86ee5d290906f342a8b0f6f3461cb109bdc4c71d,scattertext/ScatterChart.py,ScatterChart,to_dict,#ScatterChart#Any#Any#Any#Any#Any#,65

Before Change

		self._add_term_freq_to_json_df(json_df, df, category)
		json_df["s"] = percentile_min(df["color_scores"])
		json_df["os"] = df["color_scores"]
		bg_terms = self.term_doc_matrix.get_scaled_f_scores_vs_background()
		bg_terms = bg_terms["Scaled f-score"]
		bg_terms.name = "bg"
		bg_terms = bg_terms.reset_index()
		bg_terms.columns = ["term" if x == "index" else x for x in bg_terms.columns]
		json_df = pd.merge(json_df, bg_terms, on="term", how="left")
		json_df["bg"] = json_df["bg"].fillna(0)


		category_terms = list(json_df.sort_values("s")["term"][:10])

After Change

			(category, df, other_categories, transform)
		df["not cat freq"] = df[[x for x in other_categories]].sum(axis=1)
		json_df = df[["x", "y", "term"]]
		if self.term_significance:
			json_df["p"] = df["p"]
		self._add_term_freq_to_json_df(json_df, df, category)
		json_df["s"] = percentile_min(df["color_scores"])
		json_df["os"] = df["color_scores"]
		json_df["bg"] = self._get_corpus_characteristic_scores(json_df)

Instances