{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "from pandas import DataFrame, Series\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "from matplotlib.legend_handler import HandlerLine2D, HandlerTuple\n",
    "from scipy import stats\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrixMalEX=\"data_GG.csv\"\n",
    "matrixMal=\"data_GM.csv\"\n",
    "matrixIt=\"data_L.csv\"\n",
    "n_qty=2 #CAMBIAR SEGUN LA CANTIDAD DE NODOS USADOS\n",
    "n_groups= 2\n",
    "repet = 3 #CAMBIAR EL PRIMER NUMERO SEGUN NUMERO DE EJECUCIONES POR CONFIG\n",
    "\n",
    "p_value = 0.05\n",
    "values = [2, 10, 20, 40]\n",
    "dist_names = ['null', 'WorstFit', 'BestFit']\n",
    "\n",
    "labelsP = [['(2,2)', '(2,10)', '(2,20)', '(2,40)'],['(10,2)', '(10,10)', '(10,20)', '(10,40)'],\n",
    "          ['(20,2)', '(20,10)', '(20,20)', '(20,40)'],['(40,2)', '(40,10)', '(40,20)', '(40,40)']]\n",
    "labelsP_J = ['(2,2)', '(2,10)', '(2,20)', '(2,40)','(10,2)', '(10,10)', '(10,20)', '(10,40)',\n",
    "              '(20,2)', '(20,10)', '(20,20)', '(20,40)','(40,2)', '(40,10)', '(40,20)', '(40,40)']\n",
    "positions = [321, 322, 323, 324, 325]\n",
    "positions_small = [221, 222, 223, 224]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfG = pd.read_csv( matrixMalEX )\n",
    "\n",
    "dfG = dfG.drop(columns=dfG.columns[0])\n",
    "dfG['S'] = dfG['N']\n",
    "dfG['N'] = dfG['S'] + dfG['%Async']\n",
    "dfG['%Async'] = (dfG['%Async'] / dfG['N']) * 100\n",
    "\n",
    "if(n_qty == 1):\n",
    "    group = dfG.groupby(['%Async', 'Groups'])['TE']\n",
    "else:        \n",
    "    group = dfG.groupby(['Dist', '%Async', 'Groups'])['TE']\n",
    "\n",
    "#group\n",
    "grouped_aggG = group.agg(['mean'])\n",
    "grouped_aggG.rename(columns={'mean':'TE',}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfM = pd.read_csv( matrixMal )\n",
    "dfM = dfM.drop(columns=dfM.columns[0])\n",
    "\n",
    "dfM['S'] = dfM['N']\n",
    "dfM['N'] = dfM['S'] + dfM['%Async']\n",
    "dfM[\"TR\"] = dfM[\"TC\"] + dfM[\"TS\"] + dfM[\"TA\"]\n",
    "dfM['%Async'] = (dfM['%Async'] / dfM['N']) * 100\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupM = dfM.groupby(['%Async','NP', 'NS'])['TC', 'TS', 'TA', 'TR']\n",
    "else:\n",
    "    groupM = dfM.groupby(['Dist', '%Async','NP', 'NS'])['TC', 'TS', 'TA', 'TR']\n",
    "\n",
    "#group\n",
    "grouped_aggM = groupM.agg(['mean'])\n",
    "grouped_aggM.columns = grouped_aggM.columns.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: FutureWarning: set_axis currently defaults to operating inplace.\n",
      "This will change in a future version of pandas, use inplace=True to avoid this warning.\n",
      "  if sys.path[0] == '':\n"
     ]
    }
   ],
   "source": [
    "dfL = pd.read_csv( matrixIt )\n",
    "dfL = dfL.drop(columns=dfL.columns[0])\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupL = dfL[dfL['NS'] != 0].groupby(['Tt', '%Async', 'NP', 'NS'])['Ti', 'To']\n",
    "else:\n",
    "    groupL = dfL[dfL['NS'] != 0].groupby(['Tt', 'Dist', '%Async', 'NP', 'NS'])['Ti', 'To']\n",
    "\n",
    "#group\n",
    "grouped_aggL = groupL.agg(['mean', 'count'])\n",
    "grouped_aggL.columns = grouped_aggL.columns.get_level_values(0)\n",
    "grouped_aggL.set_axis(['Ti', 'Iters', 'To', 'Iters2'], axis='columns')\n",
    "\n",
    "grouped_aggL['Iters'] = np.round(grouped_aggL['Iters']/repet)\n",
    "grouped_aggL['Iters2'] = np.round(grouped_aggL['Iters2']/repet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_aggL.to_excel(\"resultL.xlsx\") \n",
    "grouped_aggM.to_excel(\"resultM.xlsx\") \n",
    "grouped_aggG.to_excel(\"resultG.xlsx\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
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       "      <td>50.0</td>\n",
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       "      <td>1000000</td>\n",
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       "<p>480 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              N  %Async Groups Dist  Matrix  CommTam  Time Iters         TE  \\\n",
       "0    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.655622   \n",
       "1    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.614192   \n",
       "2    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.561815   \n",
       "3    1000000000    75.0  10,40  1,1  100000  1000000   2.0  1,10  25.073783   \n",
       "4    1000000000    75.0  10,40  1,1  100000  1000000   2.0  1,10  24.690559   \n",
       "..          ...     ...    ...  ...     ...      ...   ...   ...        ...   \n",
       "475  1000000000    50.0  10,10  2,2  100000  1000000   2.0  1,10  22.716362   \n",
       "476  1000000000    50.0  10,10  2,2  100000  1000000   2.0  1,10  22.787608   \n",
       "477  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  26.209435   \n",
       "478  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  26.113280   \n",
       "479  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  25.939109   \n",
       "\n",
       "              S  \n",
       "0    1000000000  \n",
       "1    1000000000  \n",
       "2    1000000000  \n",
       "3     250000000  \n",
       "4     250000000  \n",
       "..          ...  \n",
       "475   500000000  \n",
       "476   500000000  \n",
       "477   500000000  \n",
       "478   500000000  \n",
       "479   500000000  \n",
       "\n",
       "[480 rows x 10 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "                           TE\n",
       "Dist %Async Groups           \n",
       "1,1  0.0    10,10   22.484111\n",
       "            10,2    22.759883\n",
       "            10,20   22.714897\n",
       "            10,40   23.945593\n",
       "            2,10    22.787837\n",
       "...                       ...\n",
       "2,2  100.0  20,40   26.541437\n",
       "            40,10   25.792615\n",
       "            40,2    24.536055\n",
       "            40,20   27.124025\n",
       "            40,40   27.393826\n",
       "\n",
       "[160 rows x 1 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.275007</td>\n",
       "      <td>0.159546</td>\n",
       "      <td>3.739863</td>\n",
       "      <td>250000000</td>\n",
       "      <td>5.174416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.218877</td>\n",
       "      <td>0.136006</td>\n",
       "      <td>3.434968</td>\n",
       "      <td>250000000</td>\n",
       "      <td>4.789851</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>475</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>0.550302</td>\n",
       "      <td>0.039950</td>\n",
