Upload control_chart_test.ipynb

control_chart_test.ipynb

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-{"cells":[{"cell_type":"raw","metadata":{},"source":["---\n","title: Gráficos de proceso\n","description: Se requiere cargar un archivo con la data y otro con los límites\n","show-code: False\n","params:\n","    select_area:\n","        label: Seleccione el nombre del área\n","        input: select\n","        value: Bioenergia\n","        choices: ['Bioenergia', 'Blanqueo SF1', 'Blanqueo SF2',\n","       'Caldera Biomasa SF1', 'Caldera Biomasa SF2',\n","       'Caldera Recuperadora 2', 'Caldera Recuperadora SF1',\n","       'Caldera Recuperadora SF2', 'Causitificacion y Horno SF2',\n","       'Caustificacion SF1', 'Caustificacion SF2', 'Clasificacion',\n","       'Coccion SF1', 'Coccion SF2', 'Compresores SF1', 'Compresores SF2',\n","       'Efluentes', 'Erco', 'Erco R10', 'Evaporadores SF1',\n","       'Evaporadores SF2', 'Horno de Cal SF1', 'Horno de Cal SF2',\n","       'Lavado SF1', 'Lavado SF2', 'Lavado y Blanqueo SF2', 'Maderas',\n","       'Maquina SF1', 'Maquina SF2', 'Planta', 'Planta de agua',\n","       'Planta de Agua', 'Planta demi SF1', 'Planta demi SF2',\n","       'Secado SF1', 'Secado SF2', 'TG1', 'TG2', 'TG3', 'TG4']\n","        multi: False\n","    filename1:\n","        label: Ingrese archivo con los datos\n","        input: file\n","        maxFileSize: 100MB\n","    filename2:\n","        label: Ingrese archivo con los límites\n","        input: file\n","        maxFileSize: 100MB\n","\n","---"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["select_area = select_area\n","#select_area = \"Caldera Recuperadora SF1\"\n","\n","filename1   = filename1\n","#filename1   = \"15_dias.xlsx\"\n","\n","filename2   = filename2\n","#filename2   = \"SDCA Google Sheet.xlsx\""]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: openpyxl in c:\\users\\oquilodran\\anaconda3\\lib\\site-packages (3.0.9)\n","Requirement already satisfied: et-xmlfile in c:\\users\\oquilodran\\anaconda3\\lib\\site-packages (from openpyxl) (1.1.0)\n"]},{"name":"stderr","output_type":"stream","text":["WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n"]}],"source":["#!pip install openpyxl"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":1793,"status":"ok","timestamp":1674579356775,"user":{"displayName":"Carlos Sandoval Ormeño","userId":"08254748332068667609"},"user_tz":180},"id":"OvnKztF5hBlh"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import pickle\n","import warnings\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from scipy.stats import norm\n","\n","warnings.filterwarnings(\"ignore\")"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[],"source":["#%load_ext watermark"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["sys       : 3.9.12 (main, Apr  4 2022, 05:22:27) [MSC v.1916 64 bit (AMD64)]\n","matplotlib: 3.5.1\n","pandas    : 1.4.2\n","seaborn   : 0.11.2\n","numpy     : 1.21.5\n","\n"]}],"source":["#%watermark --iversions "]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["openpyxl                      3.0.9\n"]},{"name":"stderr","output_type":"stream","text":["WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n","WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\oquilodran\\anaconda3\\lib\\site-packages)\n"]}],"source":["#!pip3 list | findstr openpyxl"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sIiZd8tijLAm"},"outputs":[],"source":["# Conexión y carga de datos"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ydai0pFWjM2T"},"outputs":[],"source":["#Conectarse a google drive para cargar datos\n","#from google.colab import drive\n","#drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"bpV5VAuR6Klh"},"outputs":[],"source":["## Archivo 1: Datos\n","\n","#Posee todos los datos en un periodo de tiempo definido. Primera fila debe ser el nombre de la Variable"]},{"cell_type":"code","execution_count":27,"metadata":{"id":"wnkX8PRujP-m"},"outputs":[{"data":{"text/plain":["(1153, 692)"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["#path data googledrive\n","path_data_processed = filename1\n","\n","#leer data processed\n","data_processed = pd.read_excel(path_data_processed,sheet_name='15_dias')\n","data_processed.shape"]},{"cell_type":"code","execution_count":28,"metadata":{"id":"yB55dhn5j2zB"},"outputs":[],"source":["data = data_processed.copy()"]},{"cell_type":"code","execution_count":29,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Fecha</th>\n","      <th>TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2</th>\n","      <th>TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2</th>\n","      <th>TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2</th>\n","      <th>TEMPERATURA SALA RACK 1</th>\n","      <th>TEMPERATURA SALA MEDIO TENSION 2</th>\n","      <th>TEMPERATURA SALA MEDIO TENSION 3</th>\n","      <th>Desviación estandar kappa L1</th>\n","      <th>Soda Caustica Blanqueo L1 SF1</th>\n","      <th>Oxigeno Blanqueo L1 SF1</th>\n","      <th>...</th>\n","      <th>Generación TG4</th>\n","      <th>Traspaso vapor alta presion</th>\n","      <th>Flujo condensado de vapor 2</th>\n","      <th>Flujo condensado de vapor 1</th>\n","      <th>Potencia Media AGA SF2</th>\n","      <th>Potencia Media AMSA SF1</th>\n","      <th>Potencia Media SF1+AMSA</th>\n","      <th>Potencia Media SF2+AGA</th>\n","      <th>Generación TG2</th>\n","      <th>Solidos alimentados Evap SF2</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2023-01-02 00:00:00</td>\n","      <td>22.380388</td>\n","      <td>22.280931</td>\n","      <td>22.333216</td>\n","      <td>22.086191</td>\n","      <td>22.149839</td>\n","      <td>22.045614</td>\n","      <td>0.231715</td>\n","      <td>8.086400</td>\n","      <td>1.217000</td>\n","      <td>...</td>\n","      <td>45.800533</td>\n","      <td>-16.403118</td>\n","      <td>55.111847</td>\n","      <td>1.320719</td>\n","      <td>3596.615723</td>\n","      <td>238.051071</td>\n","      <td>28787.296875</td>\n","      <td>-10226.526367</td>\n","      <td>44.311375</td>\n","      <td>15.029305</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2023-01-02 00:30:00</td>\n","      <td>22.380516</td>\n","      <td>22.281185</td>\n","      <td>22.332581</td>\n","      <td>22.086889</td>\n","      <td>22.149967</td>\n","      <td>22.046375</td>\n","      <td>0.275171</td>\n","      <td>8.045627</td>\n","      <td>1.140499</td>\n","      <td>...</td>\n","      <td>47.174568</td>\n","      <td>-25.001226</td>\n","      <td>54.472202</td>\n","      <td>1.295107</td>\n","      <td>3626.050293</td>\n","      <td>238.147842</td>\n","      <td>28451.166016</td>\n","      <td>-12912.736328</td>\n","      <td>44.399441</td>\n","      <td>15.029305</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2023-01-02 01:00:00</td>\n","      <td>22.380642</td>\n","      <td>22.281439</td>\n","      <td>22.331945</td>\n","      <td>22.087587</td>\n","      <td>22.150095</td>\n","      <td>22.047138</td>\n","      <td>0.275171</td>\n","      <td>8.060355</td>\n","      <td>1.103316</td>\n","      <td>...</td>\n","      <td>41.501835</td>\n","      <td>-32.346756</td>\n","      <td>54.868324</td>\n","      <td>1.320784</td>\n","      <td>3760.971191</td>\n","      <td>235.034882</td>\n","      <td>28733.126953</td>\n","      <td>-10815.240234</td>\n","      <td>44.359051</td>\n","      <td>15.301791</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2023-01-02 01:30:00</td>\n","      <td>22.38077</td>\n","      <td>22.281693</td>\n","      <td>22.33131</td>\n","      <td>22.088285</td>\n","      <td>22.150221</td>\n","      <td>22.047899</td>\n","      <td>0.275171</td>\n","      <td>8.340420</td>\n","      <td>1.223614</td>\n","      <td>...