{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1ab068f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"/tmp/jl_depmrX\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e64d7608",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    True\n",
       "1    True\n",
       "2    True\n",
       "Name: mip_sense, dtype: bool"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"mip_sense\"] == \"min\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b204b538",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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