       "      <td>2.183129</td>\n",
       "      <td>500000000</td>\n",
       "      <td>2.773381</td>\n",
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       "    <tr>\n",
       "      <td>476</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>0.565259</td>\n",
       "      <td>0.041073</td>\n",
       "      <td>2.220328</td>\n",
       "      <td>500000000</td>\n",
       "      <td>2.826660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>477</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.126832</td>\n",
       "      <td>0.377649</td>\n",
       "      <td>4.985516</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.489997</td>\n",
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       "    <tr>\n",
       "      <td>478</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.136094</td>\n",
       "      <td>0.399998</td>\n",
       "      <td>4.883929</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.420021</td>\n",
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       "    <tr>\n",
       "      <td>479</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.100109</td>\n",
       "      <td>0.345791</td>\n",
       "      <td>4.765733</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.211633</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 14 columns</p>\n",
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      "text/plain": [
       "              N  %Async  NP  NS Dist  Matrix  CommTam  Time Iters        TC  \\\n",
       "0    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.380795   \n",
       "1    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.444811   \n",
       "2    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.429329   \n",
       "3    1000000000    75.0  10  40  1,1  100000  1000000   2.0  1,10  1.275007   \n",
       "4    1000000000    75.0  10  40  1,1  100000  1000000   2.0  1,10  1.218877   \n",
       "..          ...     ...  ..  ..  ...     ...      ...   ...   ...       ...   \n",
       "475  1000000000    50.0  10  10  2,2  100000  1000000   2.0  1,10  0.550302   \n",
       "476  1000000000    50.0  10  10  2,2  100000  1000000   2.0  1,10  0.565259   \n",
       "477  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.126832   \n",
       "478  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.136094   \n",
       "479  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.100109   \n",
       "\n",
       "           TS        TA           S        TR  \n",
       "0    1.179880  0.000000  1000000000  2.560675  \n",
       "1    1.031978  0.000000  1000000000  2.476789  \n",
       "2    1.019891  0.000000  1000000000  2.449220  \n",
       "3    0.159546  3.739863   250000000  5.174416  \n",
       "4    0.136006  3.434968   250000000  4.789851  \n",
       "..        ...       ...         ...       ...  \n",
       "475  0.039950  2.183129   500000000  2.773381  \n",
       "476  0.041073  2.220328   500000000  2.826660  \n",
       "477  0.377649  4.985516   500000000  6.489997  \n",
       "478  0.399998  4.883929   500000000  6.420021  \n",
       "479  0.345791  4.765733   500000000  6.211633  \n",
       "\n",
       "[480 rows x 14 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
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       "      <td>10</td>\n",
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       "      <td>20</td>\n",
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       "      <td>4.483079</td>\n",
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       "      <td>10</td>\n",
       "      <td>1.019837</td>\n",
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       "      <td>4.705335</td>\n",
       "      <td>5.725172</td>\n",
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       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>1.385920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.640753</td>\n",
       "      <td>7.026673</td>\n",
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       "      <td>7.288690</td>\n",
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       "<p>160 rows × 4 columns</p>\n",
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      "text/plain": [
       "                         TC        TS        TA        TR\n",
       "Dist %Async NP NS                                        \n",
       "1,1  0.0    2  2   0.241944  0.327792  0.000000  0.569736\n",
       "               10  0.303633  0.438643  0.000000  0.742276\n",
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       "            10 2   0.266382  0.420096  0.000000  0.686478\n",
       "...                     ...       ...       ...       ...\n",
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       "               10  1.019837  0.000000  4.705335  5.725172\n",
       "               20  1.385920  0.000000  5.640753  7.026673\n",
       "               40  1.477186  0.000000  5.811504  7.288690\n",
       "\n",
       "[160 rows x 4 columns]"
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     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
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       "      <td>10</td>\n",
       "      <td>2.003438</td>\n",
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       "      <td>40</td>\n",
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       "      <td>10</td>\n",
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       "      <td>10</td>\n",
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       "      <td>5279</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000683</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5280 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               N  %Async  NP  N_par  NS  Dist  Compute_tam  Comm_tam  Time  \\\n",
       "0     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "1     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "2     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "3     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "4     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "...          ...     ...  ..    ...  ..   ...          ...       ...   ...   \n",
       "5275  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5276  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5277  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5278  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5279  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "\n",
       "      Iters        Ti   Tt      To  \n",
       "0        10  2.039676  0.0  2242.0  \n",
