Frequency analysis
------------------
Python package for symbol/word and their bigrams frequency analysis with excel output.
What values can be counted: quantity, quantity in the first position, quantity in the last position, average position.
For which data values can be counted: symbols, symbol bigrams, words, word bigrams.
Additional possible data: ye-yo words table for Russian language (in excel output it can be cross-referenced with words quantity).
Usage
-----
1. ``pip install frequency-analysis``;
2. Download data set of your choice;
3. Call ``Analysis`` class with context manager (take a look at the optional arguments);
4. Parse your data set to word list (one sentence in list for properly word position counting) and send it to one of three methods of ``Analysis``;
5. Call ``Result`` class with context manager (with optional name argument);
6. Call one or several of ``Result`` methods to create excel sheet(s) with appropriate data.
Methods and arguments
---------------------
``Analysis`` class arguments
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
All arguments are optional
* *name* – the name of the folder in which the analysis will be saved
default ``frequency_analysis``
* *mode* – analysis operation mode (``[n]ew``, ``[a]ppend``, ``[c]ontinue``)
default ``n``
* *word\_pattern* – regex pattern for matching inwords symbols
default ``[a-zA-Zа-яА-ЯёЁ]+(?:(?:-?[a-zA-Zа-яА-ЯёЁ]+)+\|'?[a-zA-Zа-яА-ЯёЁ]+)\|[a-zA-Zа-яА-ЯёЁ]``
* *allowed\_symbols* – string of symbols or list with symbol unicode decimal values, which will be counted to analysis
default ``[*range(32, 127), 1025, *range(1040, 1104), 1105]`` (base punctuation, base Latin, Russian Cyrillic)
* *yo* – int for additional Russian word processing – compare words with word list to detect number of ye/yo misspelling. 0 – disabled; 1 – enabled; 2 with 'a' mode – update yo list with new data.
default ``0``
To use the last one you should place two word files near the running script (``yo.txt`` for words with mandatory yo and ``ye-yo.txt`` for possibly yo writing). You can use your own or take it `here <https://github.com/uqqu/yo_dict>`__.
``Analysis`` class methods
~~~~~~~~~~~~~~~~~~~~~~~~~~
``count_symbols(word_list: list, [pos: bool, bigrams: bool])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Method for counting symbol and symbol\_bigram frequency. Counted values:
quantity, quantity in the first position, quantity in the last position, average position in word.
Average position counted only with argument ``pos`` as ``True`` (default ``False``). Position for symbols, which matched with ``word_pattern`` counted as for "clear" word, for other – as for "raw".
Example: in single word ``–Yes!`` with default ``word_pattern`` positions will be counted as ``(– 1), (Y 1), (e 2), (s 3), (! 5)``.
Bigrams counting can be disabled with argument ``bigram`` as ``False`` (default ``True``).
``count_words(word_list: list, [pos: bool, bigrams: bool])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Method for counting word and word\_bigrams frequency. Counted values:
quantity, quantity in the first position, quantity in the last position, average position in sentence.
Average position counted only with argument ``pos`` as ``True`` (default ``False``).
Bigrams counting can be disabled with argument ``bigram`` as ``False`` (default ``True``).
``count_all(word_list: list, [pos: bool, symbol_bigrams: bool, word_bigrams: bool])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Combined call of previous two methods.
``Result`` class arguments
~~~~~~~~~~~~~~~~~~~~~~~~~~
The only argument is optional
* *name* – the name of the folder in which the analysis was saved
default ``frequency_analysis``
``Result`` class methods
~~~~~~~~~~~~~~~~~~~~~~~~
First 6 methods can be called all it once with ``treat()`` method
Many methods accept arguments ``limit``, ``chart_limit``, ``min_quantity`` and ``ignore_case``.
* *limit* (default ``0``) it is a max number of elements, which will be added to the sheet. ``0`` – unlimited;
* *chart_limit* (default ``20``) – a number of elements, which will be counted with graphical chart;
* *min_quantity* (default ``1``) – a minimal appropriate value at with element will be added to the sheet;
* *ignore_case* (default ``False``) – with this argument as ``True`` lower- and upper- case symbols will be united into a single element. With ``False`` – will be counted separately. ``Keyword-only``
``sheet_stats()``
^^^^^^^^^^^^^^^^^
Main result info – number of entries, total count and average position (if exists) for each data type.
``sheet_top_symbols([limit, chart_limit, min_quantity])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Top list of all analyzed symbols sorted by quantity. The next to it is also located the same one list, but with ignore-case. There is no need to create separate sheet, just use column of your choice.
