py-data-analysis/Experimental_Analysis.ipynb

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   "source": [
    "# Experimental Data-Analysis "
   ]
  },
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     "text": [
      "Collecting pandas\n",
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      "Installing collected packages: pytz, tzdata, numpy, pandas\n",
      "Successfully installed numpy-2.3.3 pandas-2.3.3 pytz-2025.2 tzdata-2025.2\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
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   ],
   "source": [
    "pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5bbeed9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import  pandas      as      pd\n",
    "from    pathlib     import  Path\n",
    "from    dataclasses import  dataclass\n",
    "\n",
    "class   Experimento:\n",
    "    def __init__(self, volt_iny, volt_elec, corr_elec, resistencia):\n",
    "        self.volt_iny    =   volt_iny\n",
    "        self.volt_elec   =   volt_elec\n",
    "        self.corr_elec   =   corr_elec\n",
    "        self.resistencia =   resistencia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "12b2d8f0",
   "metadata": {},
   "outputs": [
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     "name": "stdout",
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     "text": [
      "The min value of the exp_1 are: 0.6 V, length: 77\n",
      "The min value of the exp_2 are: 0.3 V, length: 85\n"
     ]
    }
   ],
   "source": [
    "\n",
    "path_1  =   Path(\"/home/mgph/Desktop/?/MAESTRIA/HYDROGEN_PROJ/Data/Experimental-Data/EXP-A_20250917_163949.csv\")    # Path for the experiment 20250917\n",
    "path_2  =   Path(\"/home/mgph/Desktop/?/MAESTRIA/HYDROGEN_PROJ/Data/Experimental-Data/EXP-A_20250922_100524.csv\")     # Path for the experiment 20250922\n",
    "# Import the experiment \"20250917\"\n",
    "df_1    =   pd.read_csv(path_1, encoding=\"latin-1\")\n",
    "# Import the experiment \"20250922\"\n",
    "df_2    =   pd.read_csv(path_2, encoding=\"latin-1\")\n",
    "#df_1.head() \n",
    "#df_1.head()\n",
    "\n",
    "cols_extract    =   [\"Voltaje Inyectado (V)\", \"Voltaje Electrodos (V)\", \"Corriente Electrodos (A)\", \"Resistencia\"]\n",
    "dt_exp1         =   df_1[cols_extract].copy()\n",
    "dt_exp2         =   df_2[cols_extract].copy()\n",
    "\n",
    "exp_1   =   Experimento(\n",
    "    volt_iny    =   dt_exp1[\"Voltaje Inyectado (V)\"], \n",
    "    volt_elec   =   dt_exp1[\"Voltaje Electrodos (V)\"],\n",
    "    corr_elec   =   dt_exp1[\"Corriente Electrodos (A)\"],\n",
    "    resistencia =   dt_exp1[\"Resistencia\"],\n",
    ")\n",
    "\n",
    "exp_2   =   Experimento(\n",
    "    volt_iny    =   dt_exp2[\"Voltaje Inyectado (V)\"], \n",
    "    volt_elec   =   dt_exp2[\"Voltaje Electrodos (V)\"],\n",
    "    corr_elec   =   dt_exp2[\"Corriente Electrodos (A)\"],\n",
    "    resistencia =   dt_exp2[\"Resistencia\"],\n",
    ")\n",
    "\n",
    "min_val_exp1    =   min(exp_1.volt_iny)\n",
    "min_val_exp2    =   min(exp_2.volt_iny)\n",
    "\n",
    "print(f\"The min value of the exp_1 are: {min_val_exp1} V, length: {len(exp_1.volt_iny)}\")\n",
    "print(f\"The min value of the exp_2 are: {min_val_exp2} V, length: {len(exp_2.volt_iny)}\")"
   ]
  }
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