       "1        10  2.002848  0.0  2242.0  \n",
       "2        10  2.002108  0.0  2242.0  \n",
       "3        10  2.002966  0.0  2242.0  \n",
       "4        10  2.003438  0.0  2242.0  \n",
       "...     ...       ...  ...     ...  \n",
       "5275     10  2.000410  0.0  2241.0  \n",
       "5276     10  2.000693  0.0  2241.0  \n",
       "5277     10  2.000654  0.0  2241.0  \n",
       "5278     10  2.000830  0.0  2241.0  \n",
       "5279     10  2.000683  0.0  2241.0  \n",
       "\n",
       "[5280 rows x 13 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\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></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Ti</th>\n",
       "      <th>Iters</th>\n",
       "      <th>To</th>\n",
       "      <th>Iters2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tt</th>\n",
       "      <th>Dist</th>\n",
       "      <th>%Async</th>\n",
       "      <th>NP</th>\n",
       "      <th>NS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">1</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td rowspan=\"4\" valign=\"top\">2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.999980</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2.000285</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>1.999927</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>2.000288</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>2.001407</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.333333</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td rowspan=\"5\" valign=\"top\">1.0</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">2</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">100.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>4.980324</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"4\" valign=\"top\">40</td>\n",
       "      <td>2</td>\n",
       "      <td>3.862025</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>4.664625</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.333333</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>5.541510</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>5.728025</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Ti  Iters           To  Iters2\n",
       "Tt  Dist %Async NP NS                                      \n",
       "0.0 1    0.0    2  2   1.999980    1.0  2241.666667     1.0\n",
       "                   10  2.000285    1.0  2241.666667     1.0\n",
       "                   20  1.999927    1.0  2241.666667     1.0\n",
       "                   40  2.000288    1.0  2242.000000     1.0\n",
       "                10 2   2.001407    1.0  2241.333333     1.0\n",
       "...                         ...    ...          ...     ...\n",
       "1.0 2    100.0  20 40  4.980324    1.0  2242.000000     1.0\n",
       "                40 2   3.862025    1.0  2242.000000     1.0\n",
       "                   10  4.664625    1.0  2241.333333     1.0\n",
       "                   20  5.541510    1.0  2241.666667     1.0\n",
       "                   40  5.728025    1.0  2241.666667     1.0\n",
       "\n",
       "[288 rows x 4 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO EJECUCCION\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.302 Asíncrono\n",
      "EX numC= 10 p = 0.0 Diff = 0.434 Asíncrono\n",
      "EX numC= 20 p = 0.0 Diff = 0.467 Asíncrono\n",
      "Para  10  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.458 Asíncrono\n",
      "EX numC= 10 p = 0.034 Diff = 0.072 Asíncrono\n",
      "EX numC= 20 p = 0.025 Diff = 0.117 Asíncrono\n",
      "Para  20  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.488 Asíncrono\n",
      "EX numC= 20 p = 0.043 Diff = 0.224 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 1.514 Síncrono\n",
      "Para  40  padres\n",
      "EX numC= 2 p = 0.006 Diff = 0.786 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.678 Síncrono\n",
      "EX numC= 20 p = 0.0 Diff = 1.737 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 2.866 Síncrono\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "EX numC= 2 p = 0.001 Diff = 0.324 Asíncrono\n",
      "EX numC= 10 p = 0.001 Diff = 0.422 Asíncrono\n",
      "EX numC= 40 p = 0.046 Diff = 0.301 Asíncrono\n",
      "Para  10  padres\n",
      "EX numC= 2 p = 0.001 Diff = 0.348 Asíncrono\n",
      "EX numC= 10 p = 0.04 Diff = 0.152 Síncrono\n",
      "EX numC= 20 p = 0.001 Diff = 1.532 Síncrono\n",
      "EX numC= 40 p = 0.001 Diff = 1.496 Síncrono\n",
      "Para  20  padres\n",
      "EX numC= 2 p = 0.02 Diff = 0.945 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.732 Síncrono\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if sys.path[0] == '':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:13: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EX numC= 20 p = 0.003 Diff = 2.748 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 1.931 Síncrono\n",
      "Para  40  padres\n",
      "EX numC= 2 p = 0.04 Diff = 0.636 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.818 Síncrono\n",
      "EX numC= 20 p = 0.0 Diff = 2.432 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 2.902 Síncrono\n",
      "SINC: 18 || ASINC: 14\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO EJECUCCION\")\n",
    "sinc = 0\n",
    "asinc = 0\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                group = str(numP) + \",\" + str(numC)\n",
    "                v1 = dfG[(dfG[\"%Async\"] == 0.0)][(dfG.Groups == group)][(dfG[\"Dist\"] == dist_v)]['TE']\n",
    "                v2 = dfG[(dfG[\"%Async\"] == 100.0)][(dfG.Groups == group)][(dfG[\"Dist\"] == dist_v)]['TE']\n",
    "                res = stats.ttest_ind(v1, v2)\n",
    "                diff = grouped_aggG['TE'].loc[(dist_v, 0.0, group)] - grouped_aggG['TE'].loc[(dist_v, 100.0, group)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                    asinc+=1\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                    sinc+=1\n",
    "                    \n",
    "                if res[1] < p_value:\n",
    "                    print(\"EX numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,3)), mejor)\n",
    "print(\"SINC: \" + str(sinc) + \" || ASINC: \" + str(asinc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO MALLEABILITY\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.686 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.572 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 1.508 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 1.698 Síncrono\n",