``sheet_top_symbol_bigrams([limit, chart_limit, min_quantity])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Top list of symbol bigrams sorted by quantity with additional case insensitive top-list.
``sheet_all_symbol_bigrams([min_quantity, ignore_case])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2D sheet with all bigrams quantity. ``min_quantity`` argument works here for sum of row/column values instead of each separated bigram.
``sheet_top_words([limit, chart_limit, min_quantity])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Top list of analyzed words sorted by quantity. Word counting is always case insensitive, on the ``Analyze`` stage.
``sheet_top_word_bigrams([limit, chart_limit, min_quantity])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Top list of analyzed word bigrams sorted by quantity.
``treat([limits: tuple(four int), chart_limits: tuple(four int), min_quantities: tuple(five int)])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Single call of all ``Result`` methods above. Calling methods in order of tuple values:
1. ``sheet_top_symbols()``
2. ``sheet_top_symbol_bigrams()``
3. ``sheet_top_words()``
4. ``sheet_top_word_bigrams()``
5. ``sheet_all_symbol_bigrams()``
Please note – the last one (value for ``sheet_all_symbol_bigrams()``) there is only in the ``min_quantities`` argument.
Default values as elsewhere:
* *limits* – ``(0,)*4``
* *chart_limits* – ``(20,)*4``
* *min_quantities* – ``(1,)*5``
``sheet_custom_top_symbols(symbols: str, [chart_limit, name='Custom symbols'])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbols top-list as ``sheet_top_symbols()``, but only with symbols of your choice. ``name`` – ``keyword-only``
``sheet_en_top_symbols(symbols: str, [chart_limit])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbols top-list as ``sheet_top_symbols()``, but only with base Latin symbols.
``sheet_ru_top_symbols(symbols: str, [chart_limit])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbols top-list as ``sheet_top_symbols()``, but only with Russian Cyrillic symbols.
``sheet_custom_symbol_bigrams(symbols: str, [ignore_case, name='Custom symbol bigrams'])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbol bigrmas 2D sheet as ``sheet_all_symbol_bigrams()``, but only with symbols of your choice. Order of symbols on the sheet will be the same as in the input argument. ``name`` – ``keyword-only``
``sheet_en_symbol_bigrams([ignore_case])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbol bigrams 2D sheet as ``sheet_all_symbol_bigrams()``, but only with base Latin symbols.
``sheet_ru_symbol_bigrams([ignore_case])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create symbol bigrams 2D sheet as ``sheet_all_symbol_bigrams()``, but only with Russian Cyrillic symbols.
``sheet_yo_words([limit, min_quantity])``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Create cross-referenced sheet for all counted ye-yo words with their quantity and total misspells counter. Works only with analysis created with ``yo`` argument as ``1`` or ``2``.
Performed analyses
------------------
* English analysis with `EuroMatrixPlus/MultiUN <http://www.euromatrixplus.net/multi-un/>`__ English data set (3.1Gb .xml, 2.4\*10\ :sup:`9` symbols, 379\*10\ :sup:`6` words)
* https://github.com/uqqu/frequency\_analysis/tree/master/examples/en/multiUN
* Russian analysis with `EuroMatrixPlus/MultiUN <http://www.euromatrixplus.net/multi-un/>`__ Russian data set (4.3Gb .xml, 2.2\*10\ :sup:`9` symbols, 270\*10\ :sup:`6` words)
* https://github.com/uqqu/frequency\_analysis/tree/master/examples/ru/multiUN
* Russian analysis with `OpenCorpora <http://opencorpora.org/>`__ data set (528Mb .xml, 11.7\*10\ :sup:`6` symbols, 1.6\*10\ :sup:`6` words)
* https://github.com/uqqu/frequency\_analysis/tree/master/examples/ru/annot\_opcorpora
