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"author": "Sat Kumar Tomer",
"author_email": "satkumartomer@gmail.com",
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"Environment :: Other Environment",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Topic :: Scientific/Engineering"
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"description": "==================================================\r\nThis library is now part of the ambhas \r\n(http://pypi.python.org/pypi/ambhas/) library. \r\nUpdates will only be made in the ambhas library. \r\n==================================================\r\n\r\n\r\n============\r\ndatalib\r\n============\r\n\r\nThis is a package/library in python to work with time series data from xls file.\r\nThis is being developed under the project `AMBHAS `_.\r\n\r\n\r\nInstalling datalib\r\n======================\r\n\r\nInstalling datalib can be done by downloading source file (datalib--.tar.gz),\r\nand after unpacking issuing the command::\r\n\r\n python setup.py install\r\n\r\nThis requires the usual Distutils options available.\r\n\r\nOr, download the datalib--.tar.gz file and issue the command::\r\n \r\n pip /path/to/datalib--.tar.gz\r\n\r\nOr, directly using the pip::\r\n\r\n pip install datalib \r\n\r\n\r\nUsage\r\n=========\r\nImport required modules::\r\n\r\n import numpy as np\r\n from datalib import time_data\r\n\r\nRead the time series data::\r\n\r\n data = time_data('/pata/to/file.xls')\r\n year = data.get('year')\r\n month = data.get('month')\r\n gw_observed = 839-data.get('gw')\r\n \r\nChangelog\r\n=========\r\n\r\n0.0.0 (July 2011)\r\n------------------\r\n- Initial release\r\n\r\n\r\nAny questions/comments\r\n=========================\r\nIf you have any comment/suggestion/question, \r\nplease feel free to write me at satkumartomer@gmail.com\r\n\r\nSo far, the documents are not well explained, \r\nI will be updating them soon.",
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"license": "UNKNOWN",
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