      "Para  10  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.589 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.928 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 1.891 Síncrono\n",
      "TR numC= 40 p = 0.005 Diff = 2.69 Síncrono\n",
      "Para  20  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.525 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 2.013 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 2.244 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.538 Síncrono\n",
      "Para  40  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.815 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.669 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 3.853 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 4.887 Síncrono\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.683 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.581 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 2.01 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 1.736 Síncrono\n",
      "Para  10  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.653 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 2.145 Síncrono\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:9: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if __name__ == '__main__':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TR numC= 20 p = 0.0 Diff = 3.5 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.493 Síncrono\n",
      "Para  20  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.971 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.742 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 4.677 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.971 Síncrono\n",
      "Para  40  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.675 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.786 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 4.418 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 4.924 Síncrono\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO MALLEABILITY\")\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                v1 = dfM[(dfM[\"%Async\"] == 0.0)][(dfM.NP == numP)][(dfM.NS == numC)][(dfM[\"Dist\"] == dist_v)]['TS']\n",
    "                v2 = dfM[(dfM[\"%Async\"] == 100.0)][(dfM.NP == numP)][(dfM.NS == numC)][(dfM[\"Dist\"] == dist_v)]['TA']\n",
    "                res = stats.ttest_ind(v1, v2)\n",
    "                diff = grouped_aggM['TS'].loc[(dist_v, 0.0, numP, numC)] - grouped_aggM['TA'].loc[(dist_v, 100.0, numP, numC)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                if res[1] < p_value:\n",
    "                    print(\"TR numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,3)), mejor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO Iters\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "Para  10  padres\n",
      "Para  20  padres\n",
      "Ti numC= 20 p = 0.014 Diff = 0.3159 Síncrono\n",
      "Ti numC= 40 p = 0.0 Diff = 2.1203 Síncrono\n",
      "Para  40  padres\n",
      "Ti numC= 2 p = 0.002 Diff = 1.5824 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.3873 Síncrono\n",
      "Ti numC= 20 p = 0.0 Diff = 2.5714 Síncrono\n",
      "Ti numC= 40 p = 0.005 Diff = 3.8153 Síncrono\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if sys.path[0] == '':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:13: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ti numC= 20 p = 0.007 Diff = 0.6198 Síncrono\n",
      "Ti numC= 40 p = 0.006 Diff = 0.7004 Síncrono\n",
      "Para  10  padres\n",
      "Ti numC= 10 p = 0.023 Diff = 0.231 Síncrono\n",
      "Ti numC= 20 p = 0.0 Diff = 2.163 Síncrono\n",
      "Ti numC= 40 p = 0.002 Diff = 2.1709 Síncrono\n",
      "Para  20  padres\n",
      "Ti numC= 2 p = 0.004 Diff = 2.0084 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.477 Síncrono\n",
      "Ti numC= 20 p = 0.013 Diff = 3.3594 Síncrono\n",
      "Ti numC= 40 p = 0.001 Diff = 2.9773 Síncrono\n",
      "Para  40  padres\n",
      "Ti numC= 2 p = 0.004 Diff = 1.8585 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.6598 Síncrono\n",
      "Ti numC= 20 p = 0.003 Diff = 3.5383 Síncrono\n",
      "Ti numC= 40 p = 0.002 Diff = 3.7241 Síncrono\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO Iters\")\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                #exp = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == 1)][(dfL[\"%Async\"] == 0.0)][(dfL.NP == numP)][(dfL.NS == numC)]\n",
    "                #TimeOp = exp['Ti'] \n",
    "                #print(TimeOp)\n",
    "                v1 = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == 100.0)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti']\n",
    "                v2 = dfL[(dfL[\"Tt\"] == 1)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == 100.0)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti']\n",
    "                res = stats.ttest_ind(v1, v2, equal_var = False)\n",
    "                diff = grouped_aggL['Ti'].loc[(0, dist, 100.0, numP, numC)] - grouped_aggL['Ti'].loc[(1, dist, 100.0, numP, numC)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                if res[1] < p_value:\n",
    "                    #and abs(diff) > grouped_aggL['Ti'].loc[(0, dist, 0.0, numP, numC)]\n",
    "                    print(\"Ti numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,4)), mejor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10.0\n"
     ]
    }
   ],
   "source": [
    "auxIter = pd.DataFrame(dfM['Iters'].str.split(',',1).tolist(),columns = ['Iters0','Iters1'])\n",
    "auxIter['Iters1'] = pd.to_numeric(auxIter['Iters1'], errors='coerce')\n",
    "iters = auxIter['Iters1'].mean()\n",
    "print(iters)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.319\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.431\n",
      "NC=20 Es mejor Asíncrono con una diff de 0.494\n",
      "NC=40 Es mejor Asíncrono con una diff de 0.307\n",
      "Para  10  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.415\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.075\n",
      "NC=20 Es mejor Asíncrono con una diff de 0.112\n",
      "NC=40 Es mejor Síncrono con una diff de 0.685\n",
      "Para  20  padres\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:14: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NC=2 Es mejor Asíncrono con una diff de 0.479\n",
      "NC=10 Es mejor Síncrono con una diff de 0.01\n",
      "NC=20 Es mejor Síncrono con una diff de 0.241\n",
      "NC=40 Es mejor Síncrono con una diff de 1.533\n",
      "Para  40  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.811\n",
      "NC=10 Es mejor Síncrono con una diff de 1.665\n",
