docstr: term_doc_matrix = TermDocMatrixFromPandas(ConventionData2012().get_data(),
                                            category_col='party',
                                            text_col='text',
                                            nlp=whitespace_nlp_with_sentences).build()
  term_freq_df = term_doc_matrix.get_term_freq_df()
docstr_tok: ["term_doc_matrix","=","TermDocMatrixFromPandas","(","ConventionData2012","(",")",".get_data","(",")",",","category_col='party","'",",","text_col='text","'",",","nlp=whitespace_nlp_with_sentences",")",".build","(",")","term_freq_df","=","term_doc_matrix.get_term_freq_df","(",")"]
code: def test_get_term_indices_to_compact(self):
      """
      term_doc_matrix = TermDocMatrixFromPandas(ConventionData2012().get_data(),
                                                category_col='party',
                                                text_col='text',
                                                nlp=whitespace_nlp_with_sentences).build()
      term_freq_df = term_doc_matrix.get_term_freq_df()
      """
      term_doc_mat = TermDocMatrixFromFrequencies(
          pd.DataFrame(
              {
                  "term": ["a", "a b", "a c", "c", "b", "e b", "e"],
                  "A freq": [6, 3, 3, 3, 5, 0, 0],
                  "B freq": [6, 3, 3, 3, 5, 1, 1],
              }
          ).set_index("term")
      ).build()
      new_tdm = CompactTerms(minimum_term_count=2).compact(term_doc_mat)
      self.assertEqual(
          term_doc_mat.get_terms(),
          ["a", "a b", "a c", "c", "b", "e b", "e"],
      )
      self.assertEqual(
          set(new_tdm.get_terms()),
          set(term_doc_mat.get_terms()) - {"c", "e b", "e"},
      )
      new_tdm = CompactTerms(minimum_term_count=1).compact(term_doc_mat)
      self.assertEqual(
          set(new_tdm.get_terms()),
          set(term_doc_mat.get_terms()) - {"c", "e"},
      )
      term_doc_mat = TermDocMatrixFromFrequencies(
          pd.DataFrame(
              {
                  "term": ["a", "a b", "b"],
                  "A freq": [5, 4, 8],
                  "B freq": [1, 1, 1],
              }
          ).set_index("term")
      ).build()
      self.assertEqual(
          set(
              CompactTerms(minimum_term_count=0, slack=0)
              .compact(term_doc_mat)
              .get_terms()
          ),
          set(["a", "a b", "b"]),
      )
      self.assertEqual(
          set(
              CompactTerms(minimum_term_count=0, slack=2)
              .compact(term_doc_mat)
              .get_terms()
          ),
          set(["b", "a b"]),
      )
  
imports: from unittest import TestCase
  import pandas
  from scattertext.TermDocMatrixFromFrequencies import TermDocMatrixFromFrequencies
  from scattertext.termcompaction.CompactTerms import CompactTerms
label_desc: Use image node_id 1 for calling the TestCompactTerms obj's underlying member method code with example usage: obj.test_get_term_indices_to_compact() without return types