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"description": "Frequency analysis\r\n------------------\r\n\r\nPython package for symbol/word and their bigrams frequency analysis with excel output.\r\n\r\nWhat values can be counted: quantity, quantity in the first position, quantity in the last position, average position.\r\n\r\nFor which data values can be counted: symbols, symbol bigrams, words, word bigrams.\r\n\r\nAdditional possible data: ye-yo words table for Russian language (in excel output it can be cross-referenced with words quantity).\r\n\r\nUsage\r\n-----\r\n\r\n1. ``pip install frequency-analysis``;\r\n2. Download data set of your choice;\r\n3. Call ``Analysis`` class with context manager (take a look at the optional arguments);\r\n4. Parse your data set to word list (one sentence in list for properly word position counting) and send it to one of three methods of ``Analysis``;\r\n5. Call ``Result`` class with context manager (with optional name argument);\r\n6. Call one or several of ``Result`` methods to create excel sheet(s) with appropriate data.\r\n\r\nMethods and arguments\r\n---------------------\r\n\r\n``Analysis`` class arguments\r\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nAll arguments are optional\r\n\r\n* *name* \u2013 the name of the folder in which the analysis will be saved\r\n default ``frequency_analysis``\r\n* *mode* \u2013 analysis operation mode (``[n]ew``, ``[a]ppend``, ``[c]ontinue``)\r\n default ``n``\r\n* *word\\_pattern* \u2013 regex pattern for matching inwords symbols\r\n default ``[a-zA-Z\u0430-\u044f\u0410-\u042f\u0451\u0401]+(?:(?:-?[a-zA-Z\u0430-\u044f\u0410-\u042f\u0451\u0401]+)+\\|'?[a-zA-Z\u0430-\u044f\u0410-\u042f\u0451\u0401]+)\\|[a-zA-Z\u0430-\u044f\u0410-\u042f\u0451\u0401]``\r\n* *allowed\\_symbols* \u2013 string of symbols or list with symbol unicode decimal values, which will be counted to analysis\r\n default ``[*range(32, 127), 1025, *range(1040, 1104), 1105]`` (base punctuation, base Latin, Russian Cyrillic)\r\n* *yo* \u2013 int for additional Russian word processing \u2013 compare words with word list to detect number of ye/yo misspelling. 0 \u2013 disabled; 1 \u2013 enabled; 2 with 'a' mode \u2013 update yo list with new data.\r\n default ``0``\r\n\r\n To use the last one you should place two word files near the running script (``yo.txt`` for words with mandatory yo and ``ye-yo.txt`` for possibly yo writing). You can use your own or take it `here <https://github.com/uqqu/yo_dict>`__.\r\n\r\n``Analysis`` class methods\r\n~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\n``count_symbols(word_list: list, [pos: bool, bigrams: bool])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nMethod for counting symbol and symbol\\_bigram frequency. Counted values:\r\nquantity, quantity in the first position, quantity in the last position, average position in word. \r\n\r\nAverage position counted only with argument ``pos`` as ``True`` (default ``False``). Position for symbols, which matched with ``word_pattern`` counted as for \"clear\" word, for other \u2013 as for \"raw\".\r\n\r\nExample: in single word ``\u2013Yes!`` with default ``word_pattern`` positions will be counted as ``(\u2013 1), (Y 1), (e 2), (s 3), (! 5)``.\r\n\r\nBigrams counting can be disabled with argument ``bigram`` as ``False`` (default ``True``).\r\n\r\n``count_words(word_list: list, [pos: bool, bigrams: bool])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nMethod for counting word and word\\_bigrams frequency. Counted values:\r\nquantity, quantity in the first position, quantity in the last position, average position in sentence. \r\n\r\nAverage position counted only with argument ``pos`` as ``True`` (default ``False``).\r\n\r\nBigrams counting can be disabled with argument ``bigram`` as ``False`` (default ``True``).\r\n\r\n``count_all(word_list: list, [pos: bool, symbol_bigrams: bool, word_bigrams: bool])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCombined call of previous two methods.\r\n\r\n``Result`` class arguments\r\n~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nThe only argument is optional\r\n\r\n* *name* \u2013 the name of the folder in which the analysis was saved\r\n default ``frequency_analysis``\r\n\r\n``Result`` class methods\r\n~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\n First 6 methods can be called all it once with ``treat()`` method\r\n\r\nMany methods accept arguments ``limit``, ``chart_limit``, ``min_quantity`` and ``ignore_case``.\r\n\r\n* *limit* (default ``0``) it is a max number of elements, which will be added to the sheet. ``0`` \u2013 unlimited;\r\n* *chart_limit* (default ``20``) \u2013 a number of elements, which will be counted with graphical chart;\r\n* *min_quantity* (default ``1``) \u2013 a minimal appropriate value at with element will be added to the sheet;\r\n* *ignore_case* (default ``False``) \u2013 with this argument as ``True`` lower- and upper- case symbols will be united into a single element. With ``False`` \u2013 will be counted separately. ``Keyword-only``\r\n\r\n``sheet_stats()``\r\n^^^^^^^^^^^^^^^^^\r\n\r\nMain result info \u2013 number of entries, total count and average position (if exists) for each data type.