      "NC=20 Es mejor Síncrono con una diff de 1.85\n",
      "NC=40 Es mejor Síncrono con una diff de 2.882\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.319\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.421\n",
      "NC=20 Es mejor Síncrono con una diff de 0.005\n",
      "NC=40 Es mejor Asíncrono con una diff de 0.287\n",
      "Para  10  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.349\n",
      "NC=10 Es mejor Síncrono con una diff de 0.143\n",
      "NC=20 Es mejor Síncrono con una diff de 1.495\n",
      "NC=40 Es mejor Síncrono con una diff de 1.471\n",
      "Para  20  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.969\n",
      "NC=10 Es mejor Síncrono con una diff de 1.741\n",
      "NC=20 Es mejor Síncrono con una diff de 2.673\n",
      "NC=40 Es mejor Síncrono con una diff de 1.948\n",
      "Para  40  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.673\n",
      "NC=10 Es mejor Síncrono con una diff de 1.784\n",
      "NC=20 Es mejor Síncrono con una diff de 2.414\n",
      "NC=40 Es mejor Síncrono con una diff de 2.901\n"
     ]
    }
   ],
   "source": [
    "#iters = dfM['Iters'].mean()\n",
    "resultados = [0,0]\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                Titer = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == dist)][(dfL.NP == numC)]['Ti'].mean() #Tiempo por iteracion\n",
    "                i=0\n",
    "                for adr in [0.0, 100.0]:\n",
    "                \n",
    "                    auxExp = dfM[(dfM[\"Dist\"] == dist_v)][(dfM[\"%Async\"] == adr)][(dfM.NP == numP)][(dfM.NS == numC)]\n",
    "                    Tr = auxExp['TS'].mean() + auxExp['TA'].mean() #Tiempo de redistribucion\n",
    "                    M_it = dfL[(dfL[\"Tt\"] == 1)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == adr)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti'].count()/3 #Iteraciones asincronas\n",
    "                    #No se presupone una diferencia temporal entre iteraciones normales y asincronas\n",
    "                    if(M_it > iters):\n",
    "                        M_it = iters\n",
    "                    resultados[i] = (iters - M_it) * Titer + Tr\n",
    "                    i+=1\n",
    "\n",
    "                if resultados[0] > resultados[1]:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                diff = abs(round(resultados[0] - resultados[1], 3))\n",
    "                print(\"NC=\"+ str(numC) + \" Es mejor \" + mejor + \" con una diff de \"+  str(diff))\n",
    "                #TODO Comprobar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de aquí se muestran gráficos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:36: FutureWarning: set_axis currently defaults to operating inplace.\n",
      "This will change in a future version of pandas, use inplace=True to avoid this warning.\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:53: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2.004239557189542, 2.004239557189542, 2.004239557189542, 2.004239557189542, 2.0036251519607844, 2.0036251519607844, 2.0036251519607844, 2.0036251519607844, 2.002774753267974, 2.002774753267974, 2.002774753267974, 2.002774753267974, 2.005220606209152, 2.005220606209152, 2.005220606209152, 2.005220606209152], [2.0022725473856204, 2.0022725473856204, 2.0022725473856204, 2.0022725473856204, 2.001913400326798, 2.001913400326798, 2.001913400326798, 2.001913400326798, 2.004655240196078, 2.004655240196078, 2.004655240196078, 2.004655240196078, 2.022560447712418, 2.022560447712418, 2.022560447712418, 2.022560447712418]]\n",
      "[[18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237], [18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764]]\n",
      "[[2.2410688, 2.3062218, 2.468473733333333, 3.3301869333333336, 2.280456066666667, 2.3505480000000003, 2.5847236, 4.577641933333332, 2.3539399999999997, 2.5580121333333334, 2.9396494000000004, 5.598332133333335, 4.115030933333334, 5.337849133333334, 5.795295933333334, 7.376744866666666], [2.254777466666667, 2.446265866666667, 3.6788176666666663, 3.7181029333333333, 2.391971066666667, 2.7959183333333333, 5.632910133333333, 5.649959533333334, 4.617978133333333, 5.5159481999999995, 6.815505333333333, 6.465458, 4.493721866666666, 5.688683466666667, 6.976852066666667, 7.276086066666666]]\n"
     ]
    }
   ],
   "source": [
    "#Reserva de memoria para las estructuras\n",
    "TP_data=[0]*2\n",
    "TH_data=[0]*2\n",
    "TM_data=[0]*2\n",
    "\n",
    "TP_A_data=[0]*2\n",
    "TH_A_data=[0]*2\n",
    "TM_A_data=[0]*2\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    \n",
    "    TP_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TH_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TM_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "    TP_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TH_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TM_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "# Obtencion de los grupos del dataframe necesarios\n",
    "\n",
    "#ACTUALMENTE NO SE DIFERENCIAN LOS TIEMPOS DE ITERACIONES DE PADRES E HIJOS CUANDO COINCIDE EL NUMERO DE PROCESOS\n",
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "    groupL_aux = dfL[dfL['Tt'] == 0].groupby(['NP'])['Ti']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "    groupL_aux = dfL[dfL['Tt'] == 0].groupby(['Dist', 'NP'])['Ti']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "grouped_aggL_aux = groupL_aux.agg(['mean'])\n",
    "grouped_aggL_aux.columns = grouped_aggL_aux.columns.get_level_values(0)\n",
    "grouped_aggL_aux.set_axis(['Ti'], axis='columns')\n",
    "\n",
    "#Calculo de los valores para las figuras\n",
    "#1=Best Fit\n",
    "#2=Worst Fit\n",
    "dist=1\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    i=0\n",
    "    r=0\n",
    "    for numP in values:\n",
    "        j=0\n",
    "        for numC in values:\n",
    "        \n",
    "            tc_real = grouped_aggM_aux.loc[(numP,numC,dist_v)]['mean']\n",
    "            for tipo in [0, 100]:\n",
    "                iters_aux=dfM[(dfM[\"NP\"] == numP)][(dfM[\"NS\"] == numC)][(dfM[\"Dist\"] == dist_v)][(dfM[\"%Async\"] == tipo)]['Iters'].head(1).tolist()[0].split(',')\n",
    "                itersP_aux = int(iters_aux[0])\n",
    "                itersS_aux = int(iters_aux[1])\n",
    "                iters_mal_aux = 0\n",
    "                if tipo != 0:\n",
    "                    iters_mal_aux = grouped_aggL['Iters'].loc[(1,dist,tipo,numP,numC)]\n",
    "            \n",
    "                t_iterP_aux = grouped_aggL_aux['Ti'].loc[(dist,numP)]\n",
