examples/Notebooks/flopy3_SFR2_load.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FloPy\n",
    "\n",
    "### Load a SFR2 dataset and querying SFR2 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.8.6 | packaged by conda-forge | (default, Oct  7 2020, 18:42:56) \n",
      "[Clang 10.0.1 ]\n",
      "flopy version: 3.3.3\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "\n",
    "# run installed version of flopy or add local path\n",
    "try:\n",
    "    import flopy\n",
    "except:\n",
    "    fpth = os.path.abspath(os.path.join('..', '..'))\n",
    "    sys.path.append(fpth)\n",
    "    import flopy\n",
    "\n",
    "print(sys.version)\n",
    "print('flopy version: {}'.format(flopy.__version__))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a model instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = flopy.modflow.Modflow()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['# SFR2 Package input file for hypothetical test simulation\\n',\n",
       " '# Test of SFR2 Package; revised October 1, 2011\\n',\n",
       " '# Example for using keyword options\\n',\n",
       " '# Stress period inflow rates are now specified in testsfr2_tab.tab TRANSROUTE\\n',\n",
       " 'REACHINPUT \\n',\n",
       " 'TABFILES 1 50\\n',\n",
       " ' 100  1  0  0  1.0  0.00001 -1 0 5 20 5 20  0  1  0.7 0.0001     Item 1: NSTRM NSS NSFRPAR NPARSEG CONST DLEAK ISTCB1 ISTCB2 {ISFROPT} {NSTRAIL} {ISUZN} {NSFRSETS}\\n',\n",
       " '       1      4       1      1      1   200.0 \\n',\n",
       " '       1      4       2      1      2   200.0 \\n',\n",
       " '       1      4       3      1      3   200.0 \\n',\n",
       " '       1      4       4      1      4   200.0 \\n',\n",
       " '       1      4       5      1      5   200.0 \\n',\n",
       " '       1      4       6      1      6   200.0 \\n',\n",
       " '       1      4       7      1      7   200.0 \\n',\n",
       " '       1      4       8      1      8   200.0 \\n',\n",
       " '       1      4       9      1      9   200.0 \\n',\n",
       " '       1      4      10      1     10   200.0 \\n',\n",
       " '       1      4      11      1     11   200.0 \\n',\n",
       " '       1      4      12      1     12   200.0 \\n',\n",
       " '       1      4      13      1     13   200.0 \\n',\n",
       " '       1      4      14      1     14   200.0 \\n',\n",
       " '       1      4      15      1     15   200.0 \\n',\n",
       " '       1      4      16      1     16   200.0 \\n',\n",
       " '       1      4      17      1     17   200.0 \\n',\n",
       " '       1      4      18      1     18   200.0 \\n',\n",
       " '       1      4      19      1     19   200.0 \\n',\n",
       " '       1      4      20      1     20   200.0 \\n',\n",
       " '       1      4      21      1     21   200.0  \\n',\n",
       " '       1      4      22      1     22   200.0  \\n',\n",
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       " '       1      4      25      1     25   200.0  \\n',\n",
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       " '       1      4      46      1     46   200.0 \\n',\n",
       " '       1      4      47      1     47   200.0 \\n',\n",
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       " '       1      4      87      1     87   200.0 \\n',\n",
       " '       1      4      88      1     88   200.0 \\n',\n",
       " '       1      4      89      1     89   200.0 \\n',\n",
       " '       1      4      90      1     90   200.0 \\n',\n",
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       " '       1      4     100      1    100   200.0 \\n',\n",
       " '1  0  0 0                                 Item 5: stress period 1\\n',\n",
       " '   1 2 0 0  .3 0.0   0.0  0.0 0.030 .04                 Item 6a:\\n',\n",
       " '  .00000035 0.5  140.  .3  .1  3.5  6.0e-6              Item 6b:\\n',\n",
       " '  .00000035 0.5  110.  .3  .1  3.5  6.0e-6              Item 6c:\\n',\n",
       " '0. 2. 4. 6. 8. 10. 12. 14.                              Item 6d:\\n',\n",
       " '6.0 4.5 3.5 0. 0.3 3.5 4.5 6.                           Item 6d:\\n',\n",
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       " ' ']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = os.path.join('..', 'data', 'mf2005_test', 'testsfr2_tab_ICALC2.sfr')\n",
    "stuff = open(f).readlines()\n",
    "stuff"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sfr = flopy.modflow.ModflowSfr2.load(f, m, nper=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys([0])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.segment_data.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the reach data in the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rec.array([(0, 0, 3,  0, 1,   1, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   1, 0),\n",