\r\n\r\n``sheet_top_symbols([limit, chart_limit, min_quantity])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nTop list of all analyzed symbols sorted by quantity. The next to it is also located the same one list, but with ignore-case. There is no need to create separate sheet, just use column of your choice.\r\n\r\n``sheet_top_symbol_bigrams([limit, chart_limit, min_quantity])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nTop list of symbol bigrams sorted by quantity with additional case insensitive top-list.\r\n\r\n``sheet_all_symbol_bigrams([min_quantity, ignore_case])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\n2D sheet with all bigrams quantity. ``min_quantity`` argument works here for sum of row/column values instead of each separated bigram.\r\n\r\n``sheet_top_words([limit, chart_limit, min_quantity])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nTop list of analyzed words sorted by quantity. Word counting is always case insensitive, on the ``Analyze`` stage.\r\n\r\n``sheet_top_word_bigrams([limit, chart_limit, min_quantity])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nTop list of analyzed word bigrams sorted by quantity.\r\n\r\n``treat([limits: tuple(four int), chart_limits: tuple(four int), min_quantities: tuple(five int)])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nSingle call of all ``Result`` methods above. Calling methods in order of tuple values:\r\n\r\n1. ``sheet_top_symbols()``\r\n2. ``sheet_top_symbol_bigrams()``\r\n3. ``sheet_top_words()``\r\n4. ``sheet_top_word_bigrams()``\r\n5. ``sheet_all_symbol_bigrams()``\r\n\r\nPlease note \u2013 the last one (value for ``sheet_all_symbol_bigrams()``) there is only in the ``min_quantities`` argument. \r\n\r\nDefault values as elsewhere:\r\n\r\n* *limits* \u2013 ``(0,)*4``\r\n* *chart_limits* \u2013 ``(20,)*4``\r\n* *min_quantities* \u2013 ``(1,)*5``\r\n\r\n``sheet_custom_top_symbols(symbols: str, [chart_limit, name='Custom symbols'])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbols top-list as ``sheet_top_symbols()``, but only with symbols of your choice. ``name`` \u2013 ``keyword-only``\r\n\r\n``sheet_en_top_symbols(symbols: str, [chart_limit])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbols top-list as ``sheet_top_symbols()``, but only with base Latin symbols.\r\n\r\n``sheet_ru_top_symbols(symbols: str, [chart_limit])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbols top-list as ``sheet_top_symbols()``, but only with Russian Cyrillic symbols.\r\n\r\n``sheet_custom_symbol_bigrams(symbols: str, [ignore_case, name='Custom symbol bigrams'])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbol bigrmas 2D sheet as ``sheet_all_symbol_bigrams()``, but only with symbols of your choice. Order of symbols on the sheet will be the same as in the input argument. ``name`` \u2013 ``keyword-only``\r\n\r\n``sheet_en_symbol_bigrams([ignore_case])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbol bigrams 2D sheet as ``sheet_all_symbol_bigrams()``, but only with base Latin symbols.\r\n\r\n``sheet_ru_symbol_bigrams([ignore_case])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate symbol bigrams 2D sheet as ``sheet_all_symbol_bigrams()``, but only with Russian Cyrillic symbols.\r\n\r\n``sheet_yo_words([limit, min_quantity])``\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\nCreate cross-referenced sheet for all counted ye-yo words with their quantity and total misspells counter. Works only with analysis created with ``yo`` argument as ``1`` or ``2``.\r\n\r\nPerformed analyses\r\n------------------\r\n\r\n* English analysis with `EuroMatrixPlus/MultiUN <http://www.euromatrixplus.net/multi-un/>`__ English data set (3.1Gb .xml, 2.4\\*10\\ :sup:`9` symbols, 379\\*10\\ :sup:`6` words)\r\n\r\n * https://github.com/uqqu/frequency\\_analysis/tree/master/examples/en/multiUN\r\n\r\n* Russian analysis with `EuroMatrixPlus/MultiUN <http://www.euromatrixplus.net/multi-un/>`__ Russian data set (4.3Gb .xml, 2.2\\*10\\ :sup:`9` symbols, 270\\*10\\ :sup:`6` words)\r\n\r\n * https://github.com/uqqu/frequency\\_analysis/tree/master/examples/ru/multiUN\r\n\r\n* Russian analysis with `OpenCorpora <http://opencorpora.org/>`__ data set (528Mb .xml, 11.7\\*10\\ :sup:`6` symbols, 1.6\\*10\\ :sup:`6` words)\r\n\r\n * https://github.com/uqqu/frequency\\_analysis/tree/master/examples/ru/annot\\_opcorpora\r\n",
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