    "                t_iterS_aux = grouped_aggL_aux['Ti'].loc[(dist,numC)]\n",
    "            \n",
    "            \n",
    "                p1 = t_iterP_aux * itersP_aux\n",
    "                p2 = t_iterS_aux * max((itersS_aux - iters_mal_aux),0)\n",
    "                \n",
    "                array_aux = grouped_aggM[['TS', 'TA']].loc[(dist_v,tipo,numP,numC)].tolist()\n",
    "                p3 = tc_real + array_aux[0] + array_aux[1]\n",
    "                \n",
    "                #Guardar datos\n",
    "                if tipo == 0:\n",
    "                    TP_data[dist_index][i*len(values) + j] = p1\n",
    "                    TH_data[dist_index][i*len(values) + j] = p2\n",
    "                    TM_data[dist_index][i*len(values) + j] = p3\n",
    "                else:\n",
    "                    TP_A_data[dist_index][i*len(values) + j] = p1\n",
    "                    TH_A_data[dist_index][i*len(values) + j] = p2\n",
    "                    TM_A_data[dist_index][i*len(values) + j] = p3\n",
    "            j+=1\n",
    "        i+=1\n",
    "print(TP_A_data)\n",
    "print(TH_A_data)\n",
    "print(TM_A_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "#for numP in values:\n",
    "\n",
    "    x = np.arange(len(labelsP_J))\n",
    "\n",
    "    width = 0.35\n",
    "    sumaTP_TM = np.add(TP_data[dist_index], TM_data[dist_index]).tolist()\n",
    "    sumaTP_TM_A = np.add(TP_A_data[dist_index], TM_A_data[dist_index]).tolist()\n",
    "\n",
    "    ax=f.add_subplot(111)\n",
    "\n",
    "    ax.bar(x+width/2, TP_data[dist_index], width, color='blue')\n",
    "    ax.bar(x+width/2, TM_data[dist_index], width, bottom=TP_data[dist_index],color='orange')\n",
    "    ax.bar(x+width/2, TH_data[dist_index], width, bottom=sumaTP_TM, color='green')\n",
    "\n",
    "    ax.bar(x-width/2, TP_A_data[dist_index], width, hatch=\"\\\\/...\", color='blue')\n",
    "    ax.bar(x-width/2, TM_A_data[dist_index], width, bottom=TP_A_data[dist_index], hatch=\"\\\\/...\", color='orange')\n",
    "    ax.bar(x-width/2, TH_A_data[dist_index], width, bottom=sumaTP_TM_A, hatch=\"\\\\/...\", color='green')\n",
    "\n",
    "    ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "    ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "    plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "    blue_Spatch = mpatches.Patch(color='blue', label='Parents SR')\n",
    "    orange_Spatch = mpatches.Patch(color='orange', label='Resize SR')\n",
    "    green_Spatch = mpatches.Patch(color='green', label='Children SR')\n",
    "    blue_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='blue', label='Parents AR')\n",
    "    orange_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Resize AR')\n",
    "    green_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='green', label='Children AR')\n",
    "\n",
    "\n",
    "    handles=[blue_Spatch,orange_Spatch,green_Spatch,blue_Apatch,orange_Apatch,green_Apatch]\n",
    "\n",
    "    plt.legend(handles=handles, loc='upper left', fontsize=21,ncol=2)\n",
    "    \n",
    "    ax.axvline((3.5), color='black')\n",
    "    ax.axvline((7.5), color='black')\n",
    "    ax.axvline((11.5), color='black')\n",
    "    \n",
    "    ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "    f.tight_layout()\n",
    "    f.savefig(\"Images/EX_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.22771280000000002, 0.2951758, 0.4574467333333334, 1.0065502666666666, 0.2709764, 0.34524099999999996, 0.5523862666666667, 1.2616349333333332, 0.30655166666666667, 0.3979708, 0.6218607333333335, 1.4430508000000004, 0.5012709333333334, 0.9097184666666666, 1.1726962666666667, 1.4802842], [0.25073213333333333, 0.4431558666666667, 1.055341, 1.0189312666666666, 0.32123673333333336, 0.5652076666666667, 1.4103254666666665, 1.4033898666666669, 0.5978951333333333, 1.0128365333333333, 1.3475629999999998, 1.417449, 0.6253302000000001, 0.9833484666666668, 1.3360994, 1.4645820666666665]]\n",
      "[[0.22771280000000002, 0.2951758, 0.4574467333333334, 1.0065502666666666, 0.2709764, 0.34524099999999996, 0.5523862666666667, 1.2616349333333332, 0.30655166666666667, 0.3979708, 0.6218607333333335, 1.4430508000000004, 0.5012709333333334, 0.9097184666666666, 1.1726962666666667, 1.4802842], [0.25073213333333333, 0.4431558666666667, 1.055341, 1.0189312666666666, 0.32123673333333336, 0.5652076666666667, 1.4103254666666665, 1.4033898666666669, 0.5978951333333333, 1.0128365333333333, 1.3475629999999998, 1.417449, 0.6253302000000001, 0.9833484666666668, 1.3360994, 1.4645820666666665]]\n"
     ]
    }
   ],
   "source": [
    "#Reserva de memoria para las estructuras\n",
    "TC_data=[0]*2\n",
    "TS_data=[0]*2\n",
    "TA_data=[0]*2\n",
    "\n",
    "TC_A_data=[0]*2\n",
    "TS_A_data=[0]*2\n",
    "TA_A_data=[0]*2\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "\n",
    "    TC_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TS_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TA_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "    TC_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TS_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TA_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "#FIXME El TC actual no es la media de todos los del mismo tipo\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "dist=1\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    i=0\n",
    "    r=0\n",
    "    for numP in values:\n",
    "        j=0\n",
    "        for numC in values:\n",
    "        \n",
    "            test_tc_real = grouped_aggM_aux.loc[(numP,numC,dist_v)]['mean']\n",
    "        #print(test_tc_real)\n",
    "            for tipo in [0, 100]:\n",
    "            \n",
    "                test=grouped_aggM.loc[(dist_v,tipo,numP,numC)][['TS', 'TA']]\n",
    "                test=test.tolist()\n",
    "                    \n",
    "                if tipo == 0:\n",
    "                    TC_data[dist_index][i*len(values) + j] = test_tc_real\n",
    "                    TS_data[dist_index][i*len(values) + j] = test[0] \n",
    "                    TA_data[dist_index][i*len(values) + j] = 0\n",
    "                else:\n",
    "                    TC_A_data[dist_index][i*len(values) + j] = test_tc_real\n",
    "                    TS_A_data[dist_index][i*len(values) + j] = test[0]\n",
    "                    TA_A_data[dist_index][i*len(values) + j] = test[1]\n",
    "            j+=1\n",
    "        i+=1\n",
    "                    \n",
    "                    \n",
    "##########################\n",
    "\n",
    "print(TC_data)\n",
    "print(TC_A_data)\n",
