code: def get_p_vals(df, positive_category, term_significance):
  	'''
  	Parameters
  	----------
  	df : A data frame from, e.g., get_term_freq_df : pd.DataFrame
  	positive_category : str
  		The positive category name.
  	term_significance : TermSignificance
  		A TermSignificance instance from which to extract p-values.
  	'''
  	df_pos = df[[positive_category]]
  	df_pos.columns = ['pos']
  	df_neg = pd.DataFrame(df[[c for c in df.columns if
  	                          c != positive_category
  	                          and c.endswith(' freq')]].sum(axis=1))
  	df_neg.columns = ['neg']
  	X = df_pos.join(df_neg)[['pos','neg']].values
  	return term_significance.get_p_vals(Xf get_p_vals(df, positive_category, term_significance):
  	'''
  	Parameters
  	----------
  	df : A data frame from, e.g., get_term_freq_df : pd.DataFrame
  	positive_category : str
  		The positive category name.
  	term_significance : TermSignificance
  		A TermSignificance instance from which to extract p-values.
  	'''
  	df_pos = df[[positive_category]]
  	df_pos.columns = ['pos']
  	df_neg = pd.DataFrame(df[[c for c in df.columns if
  	                          c != positive_category
  	                          and c.endswith(' freq')]].sum(axis=1))
  	df_neg.columns = ['neg']
  	X = df_pos.join(df_neg)[['pos','neg']].values
  	return term_significance.get_p_vals(X)
docs: Parameters
  	----------
  	df : A data frame from, e.g., get_term_freq_df : pd.DataFrame
  	positive_category : str
  		The positive category name.
  	term_significance : TermSignificance
  		A TermSignificance instance from which to extract p-values.