mlxtend version: 0.23.0

generalize_names

generalize_names(name, output_sep=' ', firstname_output_letters=1)

Generalize a person's first and last name.

Returns a person's name in the format <last_name><separator><firstname letter(s)> (all lowercase)

Parameters

• name : str

  Name of the player

• output_sep : str (default: ' ')

  String for separating last name and first name in the output.

• firstname_output_letters : int

  Number of letters in the abbreviated first name.

Returns

• gen_name : str

  The generalized name.

Examples

For usage examples, please see https://rasbt.github.io/mlxtend/user_guide/text/generalize_names/

generalize_names_duplcheck

generalize_names_duplcheck(df, col_name)

Generalizes names and removes duplicates.

Applies mlxtend.text.generalize_names to a DataFrame with 1 first name letter by default and uses more first name letters if duplicates are detected.

Parameters

• df : pandas.DataFrame

  DataFrame that contains a column where generalize_names should be applied.

• col_name : str

  Name of the DataFrame column where generalize_names function should be applied to.

Returns

• df_new : str

  New DataFrame object where generalize_names function has been applied without duplicates.

Examples

For usage examples, please see https://rasbt.github.io/mlxtend/user_guide/text/generalize_names_duplcheck/

tokenizer_emoticons

tokenizer_emoticons(text)

Return emoticons from text

Examples

    >>> tokenizer_emoticons('</a>This :) is :( a test :-)!')
    [':)', ':(', ':-)']

    For usage examples, please see
    https://rasbt.github.io/mlxtend/user_guide/text/tokenizer_emoticons/

tokenizer_words_and_emoticons

tokenizer_words_and_emoticons(text)

Convert text to lowercase words and emoticons.

Examples

    >>> tokenizer_words_and_emoticons('</a>This :) is :( a test :-)!')
    ['this', 'is', 'a', 'test', ':)', ':(', ':-)']

    For more usage examples, please see
    https://rasbt.github.io/mlxtend/user_guide/text/tokenizer_words_and_emoticons/