    "#print(TS_data)\n",
    "#print(TA_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "\n",
    "    x = np.arange(len(labelsP_J))\n",
    "    width = 0.35\n",
    "    sumaTC_TS_A = np.add(TC_A_data[dist_index], TS_A_data[dist_index]).tolist()\n",
    "\n",
    "    ax=f.add_subplot(111)\n",
    "\n",
    "    ax.bar(x+width/2, TC_data[dist_index], width, color='chocolate')\n",
    "    ax.bar(x+width/2, TS_data[dist_index], width, bottom=TC_data[dist_index], color='purple')\n",
    "\n",
    "    ax.bar(x-width/2, TC_A_data[dist_index], width, hatch=\"\\\\/...\", color='chocolate')\n",
    "    ax.bar(x-width/2, TS_A_data[dist_index], width, bottom=TC_A_data[dist_index], hatch=\"\\\\/...\", color='purple')\n",
    "    ax.bar(x-width/2, TA_A_data[dist_index], width, bottom=sumaTC_TS_A, hatch=\"\\\\/...\", color='red')\n",
    "\n",
    "    ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "    ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "    plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "    labels = ['Spawn', 'Synchronous Comm', 'Asynchronous Comm']\n",
    "    brown_Spatch = mpatches.Patch(color='chocolate', label='Spawn')\n",
    "    purple_Spatch = mpatches.Patch(color='purple', label='Synchronous Comm')\n",
    "    brown_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='chocolate', label='Spawn')\n",
    "    red_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='red', label='Asynchronous Comm')\n",
    "\n",
    "    handles=[(brown_Spatch, brown_Apatch),purple_Spatch,red_Apatch]\n",
    "\n",
    "    plt.legend(handles=handles, labels=labels, loc='upper center', fontsize=24, ncol=1, handler_map={tuple: HandlerTuple(ndivide=None)})\n",
    "#bbox_to_anchor=(1, 0.5) --> Para sacar fuera de la grafica la leyenda\n",
    "\n",
    "    ax.axvline((3.5), color='black')\n",
    "    ax.axvline((7.5), color='black')\n",
    "    ax.axvline((11.5), color='black')\n",
    "    \n",
    "    ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "    f.tight_layout()\n",
    "    f.savefig(\"Images/Malt_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "j = 0\n",
    "f=plt.figure(figsize=(20, 12))\n",
    "    \n",
    "ax=f.add_subplot(111)\n",
    "grouped_aggM_aux.unstack().plot(kind='bar', color=['b', 'g'], ax=ax) \n",
    "ax.set_ylabel(\"Time (s)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NS\", fontsize=20)\n",
    "ax.legend([\"Best Fit\", \"Worst Fit\"], fontsize=30);\n",
    "\n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "ax.axvline((15.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/TCR_Tiempo_Barras.png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Para Tipo = 1\n",
      "Para Tipo = 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(1,3):\n",
    "    print(\"Para Tipo = \" + str(i))\n",
    "    \n",
    "    j = 0\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "    numC =2 \n",
    "    for numP in values:\n",
    "\n",
    "        ax=f.add_subplot(positions[j])\n",
    "        \n",
    "        t_par = grouped_aggL['Ti'].loc[(0,i,100,numP,slice(None))].mean()\n",
    "        grouped_aggL['Ti'].loc[(1,i,100,numP,slice(None))].plot(kind='bar',color='green', ax=ax) \n",
    "        \n",
    "        ax.axhline(y=t_par, xmin=0, xmax=1, color='purple')\n",
    "        ax.set_ylabel(\"Time (s)\", fontsize=20)\n",
    "        ax.set_xlabel(\"NP,NS\", fontsize=20)\n",
    "        ax.tick_params(axis='both', which='major', labelsize=18)\n",
    "        ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "        \n",
    "        locs, labels_aux = plt.xticks()\n",
    "        plt.xticks(locs, labels=labelsP[j], rotation=90)\n",
    "        \n",
    "        \n",
    "        blue_patch = mpatches.Patch(color='green', label='Malleable iteration')\n",
    "        handles=[blue_patch]\n",
    "        plt.legend(handles=handles, loc='lower left', fontsize=12)\n",
    "        \n",
    "        f.tight_layout()\n",
    "        f.savefig(\"Images/Iter_type=\"+dist_names[i]+\"_Perc_type=\"+str(100)+\".png\", format=\"png\")\n",
    "        j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['N', '%Async', 'Groups', 'Dist', 'Matrix', 'CommTam', 'Time', 'Iters',\n",
       "       'TE', 'S'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfG.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=plt.figure(figsize=(18, 10))\n",
    "#for numP in values:\n",
    "\n",
    "x = np.arange(len(labelsP_J))\n",
    "\n",
    "width = 0.4\n",
    "middle = 0\n",
    "ax=f.add_subplot(111)\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    sumaTP_TM = np.add(TP_data[dist_index], TM_data[dist_index])\n",
    "    bar_res = np.add(sumaTP_TM, TH_data[dist_index])\n",
    "\n",
    "    sumaTP_TM_A = np.add(TP_A_data[dist_index], TM_A_data[dist_index])\n",
    "    sumaTP_TM_A = np.add(sumaTP_TM_A, TH_A_data[dist_index])\n",
    "    \n",
    "    bar_res = np.divide(bar_res, sumaTP_TM_A)\n",
    "    bar_res = (bar_res-1)*100\n",
    "\n",
    "    supper = np.ma.masked_where(bar_res < middle, bar_res)\n",
    "    slower = np.ma.masked_where(bar_res > middle, bar_res)\n",
    "\n",
    "    plt.ylim(min(bar_res)-0.1, max(bar_res)+1) #FIXME Error cuando el max o min de dist=1 es mayor que el de dist=2\n",
    "\n",
    "    offset = -width/2 # Best Fit\n",
    "    patch = \"\"\n",
    "    if dist == 2:\n",
    "        offset = (width/2) # Worst Fit\n",
    "        patch = \"\\\\/...\"\n",
    "        \n",
    "    ax.bar(x+offset, supper, width, color=\"orange\", hatch=patch)\n",
    "    ax.bar(x+offset, slower, width, color=\"cyan\", hatch=patch)\n",
    "\n",
    "\n",
    "ax.set_ylabel(\"Porcentual difference(%)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "\n",
    "orange_Bf_patch = mpatches.Patch(facecolor='orange', label='Best Fit AC Improvement')\n",
    "blue_Bf_patch = mpatches.Patch(facecolor='cyan', label='Best Fit SC Improvement')\n",
    "orange_Wf_patch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Worst Fit AC Improvement')\n",
    "blue_Wf_patch = mpatches.Patch(hatch='\\\\/...', facecolor='cyan', label='Worst Fit SC Improvement')\n",
    "handles=[orange_Bf_patch, blue_Bf_patch, orange_Wf_patch, blue_Wf_patch]\n",
    "plt.legend(handles=handles, loc='upper left', fontsize=24)\n",
    "\n",
