Aconity_ML_Expt1/process_y_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read the excel file\n",
    "doe_df = pd.read_excel(\n",
    "    \"data/NiTi_Cubes_Analysis.xlsx\",\n",
    "    sheet_name=\"DOE & RSPNS\",\n",
    "    header=1,\n",
    "    usecols=\"A:M, T:AC\",\n",
    "    nrows=81,\n",
    ")\n",
    "# Remove newlines from column names\n",
    "doe_df.rename(\n",
    "    mapper=dict(zip(doe_df.keys(), (k.replace(\"\\n\", \" \") for k in doe_df.keys()))),\n",
    "    axis=1,\n",
    "    inplace=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "doe_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split the dataframe into a dictionary of dataframes, one for each sample\n",
    "sample_y = dict(iter(doe_df.groupby(\"Sample\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_y[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finally, pickle this data for use in experiments\n",
    "with open(\"sample_y.pkl\", \"wb\") as f:\n",
    "    pickle.dump(sample_y, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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>Sample</th>\n",
       "      <th>Laser power, P\\n(W)</th>\n",
       "      <th>Scan speed, V\\n(mm/sec)</th>\n",
       "      <th>Spot size, F\\n(µm)</th>\n",
       "      <th>Hatch spacing, H\\n(µm)</th>\n",
       "      <th>Surface Energy Density @ 90µm Layer thickness, El (J/mm2)</th>\n",
       "      <th>Surface Energy Density @ Spot size, EF (J/mm2)</th>\n",
       "      <th>Vol. Energy Density @ Hatch Spacing,  VEDH  (J/mm3)</th>\n",
       "      <th>Vol. Energy Density @ Spot Size, VEDF (J/mm3)</th>\n",
       "      <th>Density\\n(Archimedes by Acetone)</th>\n",
       "      <th>...</th>\n",
       "      <th>Ni</th>\n",
       "      <th>Ti</th>\n",
       "      <th>Oxygen</th>\n",
       "      <th>Carbon</th>\n",
       "      <th>Ni (Norm)</th>\n",
       "      <th>Ti (Norm)</th>\n",
       "      <th>Sa (um)</th>\n",
       "      <th>Sku</th>\n",
       "      <th>Ssk</th>\n",
       "      <th>Sz (um)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>180</td>\n",
       "      <td>1000</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>6.343695</td>\n",
       "      <td>...</td>\n",
       "      <td>41.33</td>\n",
       "      <td>43.76</td>\n",
       "      <td>1.1</td>\n",
       "      <td>13.81</td>\n",
       "      <td>48.5721</td>\n",
       "      <td>51.4279</td>\n",
       "      <td>18.686</td>\n",
       "      <td>3.243</td>\n",
       "      <td>0.28</td>\n",
       "      <td>187.116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sample  Laser power, P\\n(W)  Scan speed, V\\n(mm/sec)  Spot size, F\\n(µm)  \\\n",
       "0       1                  180                     1000                  40   \n",
       "\n",
       "   Hatch spacing, H\\n(µm)  \\\n",
       "0                      40   \n",
       "\n",
       "   Surface Energy Density @ 90µm Layer thickness, El (J/mm2)  \\\n",
       "0                                                2.0           \n",
       "\n",
       "   Surface Energy Density @ Spot size, EF (J/mm2)  \\\n",
       "0                                             4.5   \n",
       "\n",
       "   Vol. Energy Density @ Hatch Spacing,  VEDH  (J/mm3)  \\\n",
       "0                                               50.0     \n",
       "\n",
       "   Vol. Energy Density @ Spot Size, VEDF (J/mm3)  \\\n",
       "0                                           50.0   \n",
       "\n",
       "   Density\\n(Archimedes by Acetone)  ...     Ni     Ti  Oxygen  Carbon  \\\n",
       "0                          6.343695  ...  41.33  43.76     1.1   13.81   \n",
       "\n",
       "   Ni (Norm)  Ti (Norm)  Sa (um)    Sku   Ssk  Sz (um)  \n",
       "0    48.5721    51.4279   18.686  3.243  0.28  187.116  \n",
       "\n",
       "[1 rows x 23 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_y[1]"
   ]
  }
 ],
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