def __init__(self,
data_frame,
text_col,
clean_function=lambda x: x,
nlp=None,
feats_from_spacy_doc=None,
verbose=False):
'''Creates a TermDocMatrix from a pandas data frame.
Parameters
----------
data_frame : pd.DataFrame
The data frame that contains columns for the category of interest
and the document text.
text_col : str
The name of the column which contains each document's raw text.
clean_function : function, optional
A function that strips invalid characters out of the document text string,
returning the new string.
nlp : function, optional
feats_from_spacy_doc : FeatsFromSpacyDoc or None
verbose : boolean, optional
If true, prints a message every time a document index % 100 is 0.
See Also
--------
TermDocMatrixFactory
'''
TermDocMatrixFactory.__init__(self,
clean_function=clean_function,
nlp=nlp,
feats_from_spacy_doc=feats_from_spacy_doc)
self.data_frame = data_frame.reset_index()
self._text_col = text_col
self._verbose = verbose
def build_term_doc_matrix(): term_doc_matrix = TermDocMatrixFactory( category_text_iter=iter_party_speech_pairs(), clean_function=clean_function_factory(), nlp=whitespace_nlp ).build() return term_doc_matrix