    "ax.axhline((middle), color='black')\n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/EX_Difference.png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "only size-1 arrays can be converted to Python scalars",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-55-7dbc64f9e334>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m111\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTP_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhatch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"O\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'blue'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTM_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhatch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"O\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbottom\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTP_data\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTH_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhatch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"O\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbottom\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msumaTP_TM\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'green'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1599\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0minner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1600\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1601\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msanitize_sequence\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1602\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1603\u001b[0m         \u001b[0mbound\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_sig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mbar\u001b[0;34m(self, x, height, width, bottom, align, **kwargs)\u001b[0m\n\u001b[1;32m   2428\u001b[0m                 \u001b[0medgecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2429\u001b[0m                 \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlw\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2430\u001b[0;31m                 \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'_nolegend_'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2431\u001b[0m                 )\n\u001b[1;32m   2432\u001b[0m             \u001b[0mr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/matplotlib/patches.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, xy, width, height, angle, **kwargs)\u001b[0m\n\u001b[1;32m    705\u001b[0m         \"\"\"\n\u001b[1;32m    706\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 707\u001b[0;31m         \u001b[0mPatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    709\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_x0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxy\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/matplotlib/patches.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, edgecolor, facecolor, color, linewidth, linestyle, antialiased, hatch, fill, capstyle, joinstyle, **kwargs)\u001b[0m\n\u001b[1;32m     87\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_fill\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfill\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_linestyle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlinestyle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 89\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_linewidth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlinewidth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     90\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_antialiased\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mantialiased\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_hatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/matplotlib/patches.py\u001b[0m in \u001b[0;36mset_linewidth\u001b[0;34m(self, w)\u001b[0m\n\u001b[1;32m    366\u001b[0m                 \u001b[0mw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'axes.linewidth'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    367\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 368\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_linewidth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    369\u001b[0m         \u001b[0;31m# scale the dash pattern by the linewidth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    370\u001b[0m         \u001b[0moffset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_us_dashes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: only size-1 arrays can be converted to Python scalars"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=plt.figure(figsize=(20, 12))\n",
    "#for numP in values:\n",
    "\n",
    "x = np.arange(len(labelsP_J))\n",
    "\n",
    "width = 0.4/2\n",
    "sumaTP_TM = np.add(TP_data, TM_data).tolist()\n",
    "sumaTP_TM_A = np.add(TP_A_data, TM_A_data).tolist()\n",
    "\n",
    "ax=f.add_subplot(111)\n",
    "\n",
    "ax.bar(x+width/2, TP_data, width, hatch=\"O\", color='blue')\n",
    "ax.bar(x+width/2, TM_data, width, hatch=\"O\", bottom=TP_data,color='orange')\n",
    "ax.bar(x+width/2, TH_data, width, hatch=\"O\", bottom=sumaTP_TM, color='green')\n",
    "\n",
    "ax.bar(x+width*1.5, TP_data, width, hatch=\"+O\",color='blue')\n",
    "ax.bar(x+width*1.5, TM_data, width, hatch=\"+O\",bottom=TP_data,color='orange')\n",
    "ax.bar(x+width*1.5, TH_data, width, hatch=\"+O\",bottom=sumaTP_TM, color='green')\n",
    "\n",
    "ax.bar(x-width/2, TP_A_data, width, hatch=\"\\\\/...\", color='blue')\n",
    "ax.bar(x-width/2, TM_A_data, width, bottom=TP_A_data, hatch=\"\\\\/...\", color='orange')\n",
    "ax.bar(x-width/2, TH_A_data, width, bottom=sumaTP_TM_A, hatch=\"\\\\/...\", color='green')\n",
    "\n",
    "ax.bar(x-width*1.5, TP_A_data, width, hatch=\"X\", color='blue')\n",
    "ax.bar(x-width*1.5, TM_A_data, width, bottom=TP_A_data, hatch=\"X\", color='orange')\n",
    "ax.bar(x-width*1.5, TH_A_data, width, bottom=sumaTP_TM_A, hatch=\"X\", color='green')\n",
    "\n",
    "ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "blue_Spatch = mpatches.Patch(color='blue', label='Parents SC')\n",
    "orange_Spatch = mpatches.Patch(color='orange', label='Resize SC')\n",
    "green_Spatch = mpatches.Patch(color='green', label='Children SC')\n",
    "blue_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='blue', label='Parents AC')\n",
    "orange_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Resize AC')\n",
    "green_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='green', label='Children AC')\n",
    "\n",
    "\n",
    "handles=[blue_Spatch,orange_Spatch,green_Spatch,blue_Apatch,orange_Apatch,green_Apatch]\n",
    "\n",
    "plt.legend(handles=handles, loc='upper right', fontsize=21)\n",
    "    \n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/EX_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}