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        "description": "# Distances Calculator\n\nThis is a distance calculator between 2 addressed, it is based on \n*openstreetmap* api.\n\n## Getting start\n- install, `pip install distances-calculator`\n- uninstall `pip uninstall distances-calculator`\n\n### get distance between 2 addresses\n2 parameters, \n\n- address 1\n- address 2\n\n```\ndistances-calc \"125 Queen St, Auckland, 0620\" \"127 Queen St, Auckland, 0620\"\n```\n\n### calculate the distance between a table's data\n2 parameters,\n\n- address, the center, the original address\n- path, the absolute path of your csv file\n\n```\ndistances_writer \"125 Queen St, Auckland, 0620\" \"/home/Username/test.csv\"\n```\n\n\n### example of distance_writer\ntable test.csv\n\nid | address\n------------- | -------------\n0  | 1 Fontenoy Street, Mount Albert, Auckland 1025  \n1  | 3A Fontenoy Street, Mount Albert, Auckland 1025\n\nafter running `distances_writer \"125 Queen St, Auckland, 0620\" \"/home/Username/test.csv\"`\n\nnew table test.csv will be\n\n\nid|address|distance_to_139 Carrington Rd, Mount Albert, Auckland 1025\n------|-----|----\n0  | 1 Fontenoy Street, Mount Albert, Auckland 1025| 0.447789551786935\n1  | 3A Fontenoy Street, Mount Albert, Auckland 1025|0.471488332032505\n\n\n\n\n#### P.S.\nin your csv table, there should be one column named `address`, and the writer can create a new column named `distance_to_<address>`\n\n## How to calculate distance\n### Based on coordinate\nEarth is a sphere, so we can use simple triangle function to \ncalculate a not accurate distance, but most of time, \nthis direct distance is good enough.\n\n### Based on open street map api (in future)\nthis can be used to calculate route distance.\n\n## APIxcode\n- extract_coordinate \n- get_distance\n- write_into\n\n## Links About\n- [github public repo](https://github.com/tim-hub/distance_calculator)\n- [pypi distribution](https://pypi.org/project/distances-calculator/)\n\n",
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