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        "description": "# Lucifer\nLucifer is a Python package for creating nice and colourful progress bars using the map() and apply() method as well as for loops.\n\n## Etymology\nOld English [Lucifer](https://www.etymonline.com/word/lucifer) \"Satan,\" also \"morning star, Venus in the morning sky before sunrise,\" \nalso an epithet or name of Diana, from Latin Lucifer \"morning star,\" noun use of adjective, \nliterally \"light-bringing,\" from lux (genitive lucis) \"light\" (from PIE root *leuk- \"light, brightness\") + \nferre \"to carry, bear,\" from PIE root *bher- (1) \"to carry,\" also \"to bear children.\" Venus in the \nevening sky was Hesperus. \n\n## ProgressBar\nTo use a progress bar you need to initiate a ProgressBar object with the maximum progress amount (total) and call the show method of the object with the amount to update the progress bar.\n\n```python\nfrom lucifer import ProgressBar\nfrom time import sleep\n\nbar = ProgressBar(total=100)\n\nfor i in range(100):\n  sleep(0.05)\n  bar.show(amount=i+1)\n```\n\nYou can also add your own text to the progress bar.\n\n```python\nfrom lucifer import ProgressBar\nfrom time import sleep\n\nbar = ProgressBar(total=100)\nfor i in range(100):\n    sleep(0.05)\n    bar.show(amount=i+1, text=f'working on {i}')\n```\n\n\n## map\nYou can also use the ProgressBar's map method instead of Python's map method. The output is an iterable. As soon as you turn the iterable object into a list the progress bar will be displayed.\n\n```python\nfrom lucifer import ProgressBar\nfrom time import sleep\n\nlist1 = list(range(100))\n\ndef wait_and_double(x, wait_time):\n    sleep(wait_time)\n    return x*2\n\n# this will not make the progress bar appear\niterable2 = ProgressBar.map(\n    function=lambda x: wait_and_double(x=x, wait_time=0.05), \n    iterable=list1\n)\n\n# this will make the progress bar appear\nlist2 = list(iterable2)\n```\n\n## apply\nProgressBar also works with Panda's DataFrame and Series objects. \n\n```python\nfrom lucifer import ProgressBar\nfrom time import sleep\nfrom pandas import DataFrame\n\ndata = DataFrame({\n    'name':['Arminius', 'Boudica', 'Alaric', 'Attila', 'Genseric'],\n    'ethnicity': ['German', 'Celt', 'Goth', 'Hun', 'Vandal']\n})\n\ndata['name_and_ethnicity'] = ProgressBar.apply(\n    data=data, \n    function=lambda x: x['name']+' the '+x['ethnicity']\n)\n\ndata['name_lower'] = ProgressBar.apply(\n    series=data['name'], \n    function=lambda x: x.lower()\n)\n```\n\n## iterate\nYou can also use ProgressBar to for iterating over iterable objects, especially *for* loops.\n\n```python\nfrom lucifer import iterate\n\nfor i in iterate(range(100)):\n    # do something\n    pass\n```\n\n\n\n",
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