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        "author": "Adam Erispaha",
        "author_email": "aerispaha@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6"
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        "description": "# sewergraph\n*v0.1.2*\n\n[![Build status](https://ci.appveyor.com/api/projects/status/tjxw4f4vhm79v3fu/branch/master?svg=true)](https://ci.appveyor.com/project/aerispaha/sewergraph/branch/master)\n[![Build Status](https://travis-ci.com/aerispaha/sewergraph.svg?branch=master)](https://travis-ci.com/aerispaha/sewergraph)\n\nBuilding upon Networkx, this package provides tools for analysis and manipulation\nof sewer network data.\n\n## Goals\nProvide graph functions to tackle analytical problems typical in sewer\ncollections systems:  \n- traverse sewer networks up/downstream\n- accumulation calculations\n- downstream choke-point analysis\n- data gap handling (within reason, folks)\n- design capacity analysis\n\n## Installation\nInspired by [osmnx](https://github.com/gboeing/osmnx), sewergraph depends on [Networkx](https://github.com/networkx/networkx) and [Pandas](https://pandas.pydata.org/). For most use cases, installation is easy:\n```bash\n$ pip install sewergraph\n```\n\nAdditional functionality is provided that makes use of [GeoPandas](https://github.com/geopandas/geopandas),\nscipy and Shapely. It's recommended to install GeoPandas with conda first, then install\nsewergraph via pip:\n\n```bash\n$ conda install geopandas\n$ pip install sewergraph\n```\nIf you have ArcMap installed, be sure that the GeoPandas installation doesn't conflict with `arcpy`. To avoid risks, install sewergraph in a `conda` environment:\n\n```bash\n$ conda create --name myenv\n$ activate myenv #enter the new environment\n$ conda install geopandas\n$ pip install sewergraph\n```\n\n\n### Examples\nCreate a Networkx DiGraph with a shapefile of a sewer network.\n```python\nimport sewergraph as sg\n\n#read shapefile into DiGraph\nshapefile_path = r'path/to/sewers.shp'\nG = sg.graph_from_shp(shapefile_path)\n```\n\nAttributes of each sewer segment are stored as edge data. Geometry is parse and stored in the `geometry` attribute along with whatever other fields exist in the shapefile.\n```python\n#sewer connecting node 0 to node 1\nprint(G[0][1])\n```\n```bash\n{\n  'OBJECTID': 115081,\n  'STREET': 'ADAINVILLE DR',\n  'ShpName': 'sample_sewer_network_1',\n  'diameter': 8,\n  'facilityid': 'BCE7B25E',\n  'geometry': <shapely.geometry.linestring.LineString at 0x12a6caf0>,\n  'height': 0,\n  'length': 164.758,\n  'local_area': 39449.474,\n  'material': 'VCP',\n  'pipeshape': 'CIR',\n  'slope': 0.01,\n  'width': 0\n}\n```\n\nCalculate the total drainage area at each sewer by accumulating `local_area` from the top to bottom of the network (i.e. sewershed).\n\n```python\n#accumulate drainage area\nG = sg.accumulate_downstream(G, 'local_area', 'total_area')\n\n#convert to GeoDataFrame and sort the sewers by total_area\nsewers = sg.gdf_from_graph(G)\nsewers = sewers.sort_values(by = 'total_area', ascending=False)\nsewers.head()\n```\n\n<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>total_area</th>\n      <th>OBJECTID</th>\n      <th>facilityid</th>\n      <th>pipeshape</th>\n      <th>diameter</th>\n      <th>height</th>\n      <th>width</th>\n      <th>length</th>\n      <th>slope</th>\n      <th>material</th>\n      <th>STREET</th>\n      <th>local_area</th>\n      <th>geometry</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>19</th>\n      <td>4,233,504</td>\n      <td>112545</td>\n      <td>A58064DF</td>\n      <td>BOX</td>\n      <td>0</td>\n      <td>12</td>\n      <td>16</td>\n      <td>327.279370</td>\n      <td>0.0075</td>\n      <td>RCP</td>\n      <td>None</td>\n      <td>119043.524941</td>\n      <td>LINESTRING (6558821.45028765 2032961.24586616,...</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>4,114,461</td>\n      <td>112546</td>\n      <td>5890D18F</td>\n      <td>BOX</td>\n      <td>0</td>\n      <td>12</td>\n      <td>16</td>\n      <td>318.081402</td>\n      <td>0.0100</td>\n      <td>RCP</td>\n      <td>None</td>\n      <td>171961.403740</td>\n      <td>LINESTRING (6558826.08945222 2032643.19829701,...</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>3,942,499</td>\n      <td>112563</td>\n      <td>12FF7372</td>\n      <td>BOX</td>\n      <td>0</td>\n      <td>12</td>\n      <td>16</td>\n      <td>131.352534</td>\n      <td>0.0100</td>\n      <td>RCP</td>\n      <td>None</td>\n      <td>16557.605522</td>\n      <td>LINESTRING (6558821.78250872 2032511.9163921, ...</td>\n    </tr>\n\n  </tbody>\n</table>\n</div>\n\nMore functions are provided for calculating basic hydraulic capacity, outfall loading, flow splits, travel time, and identifying downstream constrictions from every point of the network.  \n\n```python\n#perform basic sewer capacity calculations (full flow Mannings capacity)\nG = hhcalcs_on_network(G)\n\n#id flow split sewers and calculate split fractions\nG = analyze_flow_splits(G)\n\n#accumulating travel times\nG = accumulate_travel_time(G)\n```\n\n## Running Tests\nTest are located in the sewergraph > tests directory and are run with `pytest`.  \n\n\n",
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