</td>\n","      <td>50.031181</td>\n","      <td>-11.782591</td>\n","      <td>55.122517</td>\n","      <td>1.340983</td>\n","      <td>3732.642334</td>\n","      <td>243.157639</td>\n","      <td>28331.724609</td>\n","      <td>-13846.183594</td>\n","      <td>44.499325</td>\n","      <td>15.301791</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2023-01-02 02:00:00</td>\n","      <td>22.380896</td>\n","      <td>22.281946</td>\n","      <td>22.330677</td>\n","      <td>22.088984</td>\n","      <td>22.150349</td>\n","      <td>22.048662</td>\n","      <td>0.275171</td>\n","      <td>8.446277</td>\n","      <td>1.248739</td>\n","      <td>...</td>\n","      <td>42.183971</td>\n","      <td>-37.520939</td>\n","      <td>59.148407</td>\n","      <td>1.364929</td>\n","      <td>3719.249023</td>\n","      <td>238.37941</td>\n","      <td>28454.082031</td>\n","      <td>-12041.871094</td>\n","      <td>44.042847</td>\n","      <td>15.301791</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1148</th>\n","      <td>2023-01-25 22:00:00</td>\n","      <td>20.509975</td>\n","      <td>20.69157</td>\n","      <td>20.480833</td>\n","      <td>20.200678</td>\n","      <td>20.314024</td>\n","      <td>20.057224</td>\n","      <td>0.400087</td>\n","      <td>9.184175</td>\n","      <td>1.327102</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>-6.052447</td>\n","      <td>58.167320</td>\n","      <td>1.659870</td>\n","      <td>3779.910156</td>\n","      <td>431.451935</td>\n","      <td>29560.935547</td>\n","      <td>-3510.351562</td>\n","      <td>43.572365</td>\n","      <td>15.575074</td>\n","    </tr>\n","    <tr>\n","      <th>1149</th>\n","      <td>2023-01-25 22:30:00</td>\n","      <td>20.509588</td>\n","      <td>20.69138</td>\n","      <td>20.480579</td>\n","      <td>20.200933</td>\n","      <td>20.313135</td>\n","      <td>20.054491</td>\n","      <td>0.400087</td>\n","      <td>8.738999</td>\n","      <td>1.282202</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>-6.071373</td>\n","      <td>59.485466</td>\n","      <td>1.659870</td>\n","      <td>3745.52002</td>\n","      <td>450.862396</td>\n","      <td>30219.025391</td>\n","      <td>-5982.137207</td>\n","      <td>43.621933</td>\n","      <td>15.575074</td>\n","    </tr>\n","    <tr>\n","      <th>1150</th>\n","      <td>2023-01-25 23:00:00</td>\n","      <td>20.509201</td>\n","      <td>20.691189</td>\n","      <td>20.480326</td>\n","      <td>20.201187</td>\n","      <td>20.312244</td>\n","      <td>20.053791</td>\n","      <td>0.400087</td>\n","      <td>8.750358</td>\n","      <td>1.234370</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>-6.266962</td>\n","      <td>59.564442</td>\n","      <td>1.659870</td>\n","      <td>3743.449463</td>\n","      <td>342.854919</td>\n","      <td>29341.095703</td>\n","      <td>-8177.477539</td>\n","      <td>43.528225</td>\n","      <td>15.849157</td>\n","    </tr>\n","    <tr>\n","      <th>1151</th>\n","      <td>2023-01-25 23:30:00</td>\n","      <td>20.508814</td>\n","      <td>20.690998</td>\n","      <td>20.48007</td>\n","      <td>20.201443</td>\n","      <td>20.31152</td>\n","      <td>20.053093</td>\n","      <td>0.400087</td>\n","      <td>8.998313</td>\n","      <td>1.248112</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>-6.236718</td>\n","      <td>59.191444</td>\n","      <td>1.659870</td>\n","      <td>3582.329834</td>\n","      <td>421.524902</td>\n","      <td>30061.484375</td>\n","      <td>-7916.760254</td>\n","      <td>43.369431</td>\n","      <td>15.849157</td>\n","    </tr>\n","    <tr>\n","      <th>1152</th>\n","      <td>2023-01-26 00:00:00</td>\n","      <td>20.508425</td>\n","      <td>20.690807</td>\n","      <td>20.479816</td>\n","      <td>20.201696</td>\n","      <td>20.311775</td>\n","      <td>20.052395</td>\n","      <td>0.311225</td>\n","      <td>8.629993</td>\n","      <td>1.102960</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>-6.123524</td>\n","      <td>57.916817</td>\n","      <td>1.561509</td>\n","      <td>3582.556152</td>\n","      <td>381.4758</td>\n","      <td>29213.257812</td>\n","      <td>-3081.311035</td>\n","      <td>43.577621</td>\n","      <td>15.849157</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1153 rows × 692 columns</p>\n","</div>"],"text/plain":["                   Fecha TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2  \\\n","0    2023-01-02 00:00:00                                    22.380388   \n","1    2023-01-02 00:30:00                                    22.380516   \n","2    2023-01-02 01:00:00                                    22.380642   \n","3    2023-01-02 01:30:00                                     22.38077   \n","4    2023-01-02 02:00:00                                    22.380896   \n","...                  ...                                          ...   \n","1148 2023-01-25 22:00:00                                    20.509975   \n","1149 2023-01-25 22:30:00                                    20.509588   \n","1150 2023-01-25 23:00:00                                    20.509201   \n","1151 2023-01-25 23:30:00                                    20.508814   \n","1152 2023-01-26 00:00:00                                    20.508425   \n","\n","     TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2  \\\n","0                                          22.280931   \n","1                                          22.281185   \n","2                                          22.281439   \n","3                                          22.281693   \n","4                                          22.281946   \n","...                                              ...   \n","1148                                        20.69157   \n","1149                                        20.69138   \n","1150                                       20.691189   \n","1151                                       20.690998   \n","1152                                       20.690807   \n","\n","     TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2 TEMPERATURA SALA RACK 1  \\\n","0                                          22.333216               22.086191   \n","1                                          22.332581               22.086889   \n","2                                          22.331945               22.087587   \n","3                                           22.33131               22.088285   \n","4                                          22.330677               22.088984   \n","...                                              ...                     ...   \n","1148                                       20.480833               20.200678   \n","1149                                       20.480579               20.200933   \n","1150                                       20.480326               20.201187   \n","1151                                        20.48007               20.201443   \n","1152                                       20.479816               20.201696   \n","\n","     TEMPERATURA SALA MEDIO TENSION 2 TEMPERATURA SALA MEDIO TENSION 3  \\\n","0                           22.149839                        22.045614   \n","1                           22.149967                        22.046375   \n","2                           22.150095                        22.047138   \n","3                           22.150221                        22.047899   \n","4                           22.150349                        22.048662   \n","...                               ...                              ...   \n","1148                        20.314024                        20.057224   \n","1149                        20.313135                        20.054491   \n","1150                        20.312244                        20.053791   \n","1151                         20.31152                        20.053093   \n","1152                        20.311775                        20.052395   \n","\n","      Desviación estandar kappa L1  Soda Caustica Blanqueo L1 SF1  \\\n","0                         0.231715                       8.086400   \n","1                         0.275171                       8.045627   \n","2                         0.275171                       8.060355   \n","3                         0.275171                       8.340420   \n","4                         0.275171                       8.446277   \n","...                            ...                            ...   \n","1148                      0.400087                       9.184175   \n","1149                      0.400087                       8.738999   \n","1150                      0.400087                       8.750358   \n","1151                      0.400087                       8.998313   \n","1152                      0.311225                       8.629993   \n","\n","      Oxigeno Blanqueo L1 SF1  ...  Generación TG4  \\\n","0                    1.217000  ...       45.800533   \n","1                    1.140499  ...       47.174568   \n","2                    1.103316  ...       41.501835   \n","3                    1.223614  ...       50.031181   \n","4                    1.248739  ...       42.183971   \n","...                       ...  ...             ...   \n","1148                 1.327102  ...               0   \n","1149                 1.282202  ...               0   \n","1150                 1.234370  ...               0   \n","1151                 1.248112  ...               0   \n","1152                 1.102960  ...               0   \n","\n","      Traspaso vapor alta presion  Flujo condensado de vapor 2  \\\n","0                      -16.403118                    55.111847   \n","1                      -25.001226                    54.472202   \n","2                      -32.346756                    54.868324   \n","3                      -11.782591                    55.122517   \n","4                      -37.520939                    59.148407   \n","...                           ...                          ...   \n","1148                    -6.052447                    58.167320   \n","1149                    -6.071373                    59.485466   \n","1150                    -6.266962                    59.564442   \n","1151                    -6.236718                    59.191444   \n","1152                    -6.123524                    57.916817   \n","\n","      Flujo condensado de vapor 1  Potencia Media AGA SF2  \\\n","0                        1.320719             3596.615723   \n","1                        1.295107             3626.050293   \n","2                        1.320784             3760.971191   \n","3                        1.340983             3732.642334   \n","4                        1.364929             3719.249023   \n","...                           ...                     ...   \n","1148                     1.659870             3779.910156   \n","1149                     1.659870              3745.52002   \n","1150                     1.659870             3743.449463   \n","1151                     1.659870             3582.329834   \n","1152                     1.561509             3582.556152   \n","\n","      Potencia Media AMSA SF1  Potencia Media SF1+AMSA  \\\n","0                  238.051071             28787.296875   \n","1                  238.147842             28451.166016   \n","2                  235.034882             28733.126953   \n","3                  243.157639             28331.724609   \n","4                   238.37941             28454.082031   \n","...                       ...                      ...   \n","1148               431.451935             29560.935547   \n","1149               450.862396             30219.025391   \n","1150               342.854919             29341.095703   \n","1151               421.524902             30061.484375   \n","1152                 381.4758             29213.257812   \n","\n","      Potencia Media SF2+AGA  Generación TG2  Solidos alimentados Evap SF2  \n","0              -10226.526367       44.311375                     15.029305  \n","1              -12912.736328       44.399441                     15.029305  \n","2              -10815.240234       44.359051                     15.301791  \n","3              -13846.183594       44.499325                     15.301791  \n","4              -12041.871094       44.042847                     15.301791  \n","...                      ...             ...                           ...  \n","1148            -3510.351562       43.572365                     15.575074  \n","1149            -5982.137207       43.621933                     15.575074  \n","1150            -8177.477539       43.528225                     15.849157  \n","1151            -7916.760254       43.369431                     15.849157  \n","1152            -3081.311035       43.577621                     15.849157  \n","\n","[1153 rows x 692 columns]"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["data"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_0cSzbEa6YNx"},"outputs":[],"source":["## Archivo 2: Variables\n","'''\n","Archivo debe tener\n","\n","\n","*   Tag\n","*   Nombre de la Variable\n","'''\n"]},{"cell_type":"code","execution_count":12,"metadata":{"id":"KisA0eitjwPF"},"outputs":[{"data":{"text/plain":["(691, 2)"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["#path data googledrive\n","path_data_processed = filename1\n","\n","#leer data processed\n","variables = pd.read_excel(path_data_processed,sheet_name='variables')\n","variables.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DqWBrBGU5o6d"},"outputs":[],"source":["## Archivo 3: Listado límites\n","'''\n","Archivo debe contar con lo siguiente:\n","\n","\n","*   Tag\n","*   Variable\n","*   Unidad\n","*   Min\n","*   Max\n","*   Proceso\n","*   Tipo\n","'''\n"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"gWnno7CNne6K"},"outputs":[],"source":["#path data googledrive\n","path_data_processed = filename2\n","\n","#leer data processed\n","rangos = pd.read_excel(path_data_processed, sheet_name='SDCA GoogleSheet')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"57Kw2wK4oWGY"},"outputs":[],"source":["# Funciones"]},{"cell_type":"code","execution_count":14,"metadata":{"id":"ZWQinDfNmFSg"},"outputs":[],"source":["def Cp(USL,LSL,STD,sigma):\n","  if STD==0:\n","      STD=0.001\n","  Cp = (USL - LSL)/(sigma*STD)\n","  return Cp"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"t7qGarFapCkw"},"outputs":[],"source":["def Cpk(USL,LSL,mean_x,STD,sigma):\n","  if STD==0:\n","      STD=0.001\n","  Cpk_sup = (USL - mean_x)/(sigma*STD)\n","  Cpk_inf = (mean_x - LSL)/(sigma*STD)\n","\n","  minimum = min(Cpk_sup,Cpk_inf)\n","\n","  return minimum"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"IY8viMz147FF"},"outputs":[],"source":["def process_capability(data,variables,rangos,sigma):\n","  ##\n","  ## Función para obtener la capacidad del proceso para un set de variables\n","  ##\n","  \n","  capacidad_proc = pd.DataFrame(columns=['Tag','Variable','Promedio','STD','LSL','USL','CP','CPK','% bajo LSL','% sobre USL'])\n","  for j in range(len(variables.iloc[:,0])):\n","    \n","    # Var selection\n","    tag = variables.iloc[j,0]\n","    var = variables.iloc[j,1]\n","    \n","    # Cp y CPk\n","    mean_var = data[var].mean()\n","    std_var = data[var].std()\n","\n","    if pd.isna(rangos[rangos['Variable']==var].loc[j,'Max'])==False:\n","      USL = rangos[rangos['Variable']==var].loc[j,'Max']\n","    else:\n","      USL = mean_var+3*std_var\n","    LSL = rangos[rangos['Variable']==var].loc[j,'Min']\n","\n","    Cp_1 = Cp(USL,LSL,std_var,sigma)\n","    Cpk_1 = Cpk(USL,LSL,mean_var,std_var,sigma/2)\n","\n","    pct_below_LSL = len(data[var][data[var] < LSL])/len(data[var])*100\n","    pct_above_USL = len(data[var][data[var] > USL])/len(data[var])*100\n","\n","    # Creación Dataframe\n","    row_append = pd.DataFrame([[tag,var,mean_var,std_var,LSL,USL,Cp_1,Cpk_1,pct_below_LSL,pct_above_USL]],columns=['Tag','Variable','Promedio','STD','LSL','USL','CP','CPK','% bajo LSL','% sobre USL'])\n","    capacidad_proc = pd.concat([capacidad_proc,row_append],ignore_index=True)\n","  \n","  cap_process = capacidad_proc.merge(rangos[['Variable','Proceso']],on='Variable').drop_duplicates('Variable').reset_index(drop=True).round(2)\n","\n","  return