building-las-issue.ipynb

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     "text": [
      "0.22\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import lasio\n",
    "print(lasio.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\n",
    "    'curve1': [1, 2, 3, 4],\n",
    "    'curve2': [10, 20, 30, 4]\n",
    "})"
   ]
  },
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   "cell_type": "code",
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   "metadata": {},
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    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>curve1</th>\n",
       "      <th>curve2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   curve1  curve2\n",
       "0       1      10\n",
       "1       2      20\n",
       "2       3      30\n",
       "3       4       4"
      ]
     },
     "execution_count": 3,
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   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['curve1', 'curve2'], dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mnemonic  Unit  Value  Description  \n",
      "--------  ----  -----  -----------  \n",
      "curve1                              \n",
      "curve2                              \n",
      "UNKNOWN                             \n",
      "\n",
      "Curve data\n",
      "[0 1 2 3]\n",
      "[1 2 3 4]\n",
      "[10 20 30  4]\n"
     ]
    }
   ],
   "source": [
    "las = lasio.LASFile()\n",
    "\n",
    "las.set_data(df, names=list(df.columns))\n",
    "\n",
    "print(las.curves)\n",
    "\n",
    "print('\\nCurve data')\n",
    "for curve in las.curves:\n",
    "    print(curve.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly an error due to the inclusion of the DataFrame index?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mnemonic  Unit  Value  Description  \n",
      "--------  ----  -----  -----------  \n",
      "curve1                              \n",
      "curve2                              \n",
      "\n",
      "Curve data\n",
      "[1 2 3 4]\n",
      "[10 20 30  4]\n"
     ]
    }
   ],
   "source": [
    "las = lasio.LASFile()\n",
    "\n",
    "las.set_data(df.values, names=list(df.columns))\n",
    "\n",
    "print(las.curves)\n",
    "\n",
    "print('\\nCurve data')\n",
    "for curve in las.curves:\n",
    "    print(curve.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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