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"description": "# jblib\n## Author: Justin Bard\n\nThis module was written to minimize the need to write the functions I use often.\n\nINSTALL: ` python3 -m pip install jblib `\n\n---\nThe source code can be viewed here: [https://github.com/ANamelessDrake/jblib](https://github.com/ANamelessDrake/jblib)\n\nMore of my projects can be found here: [http://justbard.com](http://justbard.com)\n\n---\n` from jblib import cd `\n```\n class cd()\n\n Example: \n with cd(directory):\n print (os.getcwd()) \n\n print (os.getcwd()) ## Back at the originating directory on exit\n```\n\n---\n` from jblib import hilight `\n```\n class hilight(string).color(highlight=True, bold=True)\n\n Example:\n print (hilight(\"Hello World\").red(bold=True))\n\n Or you could make an object:\n text = hilight(\"Bar\")\n\n print (\"Foo \"+text.blue())\n\n To return the original string:\n print (text.string)\n\n Available Colors:\n red\n green\n yellow\n blue\n purple\n teal\n white\n```\n\n---\n` from jblib import convert_module `\n```\n Module to convert various data\n\n def convert_time_from_seconds(seconds_given)\n Converts a seconds into minutes, hours and days. \n\n def IP2Int(ip)\n Converts a IPv4 address to a interger - This is useful to store IP addresses in databases\n\n def Int2IP(ipnum)\n Converts a interger back to an IPv4 address\n\n def urlcode(url, encode=False)\n Wrapper for urllib.parse.quote and urllib.parse.unquote.\n From urllib docs - Replace special characters in string using the %xx escape. Letters, digits, and the characters '_.-' are never quoted. By default, this function is intended for quoting the path section of URL. \n - https://docs.python.org/3.1/library/urllib.parse.html?highlight=urllib#urllib.parse.quote\n```\n\n---\n` from jblib import HTMLgen `\n```\n Basic HTML generator\n 02/09/2019\n\n class HTMLgen(head=False, tail=False, lang=\"en\", docType=\"html\")\n\n FUNCTIONS:\n title(self, title, scripts=None, css=None)\n body.add(content)\n tag(tag, content=False, close=True, cssclass=None)\n image(src, alt=None, srcset=None, height=None, width=None, style=None, cssclass=None)\n br() <-- Returns a tag\n div(cssclass) <-- Not yet implemented \n table() -- Class Object\n table.add_row()\n table.produce_table()\n\n EXAMPLE:\n page = HTMLgen(True, True)\n page.title(\"This is the page Title\", scripts=\"foo.js bar.js\", css=\"styles.css nav.css\")\n page.body.add(page.image(\"images/frontpage.jpg\", width=\"100%\"))\n page.body.add(page.tag(\"h1\", \"This is a header line\"))\n page.body.add(\"This is another line\")\n\n ## Creating a table\n test_table = HTMLgen.table()\n test_table.add_row([\"column data 1\", \"column data 2\", \"column data 3\"])\n test_table.add_row([\"column data 4\", \"column data 5\", \"column data 6\"])\n\n ## And finally we add the table to the rest of the page\n page.body.add(test_table.produce_table())\n\n\n page.return_html()\n\n ```\n \n \n \n This is the page Title \n This is a header line \n This is another line\n \t\n \n column data 1 column data 2 column data 3 \n \n \n column data 4 column data 5 column data 6 \n \n\n
\n\n \n \n ```\n```\n\n` from jblib import progress_bar `\n```\n Progress Bar\n 02/25/2019\n\n FUNCTIONS:\n progress_bar(progress, barLength=50, text_field=\"Progress\")\n\n EXAMPLE:\n counter = 0\n for i in range(100):\n counter += 1\n i = counter/100\n progress_bar(i, 50)\n sleep(0.1)\n\n Progress: [#########################-------------------------] 50.0%\n```\n\n` from jblib import build_date_array `\n\n```\n Build Date Arrays\n 02/27/2019\n\n FUNCTIONS:\n build_date_array(days=1, start_date=str(datetime.date.today()), date_format='%Y-%m-%d', mon=True, tues=True, wed=True, thur=True, fri=True, sat=True, sun=True, weekend=True):\n\n EXAMPLE:\n dates = build_date_array(days=7, weekend=False)\n dates\n ['2019-02-27', '2019-02-28', '2019-03-01', '2019-03-02', '2019-03-03', '2019-03-05', '2019-03-06']\n```\n\n` from jblib import mean_deviation `\n\n'''\n DESCRIPTION:\n This function takes a Pandas DataFrame column in and then returns a series of calculated mean deviations\n\n FUNCTION:\n mean_deviation(data, mean=None)\n\n EXAMPLE:\n data[\"MeanDeviation\"] = pd.Series(mean_deviation(data['column']), index=data.index)\n'''\n\n\n` from jblib import standard_deviation `\n\n'''\n DESCRIPTION:\n This function takes a Pandas DataFrame column in and then returns the calculated standard deviation\n\n FUNCTION:\n standard_deviation(data, mean=None)\n\n EXAMPLE:\n standard_dev = standard_deviation(data['column'])\n'''\n\n` from jblib import StreamToLogger `\n\n```\n DESCRIPTION:\n Fake file-like stream object that redirects writes to a logger instance.\n\n CLASS:\n StreamToLogger(object)\n EXAMPLE:\n if log_enabled: ## If true, all standard output and standard error to the console will be disabled\n # create logger\n logging.basicConfig(format='%(asctime)s - %(message)s', datefmt='%Y%m%d %H:%M:%S', filename=log_file)\n logger = logging.getLogger(__name__)\n logger.setLevel(logging.DEBUG)\n\n logger.propagate = False\n fh = logging.FileHandler(log_file, \"a\")\n fh.setLevel(logging.DEBUG)\n formatter = logging.Formatter(fmt='%(asctime)s - %(message)s', datefmt='%Y%m%d %H:%M:%S')\n fh.setFormatter(formatter)\n logger.addHandler(fh)\n keep_fds = [fh.stream.fileno()]\n\n stdout_logger = logging.getLogger('STDOUT')\n sl = StreamToLogger(stdout_logger, logging.INFO)\n sys.stdout = sl\n\n stderr_logger = logging.getLogger('STDERR')\n sle = StreamToLogger(stderr_logger, logging.ERROR)\n sys.stderr = sle\n```\n\n",
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