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        "description": "###############################################\r\nComma-Separated-Values Row Operations (CSVROPE)\r\n###############################################\r\n\r\nThis module provides a set of simple utilities for retrieving, manipulating and\r\nupdating data organized in rows and contained in a CSV file.\r\n\r\nThe source code for this module lives at:\r\n\r\n    https://github.com/thumbo/CSVrope\r\n\r\nPlease report any bugs or feature requests via the issue tracker there.\r\n\r\n\r\nINSTALLATION DEPENDENCIES\r\n=========================\r\n\r\nThe algorithms should work with Python 3.5 or later and require a few open\r\nsource Python modules.  Below are the dependencies required for the toolset with\r\nthe versions with which the algorithm was tested:\r\n\r\n- Python 3.5\r\n- Nose 1.3.7\r\n\r\n\r\nINSTALLATION\r\n============\r\n\r\nThis module is registered with the Python package index.\r\n\r\nThe easiest way to install the package is to use pip.\r\nFirst make sure that your version of pip is up to date:\r\n\r\n        https://pip.pypa.io/en/stable/installing/#upgrading-pip\r\n\r\n... and then run the command:\r\n\r\n        ``pip install csvrope``\r\n\r\nFor additional information about how to use pip, please refer to the guide:\r\n\r\n        https://packaging.python.org/installing/#use-pip-for-installing\r\n\r\nIn alternative you can also download the package from:\r\n\r\n        http://pypi.python.org/pypi/csvrope\r\n\r\n... and compile it in the usual way:\r\n\r\n    ``$ python setup.py install``\r\n\r\n\r\nUSAGE\r\n=====\r\n\r\nThe ``csvrope`` module contains a set of basic functions to be used in retrieving,\r\nupdating and manipulating data contained in a CSV file.\r\n\r\nThe ``csvrope`` module gives its best when the data contained in the CSV file\r\nis organized in a \"table\" form, as in the following example:\r\n\r\n        a01, Mark, 22,male, yes, 126\r\n\r\n        a02, Jane, 31,female, yes, 152\r\n\r\n        a03, Philip, 28,male, no, 88\r\n\r\n        a04, John, 19,male, yes, 115\r\n\r\n        ...\r\n\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n|             | Value 0   | Value 1   | Value 2   | Value 3   | Value 4   | Value 5   |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n| Row 0       | a01       | Mark      | 22        | male      | yes       | 126       |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n| Row 1       | a02       | Jane      | 31        | female    | yes       | 152       |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n| Row 2       | a03       | Philip    | 28        | male      | no        | 88        |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n| Row 3       | a04       | John      | 19        | male      | yes       | 115       |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n| Row 4       | ...       | ...       | ...       | ...       | ...       | ...       |\r\n+-------------+-----------+-----------+-----------+-----------+-----------+-----------+\r\n\r\nIn order to use the following functions, it is sufficient to import the module\r\nwithin your script.\r\n\r\nFUNCTIONS:\r\n----------\r\n\r\n        append_row(filename, row)\r\n                Append a row at the end of CSV file.\r\n\r\n        clear(filename)\r\n                Clear the CSV file.\r\n\r\n        count_rows(filename)\r\n                Return the number of rows present in the CSV file, 0 if none.\r\n\r\n        get_row(filename, row_index)\r\n                Return the row at row_index, from zero-index.\r\n\r\n        get_row_value(filename, row_index, value_index)\r\n                Return the value at value_index from the row at row_index, from zero-index.\r\n\r\n        get_row_values(filename, row_index, values_indexes)\r\n                Return the values at value_indexes from the row at row_index, from zero-index.\r\n\r\n        get_rows(filename)\r\n                Return a list containing all the rows of the CSV file.\r\n\r\n        get_rows_value(filename, value_index)\r\n                Return all the values at value_index from each row, from zero-index.\r\n\r\n        get_rows_with_value(filename, value_index, value_target)\r\n                Return a list containing all the rows that have value_target at value_index, from zero-index.\r\n\r\n        get_rows_with_values(filename, targets)\r\n                Return a list of lists, each containing the rows that match the targets, from zero-index.\r\n\r\n                Targets: [ [value1_index, value1_target], [value2_index, value2_target], ... ]\r\n\r\n                Output: [ [rows with value1 ], [rows with value2], ... ]\r\n\r\n        overwrite_row(filename, row_index, new_row)\r\n                Overwrite the row at row_index with the new_row, from zero-index.\r\n\r\n        print_rows(filename)\r\n                Print all the rows contained in the CSV file.\r\n\r\n        write_row(filename, row)\r\n                Clear the CSV file and write a single row.\r\n\r\n\r\nFor an account of the functionalities available from this module,\r\nsee the tests.py module in the source code repository.\r\n\r\n\r\nNOTES\r\n=====\r\n\r\nThe ``csvrope`` module is intended to be used in combination with\r\nthe standard Python ``csv`` module.",
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