notebooks/2c.LoadPredictionsFromCSV.ipynb

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   "source": [
    "import pandas\n",
    "\n",
    "STRUCTURE_FILE = input(\n",
    "    \"Structure File: Filename of the CSV holding structure predictions in the data directory to load\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pandas.read_pickle(f\"../data/data_rdatOnly.pkl\")\n",
    "structs = pandas.read_csv(f'../data/{STRUCTURE_FILE}')\n",
    "\n",
    "merged = df.merge(structs[[col for col in structs.columns if col.endswith('_PRED') or col.endswith('_time') or col == 'sequence']], on=['sequence'])\n",
    "\n",
    "merged.to_pickle(\"../data/data+predictions.pkl\")"
   ]
  }
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