This file analyze emergence of characters in file (to decrypt with statistics).

Modules
		matplotlib.pyplot

Classes
		builtins.object FileAnalysis   class FileAnalysis(builtins.object)     FileAnalysis(filename: str, alphabet_only: bool = False)   This class analyze emergence of characters.     Methods defined here: __init__(self, filename: str, alphabet_only: bool = False) Initialize self.  See help(type(self)) for accurate signature. analysis_char(self, char: bytes) -> None This function analyse a character. analysis_filecontent(self) -> Dict[str, int] This function analyze file content. build_chart(self) -> None This function use pyplot to build the chart from chars. get_pourcent(self) -> Dict[str, float] This function return pourcent from chars. sort_and_show(self, sort: bool = False, json: bool = False) -> None This function sort characters by emergence if sort argument is True and print emergences as JSON if json argument is True else show chart. Data descriptors defined here: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)

Data
		ENGLISH_FREQUENCE = {'A': 8.2, 'B': 1.5, 'C': 2.8, 'D': 4.3, 'E': 13, 'F': 2.2, 'G': 2, 'H': 6.1, 'I': 7, 'J': 0.15, ...} FRENCH_FREQUENCE = {'A': 7.11, 'B': 1.14, 'C': 3.18, 'D': 3.67, 'E': 12.1, 'F': 1.11, 'G': 1.23, 'H': 1.11, 'I': 6.59, 'J': 0.34, ...} __all__ = ['FileAnalysis', 'FRENCH_FREQUENCE', 'ENGLISH_FREQUENCE'] __author_email__ = 'mauricelambert434@gmail.com' __copyright__ = '\nFileAnalysis Copyright (C) 2021 Maurice Lambe...ome to redistribute it\nunder certain conditions.\n' __description__ = 'This file analyze emergence of characters in file (to decrypt with statistics).' __license__ = 'GPL-3.0 License' __maintainer__ = 'Maurice Lambert' __maintainer_email__ = 'mauricelambert434@gmail.com' __url__ = 'https://github.com/mauricelambert/FileAnalysis/'

Author
		Maurice Lambert