       "           (0, 0, 3,  1, 1,   2, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   2, 0),\n",
       "           (0, 0, 3,  2, 1,   3, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   3, 0),\n",
       "           (0, 0, 3,  3, 1,   4, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   4, 0),\n",
       "           (0, 0, 3,  4, 1,   5, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   5, 0),\n",
       "           (0, 0, 3,  5, 1,   6, 200., 0., 0., 0., 0., 0., 0., 0., 0.,   6, 0),\n",
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       "           (0, 0, 3, 91, 1,  92, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  92, 0),\n",
       "           (0, 0, 3, 92, 1,  93, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  93, 0),\n",
       "           (0, 0, 3, 93, 1,  94, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  94, 0),\n",
       "           (0, 0, 3, 94, 1,  95, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  95, 0),\n",
       "           (0, 0, 3, 95, 1,  96, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  96, 0),\n",
       "           (0, 0, 3, 96, 1,  97, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  97, 0),\n",
       "           (0, 0, 3, 97, 1,  98, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  98, 0),\n",
       "           (0, 0, 3, 98, 1,  99, 200., 0., 0., 0., 0., 0., 0., 0., 0.,  99, 0),\n",
       "           (0, 0, 3, 99, 1, 100, 200., 0., 0., 0., 0., 0., 0., 0., 0., 100, 0)],\n",
       "          dtype=[('node', '<i8'), ('k', '<i8'), ('i', '<i8'), ('j', '<i8'), ('iseg', '<i8'), ('ireach', '<i8'), ('rchlen', '<f4'), ('strtop', '<f4'), ('slope', '<f4'), ('strthick', '<f4'), ('strhc1', '<f4'), ('thts', '<f4'), ('thti', '<f4'), ('eps', '<f4'), ('uhc', '<f4'), ('reachID', '<i8'), ('outreach', '<i8')])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.reach_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the channel flow data in the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.channel_flow_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the channel geometry data in the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {1: [[0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0],\n",
       "   [6.0, 4.5, 3.5, 0.0, 0.3, 3.5, 4.5, 6.0]]}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.channel_geometry_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query dataset 5 data in the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: [1, 0, 0, 0],\n",
       " 1: [-1, 0, 0, 0],\n",
       " 2: [-1, 0, 0, 0],\n",
       " 3: [-1, 0, 0, 0],\n",
       " 4: [-1, 0, 0, 0],\n",
       " 5: [-1, 0, 0, 0],\n",
       " 6: [-1, 0, 0, 0],\n",
       " 7: [-1, 0, 0, 0],\n",
       " 8: [-1, 0, 0, 0],\n",
       " 9: [-1, 0, 0, 0],\n",
       " 10: [-1, 0, 0, 0],\n",
       " 11: [-1, 0, 0, 0],\n",
       " 12: [-1, 0, 0, 0],\n",
       " 13: [-1, 0, 0, 0],\n",
       " 14: [-1, 0, 0, 0],\n",
       " 15: [-1, 0, 0, 0],\n",
       " 16: [-1, 0, 0, 0],\n",
       " 17: [-1, 0, 0, 0],\n",
       " 18: [-1, 0, 0, 0],\n",
       " 19: [-1, 0, 0, 0],\n",
       " 20: [-1, 0, 0, 0],\n",
       " 21: [-1, 0, 0, 0],\n",
       " 22: [-1, 0, 0, 0],\n",
       " 23: [-1, 0, 0, 0],\n",
       " 24: [-1, 0, 0, 0],\n",
       " 25: [-1, 0, 0, 0],\n",
       " 26: [-1, 0, 0, 0],\n",
       " 27: [-1, 0, 0, 0],\n",
       " 28: [-1, 0, 0, 0],\n",
       " 29: [-1, 0, 0, 0],\n",
       " 30: [-1, 0, 0, 0],\n",
       " 31: [-1, 0, 0, 0],\n",
       " 32: [-1, 0, 0, 0],\n",
       " 33: [-1, 0, 0, 0],\n",
       " 34: [-1, 0, 0, 0],\n",
       " 35: [-1, 0, 0, 0],\n",
       " 36: [-1, 0, 0, 0],\n",
       " 37: [-1, 0, 0, 0],\n",
       " 38: [-1, 0, 0, 0],\n",
       " 39: [-1, 0, 0, 0],\n",
       " 40: [-1, 0, 0, 0],\n",
       " 41: [-1, 0, 0, 0],\n",
       " 42: [-1, 0, 0, 0],\n",
       " 43: [-1, 0, 0, 0],\n",
       " 44: [-1, 0, 0, 0],\n",
       " 45: [-1, 0, 0, 0],\n",
       " 46: [-1, 0, 0, 0],\n",
       " 47: [-1, 0, 0, 0],\n",
       " 48: [-1, 0, 0, 0],\n",
       " 49: [-1, 0, 0, 0]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.dataset_5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the TABFILES dictionary in the SFR2 object to determine the TABFILES data in the SFR2 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: {'numval': 50, 'inuit': 55}}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.tabfiles_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfr.tabfiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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