cap_process"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"aKMNAGyb8ka-"},"outputs":[],"source":["def outlier_removal(data,variables):\n","  ## data: dataset completo\n","  ## vairables: lista con el nombre de las variables\n","  # Outlier removal\n","  for i in range(len(variables)):\n","    var = variables.iloc[i]\n","\n","    q75 = data[var].quantile(0.75)\n","    q25 = data[var].quantile(0.25)\n","    intr_qr = q75-q25\n","\n","    maxi = q75+(1.5*intr_qr)\n","    mini = q25-(1.5*intr_qr)\n","\n","    data[var].loc[data[var] < mini] = np.nan\n","    data[var].loc[data[var] > maxi] = np.nan\n","\n","  return data"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"TAjvxICXDQQ7"},"outputs":[],"source":["def process_hist_plot(data,USL,LSL,target):\n","  #\n","  # Solo para análisis univariado \n","  # hist plot\n","  \n","  from scipy.stats import norm\n","  x = np.linspace(min(data), max(data), 1000)\n","\n","  # call first \n","  # from scipy.stats import norm\n","  y = norm.pdf(x, loc=5, scale=1)\n","\n","  # Plot histogram for data along with probability density functions and specification limits\n","  plt.figure(figsize=(15,10))\n","  plt.hist(data, color=\"lightgrey\", edgecolor=\"black\", density=True)\n","  sns.kdeplot(data, color=\"blue\", label=\"Density ST\")\n","  plt.plot(x, y, linestyle=\"--\", color=\"black\", label=\"Theorethical Density ST\")\n","  plt.axvline(LSL, linestyle=\"--\", color=\"red\", label=\"LSL\")\n","  plt.axvline(USL, linestyle=\"--\", color=\"orange\", label=\"USL\")\n","  plt.axvline(target, linestyle=\"--\", color=\"green\", label=\"Target\")\n","  plt.title('Process Capability Analysis')\n","  plt.xlabel(\"Measure\")\n","  plt.ylabel(\"\")\n","  plt.yticks([])\n","  plt.legend()\n","  plt.show()\n","\n","  # % data outside\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"CPGTpoP1YBvf"},"outputs":[],"source":["def plot_control_chart(data,fecha,USL,LSL,sigma):\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.axhline(((data.mean())+3*data.std()), color='red', linestyle='dashed',label='UCL')\n","  ax.axhline(((data.mean())-3*data.std()), color='red', linestyle='dashed',label='LCL')\n","  ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Control de Procesos')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')  "]},{"cell_type":"code","execution_count":20,"metadata":{"id":"LBBubqXxt006"},"outputs":[],"source":["def plot_control_chart_week(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='UCL')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Control de Procesos')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')  "]},{"cell_type":"code","execution_count":21,"metadata":{"id":"kz6_yThe5hXe"},"outputs":[],"source":["def plot_control_chart_weekb(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='UCL')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  "]},{"cell_type":"code","execution_count":22,"metadata":{"id":"CTQEHuDJ9zbk"},"outputs":[],"source":["def plot_control_chart_weekc(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='Promedio')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","\n","  process_hist_plot(data,USL,LSL,USL - (USL - LSL)/2)\n","\n","  print('Control de Procesos Generales')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pUVMHNz6kuJF"},"outputs":[],"source":["# Transformaciones"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_hZY-BrCkyCw"},"outputs":[],"source":["## fechas"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Tag</th>\n","      <th>Nombre</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>369TI441.PNT</td>\n","      <td>TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>369TI442.PNT</td>\n","      <td>TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>369TI443.PNT</td>\n","      <td>TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>369TI987.PNT</td>\n","      <td>TEMPERATURA SALA RACK 1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>369TI993.PNT</td>\n","      <td>TEMPERATURA SALA MEDIO TENSION 2</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>686</th>\n","      <td>CaeAmsaP</td>\n","      <td>Potencia Media AMSA SF1</td>\n","    </tr>\n","    <tr>\n","      <th>687</th>\n","      <td>CaeStfel1P</td>\n","      <td>Potencia Media SF1+AMSA</td>\n","    </tr>\n","    <tr>\n","      <th>688</th>\n","      <td>CaeStfel2P</td>\n","      <td>Potencia Media SF2+AGA</td>\n","    </tr>\n","    <tr>\n","      <th>689</th>\n","      <td>CAESTFETG2P.C</td>\n","      <td>Generación TG2</td>\n","    </tr>\n","    <tr>\n","      <th>690</th>\n","      <td>S267ALE036</td>\n","      <td>Solidos alimentados Evap SF2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>691 rows × 2 columns</p>\n","</div>"],"text/plain":["               Tag                                           Nombre\n","0     369TI441.PNT     TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2\n","1     369TI442.PNT  TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2\n","2     369TI443.PNT  TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2\n","3     369TI987.PNT                          TEMPERATURA SALA RACK 1\n","4     369TI993.PNT                 TEMPERATURA SALA MEDIO TENSION 2\n","..             ...                                              ...\n","686       CaeAmsaP                          Potencia Media AMSA SF1\n","687     CaeStfel1P                          Potencia Media SF1+AMSA\n","688     CaeStfel2P                           Potencia Media SF2+AGA\n","689  CAESTFETG2P.C                                   Generación TG2\n","690     S267ALE036                     Solidos alimentados Evap SF2\n","\n","[691 rows x 2 columns]"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["#data"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"L3FgCue8kt2f"},"outputs":[],"source":["data['dia'] = pd.to_datetime(data['Fecha']).dt.day\n","data['mes'] = pd.to_datetime(data['Fecha']).dt.month\n","data['anio'] = pd.to_datetime(data['Fecha']).dt.year\n","data['semana'] = pd.to_datetime(data['Fecha']).dt.isocalendar().week"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"x9TQiN6T38L_"},"outputs":[],"source":["## fill nan cuando Min no tiene valor"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"14MhjxzM3-KL"},"outputs":[],"source":["rangos['Min'] = rangos['Min'].fillna(0)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pwVpudFKBaO5"},"outputs":[],"source":["## textos en nan"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"9k1p7s2lBc2y"},"outputs":[],"source":["data.iloc[:,1:] = data.iloc[:,1:].applymap(lambda x: x if not isinstance(x, str) else np.nan)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PpCcVczm__1j"},"outputs":[],"source":["## Outlier removal"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"bo7bIAgu-avh"},"outputs":[],"source":["data_clean = outlier_removal(data,variables.iloc[:,1])\n","dataset_process = data_clean.copy()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"itP8KpJV29ji"},"outputs":[],"source":["# Capacidad del proceso\n","'''\n","Se utiliza sigma=4\n","'''"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"zjdpRymv2dsH"},"outputs":[],"source":["sigma_proc = 4"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LPBPaz2S3BxF"},"outputs":[],"source":["## Dataset Completo"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"Z_kmjmA77Sqv"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Tag</th>\n","      <th>Variable</th>\n","      <th>Promedio</th>\n","      <th>STD</th>\n","      <th>LSL</th>\n","      <th>USL</th>\n","      <th>CP</th>\n","      <th>CPK</th>\n","      <th>% bajo LSL</th>\n","      <th>% sobre USL</th>\n","      <th>Proceso</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>369TI441.PNT</td>\n","      <td>TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2</td>\n","      <td>22.399166</td>\n","      <td>0.012986</td>\n","      <td>0.0</td>\n","      <td>30.0</td>\n","      <td>577.549864</td>\n","      <td>292.657388</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>Bioenergia</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>369TI442.PNT</td>\n","      <td>TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2</td>\n","      <td>22.303206</td>\n","      <td>0.011622</td>\n","      <td>0.0</td>\n","      <td>28.0</td>\n","      <td>602.311126</td>\n","      <td>245.088756</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>Bioenergia</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>369TI443.PNT</td>\n","      <td>TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2</td>\n","      <td>22.352765</td>\n","      <td>0.01338</td>\n","      <td>0.0</td>\n","      <td>34.0</td>\n","      <td>635.298659</td>\n","      <td>435.263103</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>Bioenergia</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>369TI987.PNT</td>\n","      <td>TEMPERATURA SALA RACK 1</td>\n","      <td>22.117785</td>\n","      <td>0.014267</td>\n","      <td>0.0</td>\n","      <td>24.0</td>\n","      <td>420.553047</td>\n","      <td>65.964257</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>Bioenergia</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>369TI993.PNT</td>\n","      <td>TEMPERATURA SALA MEDIO TENSION 2</td>\n","      <td>22.176624</td>\n","      <td>0.014079</td>\n","      <td>0.0</td>\n","      <td>30.0</td>\n","      <td>532.69445</td>\n","      <td>277.831263</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>Bioenergia</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>618</th>\n","      <td>CaeAmsaP</td>\n","      <td>Potencia Media AMSA SF1</td>\n","      <td>1440.957608</td>\n","      <td>739.24912</td>\n","      <td>0.0</td>\n","      <td>1834743298.0</td>\n","      <td>620475.306622</td>\n","      <td>0.974609</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>619</th>\n","      <td>CaeStfel1P</td>\n","      <td>Potencia Media SF1+AMSA</td>\n","      <td>30295.740066</td>\n","      <td>903.221376</td>\n","      <td>0.0</td>\n","      <td>8758034661.0</td>\n","      <td>2424110.769948</td>\n","      <td>16.770938</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>620</th>\n","      <td>CaeStfel2P</td>\n","      <td>Potencia Media SF2+AGA</td>\n","      <td>-7844.02693</td>\n","      <td>3120.760784</td>\n","      <td>0.0</td>\n","      <td>-6503232001.0</td>\n","      <td>-520965.275088</td>\n","      <td>-1041929.293427</td>\n","      <td>96.61752</td>\n","      <td>97.051171</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>621</th>\n","      <td>CAESTFETG2P.C</td>\n","      <td>Generación TG2</td>\n","      <td>43.93403</td>\n","      <td>0.454022</td>\n","      <td>43.0</td>\n","      <td>45.296094</td>\n","      <td>1.264309</td>\n","      <td>1.028618</td>\n","      <td>0.780572</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>622</th>\n","      <td>S267ALE036</td>\n","      <td>Solidos alimentados Evap SF2</td>\n","      <td>15.204944</td>\n","      <td>0.390561</td>\n","      <td>13.5</td>\n","      <td>14.5</td>\n","      <td>0.640105</td>\n","      <td>-0.902477</td>\n","      <td>0.0</td>\n","      <td>95.836947</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>623 rows × 11 columns</p>\n","</div>"],"text/plain":["               Tag                                         Variable  \\\n","0     369TI441.PNT     TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2   \n","1     369TI442.PNT  TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2   \n","2     369TI443.PNT  TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2   \n","3     369TI987.PNT                          TEMPERATURA SALA RACK 1   \n","4     369TI993.PNT                 TEMPERATURA SALA MEDIO TENSION 2   \n","..             ...                                              ...   \n","618       CaeAmsaP                          Potencia Media AMSA SF1   \n","619     CaeStfel1P                          Potencia Media SF1+AMSA   \n","620     CaeStfel2P                           Potencia Media SF2+AGA   \n","621  CAESTFETG2P.C                                   Generación TG2   \n","622     S267ALE036                     Solidos alimentados Evap SF2   \n","\n","         Promedio          STD   LSL           USL              CP  \\\n","0       22.399166     0.012986   0.0          30.0      577.549864   \n","1       22.303206     0.011622   0.0          28.0      602.311126   \n","2       22.352765      0.01338   0.0          34.0      635.298659   \n","3       22.117785     0.014267   0.0          24.0      420.553047   \n","4       22.176624     0.014079   0.0          30.0       532.69445   \n","..            ...          ...   ...           ...             ...   \n","618   1440.957608    739.24912   0.0  1834743298.0   620475.306622   \n","619  30295.740066   903.221376   0.0  8758034661.0  2424110.769948   \n","620   -7844.02693  3120.760784   0.0 -6503232001.0  -520965.275088   \n","621      43.93403     0.454022  43.0     45.296094        1.264309   \n","622     15.204944     0.390561  13.5          14.5        0.640105   \n","\n","                CPK % bajo LSL % sobre USL     Proceso  \n","0        292.657388        0.0         0.0  Bioenergia  \n","1        245.088756        0.0         0.0  Bioenergia  \n","2        435.263103        0.0         0.0  Bioenergia  \n","3         65.964257        0.0         0.0  Bioenergia  \n","4        277.831263        0.0         0.0  Bioenergia  \n","..              ...        ...         ...         ...  \n","618        0.974609        0.0         0.0         NaN  \n","619       16.770938        0.0         0.0         NaN  \n","620 -1041929.293427   96.61752   97.051171         NaN  \n","621        1.028618   0.780572         0.0         NaN  \n","622       -0.902477        0.0   95.836947         NaN  \n","\n","[623 rows x 11 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["#@title Capacidad del proceso\n","\n","# capacidad_proc = process_capability(dataset_process[dataset_process['semana']==2],variables,rangos,sigma_proc)\n","capacidad_proc = process_capability(dataset_process,variables,rangos,sigma_proc)\n","capacidad_proc\n","\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NYyHAdOBxdPW"},"outputs":[],"source":["# Análisis Univariado - Mes movil"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kefb2Sjm9UPN"},"outputs":[],"source":["## Seleccionamos la variable"]},{"cell_type":"code","execution_count":21,"metadata":{"id":"pfO9fE2Mxi3R"},"outputs":[],"source":["var_analizar='Kappa Salida Deslignificacion'\n","USL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['USL']\n","LSL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['LSL']\n","target_process = USL_process - (USL_process - LSL_process)/2"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iwKZhYJ1x-yQ"},"outputs":[],"source":["## Control Chart"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"yMpj1Ve1sUUQ"},"outputs":[],"source":["variables_analizar = capacidad_proc['Variable'].unique()\n","proceso_analizar = capacidad_proc['Proceso'].unique()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Q1vqJS9qb-6H"},"outputs":[],"source":["# plot_control_chart(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Qv5jYHOMtplz"},"outputs":[],"source":["# plot_control_chart_weekc(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc,semana=dataset_process['semana'])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zvzLzW4hDv3O"},"outputs":[],"source":["# process_hist_plot(dataset_process[var_analizar],USL=USL_process,LSL= LSL_process,target=target_process)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ATZtJ8db0d5V"},"outputs":[],"source":["# Análisis Semanal"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ISuNOi4xMogR"},"outputs":[],"source":["## Generación de información"]},{"cell_type":"code","execution_count":23,"metadata":{"id":"MTl57ZB-0bst"},"outputs":[],"source":["analisis_semanal = pd.DataFrame(columns=capacidad_proc.columns)\n","analisis_semanal['semana'] = np.nan\n","for i in data_clean['semana'].unique():\n","  process_concat = process_capability(dataset_process[dataset_process['semana']==i],variables,rangos,sigma = sigma_proc)\n","  process_concat['semana'] = i\n","  analisis_semanal = analisis_semanal.append(process_concat,ignore_index=True)"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"-hkW05igCv0g"},"outputs":[],"source":["semana_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['semana']\n","cp_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['CP']\n","cpk_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['CPK']"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"nCk1_tAnMvnO"},"outputs":[],"source":["## Evolución capacidad del proceso 4 últimas semanas"]},{"cell_type":"code","execution_count":31,"metadata":{},"outputs":[{"data":{"text/plain":["array(['Bioenergia', 'Blanqueo SF1', 'Blanqueo SF2',\n","       'Caldera Biomasa SF1', 'Caldera Biomasa SF2',\n","       'Caldera Recuperadora 2', 'Caldera Recuperadora SF1',\n","       'Caldera Recuperadora SF2', 'Causitificacion y Horno SF2',\n","       'Caustificacion SF1', 'Caustificacion SF2', 'Clasificacion',\n","       'Coccion SF1', 'Coccion SF2', 'Compresores SF1', 'Compresores SF2',\n","       'Efluentes', 'Erco', 'Erco R10', 'Evaporadores SF1',\n","       'Evaporadores SF2', 'Horno de Cal SF1', 'Horno de Cal SF2',\n","       'Lavado SF1', 'Lavado SF2', 'Lavado y Blanqueo SF2', 'Maderas',\n","       'Maquina SF1', 'Maquina SF2', 'Planta', 'Planta de agua',\n","       'Planta de Agua', 'Planta demi SF1', 'Planta demi SF2',\n","       'Secado SF1', 'Secado SF2', 'TG1', 'TG2', 'TG3', 'TG4', nan],\n","      dtype=object)"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["analisis_semanal['Proceso'].unique()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Oj7BK98t8EHm"},"outputs":[],"source":["for i in analisis_semanal[analisis_semanal['Proceso']== select_area]['Variable'].unique():\n","  try:\n","    var_analizar=i\n","    USL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['USL']\n","    LSL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['LSL']\n","    target_process = USL_process - (USL_process - LSL_process)/2\n","    print('')\n","    print('')\n","    print(var_analizar)\n","    print('')\n","    print(analisis_semanal[analisis_semanal['Variable']==var_analizar])\n","    print('')\n","    plot_control_chart_weekc(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc,semana=dataset_process['semana'])\n","  except:\n","    pass\n"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyMK24vRsdKQ5F9deXxFJUL4","provenance":[]},"kernelspec":{"display_name":"Python 3.9.12 ('base')","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":"3.9.12"},"vscode":{"interpreter":{"hash":"499f128a82e2b79451131852586e0bb06fce5014f717125641f9cae50119434e"}}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"raw","metadata":{},"source":["---\n","title: Gráficos de proceso\n","description: Se requiere cargar un archivo con la data y otro con los límites\n","show-code: False\n","params:\n","    select_area:\n","        label: Seleccione el nombre del área\n","        input: select\n","        value: Bioenergia\n","        choices: ['Bioenergia', 'Blanqueo SF1', 'Blanqueo SF2',\n","       'Caldera Biomasa SF1', 'Caldera Biomasa SF2',\n","       'Caldera Recuperadora 2', 'Caldera Recuperadora SF1',\n","       'Caldera Recuperadora SF2', 'Causitificacion y Horno SF2',\n","       'Caustificacion SF1', 'Caustificacion SF2', 'Clasificacion',\n","       'Coccion SF1', 'Coccion SF2', 'Compresores SF1', 'Compresores SF2',\n","       'Efluentes', 'Erco', 'Erco R10', 'Evaporadores SF1',\n","       'Evaporadores SF2', 'Horno de Cal SF1', 'Horno de Cal SF2',\n","       'Lavado SF1', 'Lavado SF2', 'Lavado y Blanqueo SF2', 'Maderas',\n","       'Maquina SF1', 'Maquina SF2', 'Planta', 'Planta de agua',\n","       'Planta de Agua', 'Planta demi SF1', 'Planta demi SF2',\n","       'Secado SF1', 'Secado SF2', 'TG1', 'TG2', 'TG3', 'TG4']\n","        multi: False\n","    filename1:\n","        label: Ingrese archivo con los datos\n","        input: file\n","        maxFileSize: 100MB\n","    filename2:\n","        label: Ingrese archivo con los límites\n","        input: file\n","        maxFileSize: 100MB\n","\n","---"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["select_area = select_area\n","#select_area = \"Caldera Recuperadora SF1\"\n","\n","filename1   = filename1\n","#filename1   = \"15_dias.xlsx\"\n","\n","filename2   = filename2\n","#filename2   = \"SDCA Google Sheet.xlsx\""]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#!pip install openpyxl"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":1793,"status":"ok","timestamp":1674579356775,"user":{"displayName":"Carlos Sandoval Ormeño","userId":"08254748332068667609"},"user_tz":180},"id":"OvnKztF5hBlh"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import pickle\n","import warnings\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from scipy.stats import norm\n","\n","warnings.filterwarnings(\"ignore\")"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[],"source":["#%load_ext watermark"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#%watermark --iversions "]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#!pip3 list | findstr openpyxl"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sIiZd8tijLAm"},"outputs":[],"source":["# Conexión y carga de datos"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ydai0pFWjM2T"},"outputs":[],"source":["#Conectarse a google drive para cargar datos\n","#from google.colab import drive\n","#drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"bpV5VAuR6Klh"},"outputs":[],"source":["## Archivo 1: Datos\n","\n","#Posee todos los datos en un periodo de tiempo definido. Primera fila debe ser el nombre de la Variable"]},{"cell_type":"code","execution_count":27,"metadata":{"id":"wnkX8PRujP-m"},"outputs":[{"data":{"text/plain":["(1153, 692)"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["#path data googledrive\n","path_data_processed = filename1\n","\n","#leer data processed\n","data_processed = pd.read_excel(path_data_processed,sheet_name='15_dias')\n","#data_processed.shape"]},{"cell_type":"code","execution_count":28,"metadata":{"id":"yB55dhn5j2zB"},"outputs":[],"source":["data = data_processed.copy()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#data"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_0cSzbEa6YNx"},"outputs":[],"source":["## Archivo 2: Variables\n","\n","#Archivo debe tener\n","\n","\n","#*   Tag\n","#*   Nombre de la Variable\n"]},{"cell_type":"code","execution_count":12,"metadata":{"id":"KisA0eitjwPF"},"outputs":[{"data":{"text/plain":["(691, 2)"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["#path data googledrive\n","path_data_processed = filename1\n","\n","#leer data processed\n","variables = pd.read_excel(path_data_processed,sheet_name='variables')\n","#variables.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DqWBrBGU5o6d"},"outputs":[],"source":["## Archivo 3: Listado límites\n","\n","#Archivo debe contar con lo siguiente:\n","\n","\n","#*   Tag\n","#*   Variable\n","#*   Unidad\n","#*   Min\n","#*   Max\n","#*   Proceso\n","#*   Tipo\n","\n"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"gWnno7CNne6K"},"outputs":[],"source":["#path data googledrive\n","path_data_processed = filename2\n","\n","#leer data processed\n","rangos = pd.read_excel(path_data_processed, sheet_name='SDCA GoogleSheet')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"57Kw2wK4oWGY"},"outputs":[],"source":["# Funciones"]},{"cell_type":"code","execution_count":14,"metadata":{"id":"ZWQinDfNmFSg"},"outputs":[],"source":["def Cp(USL,LSL,STD,sigma):\n","  if STD==0:\n","      STD=0.001\n","  Cp = (USL - LSL)/(sigma*STD)\n","  return Cp"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"t7qGarFapCkw"},"outputs":[],"source":["def Cpk(USL,LSL,mean_x,STD,sigma):\n","  if STD==0:\n","      STD=0.001\n","  Cpk_sup = (USL - mean_x)/(sigma*STD)\n","  Cpk_inf = (mean_x - LSL)/(sigma*STD)\n","\n","  minimum = min(Cpk_sup,Cpk_inf)\n","\n","  return minimum"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"IY8viMz147FF"},"outputs":[],"source":["def