]\n",
    "    #works at least for full days, later more checks \n",
    "    #helper parameter used below\n",
    "    df['year']=df.date_time.dt.year.astype(int)\n",
    "    df['month']=df.date_time.dt.month.astype(int)\n",
    "    #days from easter of this year\n",
    "    df['delta_easter']=0\n",
    "    #days from first march of the year, gest holidayts right given leap years\n",
    "    df['delta_march']=0\n",
    "    #works at least for full days, later more checks \n",
    "    for i in range(df.shape[0]):\n",
    "        df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
    "        if df.month.iloc[i]<2.5:\n",
    "            df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i]-1,3,1)).days\n",
    "        else:\n",
    "            df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days            \n",
    "    #exclude what is zero at the end\n",
    "    c=0\n",
    "    while df.loc[df.shape[0]+c-1,'total_power']==0:\n",
    "        c-=1\n",
    "    #interpolate linear bad value (only exatcly 0 for now) which are not at the beginning or end \n",
    "    for i in range(1,df.shape[0]+c-2):\n",
    "        if df.loc[i,'total_power']==0:\n",
    "            df.loc[i,'total_power']=(df.loc[i-1,'total_power']+df.loc[i+1,'total_power'])/2    \n",
    "    #return of the the needed columns in the right order, and dleta when last is likely bad\n",
    "    delta=0                   \n",
    "    if df.loc[df.shape[0]+c-1,'total_power']/df.loc[df.shape[0]+c-2,'total_power']<bad_cut:\n",
    "        delta=-1\n",
    "    #return needed output, order matters    \n",
    "    if version=='y_fraction1':    \n",
    "        return df.loc[:df.shape[0]+c-1+delta,['total_power','frac_day', 'frac_week', 'frac_year','date_time']]\n",
    "    elif version=='d_easter1':    \n",
    "        return df.loc[:df.shape[0]+c-1+delta,['frac_day','frac_week','delta_easter','total_power','date_time']] \n",
    "    elif version=='d_march1':    \n",
    "        return df.loc[:df.shape[0]+c-1+delta,['frac_day','frac_week','delta_march','total_power','date_time']]    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "83bc7684",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10034/459313801.py:19: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/tmp/ipykernel_10034/459313801.py:22: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/tmp/ipykernel_10034/459313801.py:60: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/tmp/ipykernel_10034/459313801.py:64: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    }
   ],
   "source": [
    "new_in=prepare_input2(new_real,newest=True,str_convert=True,version='d_easter1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c927ff46",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10034/459313801.py:60: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/tmp/ipykernel_10034/459313801.py:64: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for /: 'str' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m old_in\u001b[38;5;241m=\u001b[39m\u001b[43mprepare_input2\u001b[49m\u001b[43m(\u001b[49m\u001b[43mold_real\u001b[49m\u001b[43m,\u001b[49m\u001b[43mnewest\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43mversion\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43md_easter1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mstr_convert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[9], line 75\u001b[0m, in \u001b[0;36mprepare_input2\u001b[0;34m(df, pump, end, bad_cut, zero_time, old, str_convert, version, newest)\u001b[0m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;66;03m#return of the the needed columns in the right order, and dleta when last is likely bad\u001b[39;00m\n\u001b[1;32m     74\u001b[0m delta\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m                   \n\u001b[0;32m---> 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshape\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43mc\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtotal_power\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshape\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43mc\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtotal_power\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m<\u001b[39mbad_cut:\n\u001b[1;32m     76\u001b[0m     delta\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m     77\u001b[0m \u001b[38;5;66;03m#return needed output, order matters    \u001b[39;00m\n",
      "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'str' and 'str'"
     ]
    }
   ],
   "source": [
    "old_in=prepare_input2(old_real,newest=True,version='d_easter1',str_convert=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "76dae10f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         frac_day   frac_week  delta_easter  total_power\n",
      "count  911.000000  911.000000    911.000000   911.000000\n",
      "mean     0.494523    0.533560     13.495060    13.137472\n",
      "std      0.283099    0.320870      2.759146     2.068361\n",
      "min      0.000000    0.000000      9.000000     8.926500\n",
      "25%      0.260417    0.232887     11.000000    11.242750\n",
      "50%      0.489583    0.571429     13.000000    13.626000\n",
      "75%      0.729167    0.829613     16.000000    14.963750\n",
      "max      0.989583    0.998512     18.000000    16.649500\n"
     ]
    }
   ],
   "source": [
    "print(new_in.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c9a168e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now hidden parameters for d_easter1 model \n",
    "#parameter, version of models, whetehr process is printed, whether error is used in Figure\n",
    "def pipeline_v3b(version='d_easter1',silent=True,plot_error=False,mode='quadratic1',newest=True,old=False):\n",
    "    #get model and data file lists\n",
    "    if version=='y_fraction1':\n",
    "        models,data=find_data(version=version)\n",
    "        #create dummy errors to simplyfy prediction below\n",
    "        errors=np.zeros((3,len(models)))\n",
    "        #create non zero error to avoid error problem\n",
    "        errors[1]=1.\n",
    "    if version=='d_easter1':\n",
    "        models,data,errors=find_data(version=version)   \n",
    "    #also error/offset file if exist    \n",
    "    #last in list is newest \n",
    "    new_real=pd.read_csv(data[-1],delimiter=';')\n",
    "    power_newest=prepare_input2(new_real,newest=newest,old=old,version=version,str_convert=True)\n",
    "    #apply prediction\n",
    "    prediction_newest,y,mo,d,h,mi=predict_from_now(power_newest.loc[power_newest.shape[0]-3:power_newest.shape[0],:],models[:],errors,silent=silent,version=version)\n",
    "    #clean prediction\n",
    "    prediction_newest=clean_prediction(prediction_newest,y,mo,d,h,mi,silent=silent,mode=mode,version=version)\n",
    "    #plot prediction\n",
    "    plot_prediction(power_newest.iloc[:,:],prediction_newest,plot_error=plot_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2b0e59a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10034/459313801.py:19: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/tmp/ipykernel_10034/459313801.py:22: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/tmp/ipykernel_10034/459313801.py:60: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/tmp/ipykernel_10034/459313801.py:64: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline_v3b()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91aa6831",
   "metadata": {},
   "source": [
    "## Checking the pipepiline in different versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "09a38793",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline(newest=True,old=False,version='y_fraction1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "706da951",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline(newest=True,old=False,version='y_fraction1',mode='quadratic1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4d5a691d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline(newest=True,old=False,version='d_easter1',mode='quadratic1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ba6976d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline(newest=True,old=False,version='d_march1',mode='quadratic1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "483676d6",
   "metadata": {},
   "source": [
    "Look good in general.\n",
    "Now the versions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e4bb9b7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline_v2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "63092764",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:525: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['residual_power'] = df['residual_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:528: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  df['total_power'] = df['total_power'].str.replace('.','')\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:566: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_easter'].iloc[i]=(df['date_time'].iloc[i]-pd.to_datetime(easter(df.year.iloc[i]))).days\n",
      "/home/tobias/ml-testing/energy/energy-timeseries/functions.py:570: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['delta_march'].iloc[i]=(df['date_time'].iloc[i]-datetime(df['year'].iloc[i],3,1)).days\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline_v3()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "782f9e5d",
   "metadata": {},
   "source": [
    "Identical as above as it should be. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}