process_capability(data,variables,rangos,sigma):\n","  ##\n","  ## Función para obtener la capacidad del proceso para un set de variables\n","  ##\n","  \n","  capacidad_proc = pd.DataFrame(columns=['Tag','Variable','Promedio','STD','LSL','USL','CP','CPK','% bajo LSL','% sobre USL'])\n","  for j in range(len(variables.iloc[:,0])):\n","    \n","    # Var selection\n","    tag = variables.iloc[j,0]\n","    var = variables.iloc[j,1]\n","    \n","    # Cp y CPk\n","    mean_var = data[var].mean()\n","    std_var = data[var].std()\n","\n","    if pd.isna(rangos[rangos['Variable']==var].loc[j,'Max'])==False:\n","      USL = rangos[rangos['Variable']==var].loc[j,'Max']\n","    else:\n","      USL = mean_var+3*std_var\n","    LSL = rangos[rangos['Variable']==var].loc[j,'Min']\n","\n","    Cp_1 = Cp(USL,LSL,std_var,sigma)\n","    Cpk_1 = Cpk(USL,LSL,mean_var,std_var,sigma/2)\n","\n","    pct_below_LSL = len(data[var][data[var] < LSL])/len(data[var])*100\n","    pct_above_USL = len(data[var][data[var] > USL])/len(data[var])*100\n","\n","    # Creación Dataframe\n","    row_append = pd.DataFrame([[tag,var,mean_var,std_var,LSL,USL,Cp_1,Cpk_1,pct_below_LSL,pct_above_USL]],columns=['Tag','Variable','Promedio','STD','LSL','USL','CP','CPK','% bajo LSL','% sobre USL'])\n","    capacidad_proc = pd.concat([capacidad_proc,row_append],ignore_index=True)\n","  \n","  cap_process = capacidad_proc.merge(rangos[['Variable','Proceso']],on='Variable').drop_duplicates('Variable').reset_index(drop=True).round(2)\n","\n","  return cap_process"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"aKMNAGyb8ka-"},"outputs":[],"source":["def outlier_removal(data,variables):\n","  ## data: dataset completo\n","  ## vairables: lista con el nombre de las variables\n","  # Outlier removal\n","  for i in range(len(variables)):\n","    var = variables.iloc[i]\n","\n","    q75 = data[var].quantile(0.75)\n","    q25 = data[var].quantile(0.25)\n","    intr_qr = q75-q25\n","\n","    maxi = q75+(1.5*intr_qr)\n","    mini = q25-(1.5*intr_qr)\n","\n","    data[var].loc[data[var] < mini] = np.nan\n","    data[var].loc[data[var] > maxi] = np.nan\n","\n","  return data"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"TAjvxICXDQQ7"},"outputs":[],"source":["def process_hist_plot(data,USL,LSL,target):\n","  #\n","  # Solo para análisis univariado \n","  # hist plot\n","  \n","  from scipy.stats import norm\n","  x = np.linspace(min(data), max(data), 1000)\n","\n","  # call first \n","  # from scipy.stats import norm\n","  y = norm.pdf(x, loc=5, scale=1)\n","\n","  # Plot histogram for data along with probability density functions and specification limits\n","  plt.figure(figsize=(15,10))\n","  plt.hist(data, color=\"lightgrey\", edgecolor=\"black\", density=True)\n","  sns.kdeplot(data, color=\"blue\", label=\"Density ST\")\n","  plt.plot(x, y, linestyle=\"--\", color=\"black\", label=\"Theorethical Density ST\")\n","  plt.axvline(LSL, linestyle=\"--\", color=\"red\", label=\"LSL\")\n","  plt.axvline(USL, linestyle=\"--\", color=\"orange\", label=\"USL\")\n","  plt.axvline(target, linestyle=\"--\", color=\"green\", label=\"Target\")\n","  plt.title('Process Capability Analysis')\n","  plt.xlabel(\"Measure\")\n","  plt.ylabel(\"\")\n","  plt.yticks([])\n","  plt.legend()\n","  plt.show()\n","\n","  # % data outside\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"CPGTpoP1YBvf"},"outputs":[],"source":["def plot_control_chart(data,fecha,USL,LSL,sigma):\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.axhline(((data.mean())+3*data.std()), color='red', linestyle='dashed',label='UCL')\n","  ax.axhline(((data.mean())-3*data.std()), color='red', linestyle='dashed',label='LCL')\n","  ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Control de Procesos')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')  "]},{"cell_type":"code","execution_count":20,"metadata":{"id":"LBBubqXxt006"},"outputs":[],"source":["def plot_control_chart_week(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='UCL')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  print('')\n","  print('Estadística descriptiva')\n","  print(' ')\n","  print('Promedio : {0:.2f}'.format(data.mean()))\n","  print('Desv Estandar : {0:.2f}'.format(data.std()))\n","  print('Mínimo: {0:.2f}'.format(data.min()))\n","  print('25%: {0:.2f}'.format(data.quantile(0.25)))\n","  print('50%: {0:.2f}'.format(data.quantile(0.5)))\n","  print('75%: {0:.2f}'.format(data.quantile(0.75)))\n","  print('Máximo: {0:.2f}'.format(data.max()))\n","  print('IQR : {0:.2f}'.format(data.quantile(0.75)-data.quantile(0.25)))\n","  print('Asimetría: {0:.2f}'.format(data.skew()))\n","  print('Kurtosis: {0:.2f}'.format(data.kurt()))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Control de Procesos')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))\n","  print(' ')\n","  print('--------')\n","  print('')\n","  print('Límites')\n","  print(' ')\n","  print('Límite control superior: {0:.2f}'.format((data.mean())+3*data.std()))\n","  print('Límite control inferior: {0:.2f}'.format((data.mean())-3*data.std()))\n","  print('Límite especificación superior: {0:.2f}'.format(USL))\n","  print('Límite especificación inferior: {0:.2f}'.format(LSL))\n","  print('')\n","  print('--------')\n","  print('')\n","  print('Datos fuera rangos')\n","  print(' ')  \n","  print('Porcentaje de datos bajo LSL ({0:.2f}): {1:.2f}%'.format(LSL,pct_below_LSL))\n","  print('Porcentaje de datos sobre USL ({0:.2f}): {1:.2f}%'.format(USL,pct_above_USL))\n","  print(' ') \n","  print(' ')  "]},{"cell_type":"code","execution_count":21,"metadata":{"id":"kz6_yThe5hXe"},"outputs":[],"source":["def plot_control_chart_weekb(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='UCL')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","  "]},{"cell_type":"code","execution_count":22,"metadata":{"id":"CTQEHuDJ9zbk"},"outputs":[],"source":["def plot_control_chart_weekc(data,fecha,USL,LSL,sigma,semana):\n","  control_columns = pd.DataFrame(columns=['Fecha','LCL','UCL','Mean','Semana'])\n","  control_columns['Fecha'] = fecha.copy()\n","  control_columns['Semana'] = semana.copy()\n","  for i in semana.unique():\n","      control_columns.loc[control_columns['Semana']==i,'LCL'] = (data.loc[semana==i].mean())-3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'UCL'] = (data.loc[semana==i].mean())+3*data.loc[semana==i].std()\n","      control_columns.loc[control_columns['Semana']==i,'Mean'] = (data.loc[semana==i].mean())\n","\n","\n","  import matplotlib.dates as mdates\n","  fig, ax = plt.subplots(figsize=(15, 10))\n","\n","  #year_month_formatter = mdates.DateFormatter(\"%Y-%m\")\n","  #ax.xaxis.set_major_formatter(year_month_formatter) # formatter for major axis only\n","\n","  ax.plot(fecha,data)\n","\n","  ax.plot(fecha,control_columns['LCL'], color='red', linestyle='dashed',label='LCL')\n","  ax.plot(fecha,control_columns['UCL'], color='red', linestyle='dashed',label='UCL')\n","  ax.plot(fecha,control_columns['Mean'], color='green', linestyle='dashed',label='Promedio')\n","  # ax.axhline((data.mean()), color='green', linestyle='dashed',label='Promedio')\n","  ax.axhline(USL, color='orange', linestyle='dashed',label='USL')\n","  ax.axhline(LSL, color='orange', linestyle='dashed',label='LSL')\n","  ax.legend()\n","  plt.title('Control Chart')\n","\n","  pct_below_LSL = len(data[data < LSL])/len(data)*100\n","  pct_above_USL = len(data[data > USL])/len(data)*100\n","\n","  Cp_1 = Cp(USL,LSL,data.std(),sigma)\n","  Cpk_1 = Cpk(USL,LSL,data.mean(),data.std(),sigma/2)\n","\n","  fig.autofmt_xdate()\n","  plt.show()\n","\n","  process_hist_plot(data,USL,LSL,USL - (USL - LSL)/2)\n","\n","  print('Control de Procesos Generales')\n","  print('')\n","  print('Cp: {0:.2f}'.format(Cp_1))\n","  print('Cpk: {0:.2f}'.format(Cpk_1))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pUVMHNz6kuJF"},"outputs":[],"source":["# Transformaciones"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_hZY-BrCkyCw"},"outputs":[],"source":["## fechas"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Tag</th>\n","      <th>Nombre</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>369TI441.PNT</td>\n","      <td>TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>369TI442.PNT</td>\n","      <td>TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>369TI443.PNT</td>\n","      <td>TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>369TI987.PNT</td>\n","      <td>TEMPERATURA SALA RACK 1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>369TI993.PNT</td>\n","      <td>TEMPERATURA SALA MEDIO TENSION 2</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>686</th>\n","      <td>CaeAmsaP</td>\n","      <td>Potencia Media AMSA SF1</td>\n","    </tr>\n","    <tr>\n","      <th>687</th>\n","      <td>CaeStfel1P</td>\n","      <td>Potencia Media SF1+AMSA</td>\n","    </tr>\n","    <tr>\n","      <th>688</th>\n","      <td>CaeStfel2P</td>\n","      <td>Potencia Media SF2+AGA</td>\n","    </tr>\n","    <tr>\n","      <th>689</th>\n","      <td>CAESTFETG2P.C</td>\n","      <td>Generación TG2</td>\n","    </tr>\n","    <tr>\n","      <th>690</th>\n","      <td>S267ALE036</td>\n","      <td>Solidos alimentados Evap SF2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>691 rows × 2 columns</p>\n","</div>"],"text/plain":["               Tag                                           Nombre\n","0     369TI441.PNT     TEMPERATURA SALA RAC MEDIO TENSION BIOMASA 2\n","1     369TI442.PNT  TEMPERATURA SALA RAC UNO BAJA TENSION BIOMASA 2\n","2     369TI443.PNT  TEMPERATURA SALA RAC DOS BAJA TENSION BIOMASA 2\n","3     369TI987.PNT                          TEMPERATURA SALA RACK 1\n","4     369TI993.PNT                 TEMPERATURA SALA MEDIO TENSION 2\n","..             ...                                              ...\n","686       CaeAmsaP                          Potencia Media AMSA SF1\n","687     CaeStfel1P                          Potencia Media SF1+AMSA\n","688     CaeStfel2P                           Potencia Media SF2+AGA\n","689  CAESTFETG2P.C                                   Generación TG2\n","690     S267ALE036                     Solidos alimentados Evap SF2\n","\n","[691 rows x 2 columns]"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["#data"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"L3FgCue8kt2f"},"outputs":[],"source":["data['dia'] = pd.to_datetime(data['Fecha']).dt.day\n","data['mes'] = pd.to_datetime(data['Fecha']).dt.month\n","data['anio'] = pd.to_datetime(data['Fecha']).dt.year\n","data['semana'] = pd.to_datetime(data['Fecha']).dt.isocalendar().week"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"x9TQiN6T38L_"},"outputs":[],"source":["## fill nan cuando Min no tiene valor"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"14MhjxzM3-KL"},"outputs":[],"source":["rangos['Min'] = rangos['Min'].fillna(0)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pwVpudFKBaO5"},"outputs":[],"source":["## textos en nan"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"9k1p7s2lBc2y"},"outputs":[],"source":["data.iloc[:,1:] = data.iloc[:,1:].applymap(lambda x: x if not isinstance(x, str) else np.nan)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PpCcVczm__1j"},"outputs":[],"source":["## Outlier removal"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"bo7bIAgu-avh"},"outputs":[],"source":["data_clean = outlier_removal(data,variables.iloc[:,1])\n","dataset_process = data_clean.copy()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"itP8KpJV29ji"},"outputs":[],"source":["# Capacidad del proceso\n","\n","#Se utiliza sigma=4\n"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"zjdpRymv2dsH"},"outputs":[],"source":["sigma_proc = 4"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LPBPaz2S3BxF"},"outputs":[],"source":["## Dataset Completo"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Z_kmjmA77Sqv"},"outputs":[],"source":["#@title Capacidad del proceso\n","\n","# capacidad_proc = process_capability(dataset_process[dataset_process['semana']==2],variables,rangos,sigma_proc)\n","capacidad_proc = process_capability(dataset_process,variables,rangos,sigma_proc)\n","capacidad_proc\n","\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NYyHAdOBxdPW"},"outputs":[],"source":["# Análisis Univariado - Mes movil"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kefb2Sjm9UPN"},"outputs":[],"source":["## Seleccionamos la variable"]},{"cell_type":"code","execution_count":21,"metadata":{"id":"pfO9fE2Mxi3R"},"outputs":[],"source":["var_analizar='Kappa Salida Deslignificacion'\n","USL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['USL']\n","LSL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['LSL']\n","target_process = USL_process - (USL_process - LSL_process)/2"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iwKZhYJ1x-yQ"},"outputs":[],"source":["## Control Chart"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"yMpj1Ve1sUUQ"},"outputs":[],"source":["variables_analizar = capacidad_proc['Variable'].unique()\n","proceso_analizar = capacidad_proc['Proceso'].unique()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Q1vqJS9qb-6H"},"outputs":[],"source":["# plot_control_chart(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Qv5jYHOMtplz"},"outputs":[],"source":["# plot_control_chart_weekc(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc,semana=dataset_process['semana'])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zvzLzW4hDv3O"},"outputs":[],"source":["# process_hist_plot(dataset_process[var_analizar],USL=USL_process,LSL= LSL_process,target=target_process)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ATZtJ8db0d5V"},"outputs":[],"source":["# Análisis Semanal"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ISuNOi4xMogR"},"outputs":[],"source":["## Generación de información"]},{"cell_type":"code","execution_count":23,"metadata":{"id":"MTl57ZB-0bst"},"outputs":[],"source":["analisis_semanal = pd.DataFrame(columns=capacidad_proc.columns)\n","analisis_semanal['semana'] = np.nan\n","for i in data_clean['semana'].unique():\n","  process_concat = process_capability(dataset_process[dataset_process['semana']==i],variables,rangos,sigma = sigma_proc)\n","  process_concat['semana'] = i\n","  analisis_semanal = analisis_semanal.append(process_concat,ignore_index=True)"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"-hkW05igCv0g"},"outputs":[],"source":["semana_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['semana']\n","cp_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['CP']\n","cpk_analisis = analisis_semanal[analisis_semanal['Variable']==var_analizar]['CPK']"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"nCk1_tAnMvnO"},"outputs":[],"source":["## Evolución capacidad del proceso 4 últimas semanas"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#analisis_semanal['Proceso'].unique()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Oj7BK98t8EHm"},"outputs":[],"source":["for i in analisis_semanal[analisis_semanal['Proceso']== select_area]['Variable'].unique():\n","  try:\n","    var_analizar=i\n","    USL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['USL']\n","    LSL_process = capacidad_proc[capacidad_proc['Variable']==var_analizar].iloc[0]['LSL']\n","    target_process = USL_process - (USL_process - LSL_process)/2\n","    print('')\n","    print('')\n","    print(var_analizar)\n","    print('')\n","    print(analisis_semanal[analisis_semanal['Variable']==var_analizar])\n","    print('')\n","    plot_control_chart_weekc(data=dataset_process[var_analizar],fecha=dataset_process['Fecha'],USL=USL_process,LSL=LSL_process,sigma=sigma_proc,semana=dataset_process['semana'])\n","  except:\n","    pass\n"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyMK24vRsdKQ5F9deXxFJUL4","provenance":[]},"kernelspec":{"display_name":"Python 3.9.12 ('base')","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":"3.9.12"},"vscode":{"interpreter":{"hash":"499f128a82e2b79451131852586e0bb06fce5014f717125641f9cae50119434e"}}},"nbformat":4,"nbformat_minor":0}