Problem with produce_scattertext_explorer about scattertext HOT 5 CLOSED

Apologies! I misread your code. The category parameter should be 'positive'. The category_name is what the category will be rendered on the plot.

from scattertext.

It's hard to tell exactly what's going on without seeing the contents of data which is presumably a pandas.DataFrame.

Your category_name (currently 'Positive') parameter must in a value in the column 'sentiment' in data. The error is saying that isn't. The same thing holds for Negative.

Also, the metadata parameter should be a array-like object that's the same length as data, and holds the titles for each of the documents shown.

from scattertext.

The Pandas DataFrame has 3 columns - reviews, stars and sentiment, where sentiment is a binary categorical variable (positive or negative). Reviews are strings and stars can range from 1-5.

I changed my code to the one below (seeing as metadata is an optional param I dropped it):

html = produce_scattertext_explorer(corpus,
category='sentiment',
category_name='positive',
not_category_name='negative',
width_in_pixels=1000,
minimum_term_frequency=5,
term_significance = st.LogOddsRatioUninformativeDirichletPrior(),
include_term_category_counts=False)
file_name = 'test.html'
open(file_name, 'wb').write(html.encode('utf-8'))
IFrame(src=file_name, width = 1200, height=700)

Getting this error:

AssertionError Traceback (most recent call last)
in ()
7 term_significance = st.LogOddsRatioUninformativeDirichletPrior(),
8 metadata = np.array([x for x in data['stars']]),
----> 9 include_term_category_counts=False)
10 file_name = 'test.html'
11 open(file_name, 'wb').write(html.encode('utf-8'))

~/anaconda3/lib/python3.6/site-packages/scattertext/init.py in produce_scattertext_explorer(corpus, category, category_name, not_category_name, protocol, pmi_threshold_coefficient, minimum_term_frequency, minimum_not_category_term_frequency, max_terms, filter_unigrams, height_in_pixels, width_in_pixels, max_snippets, max_docs_per_category, metadata, scores, x_coords, y_coords, original_x, original_y, rescale_x, rescale_y, singleScoreMode, sort_by_dist, reverse_sort_scores_for_not_category, use_full_doc, transform, jitter, gray_zero_scores, term_ranker, asian_mode, use_non_text_features, show_top_terms, show_characteristic, word_vec_use_p_vals, max_p_val, p_value_colors, term_significance, save_svg_button, x_label, y_label, d3_url, d3_scale_chromatic_url, pmi_filter_thresold, alternative_text_field, terms_to_include, semiotic_square, num_terms_semiotic_square, not_categories, neutral_categories, extra_categories, show_neutral, neutral_category_name, get_tooltip_content, x_axis_values, y_axis_values, color_func, term_scorer, show_axes, horizontal_line_y_position, vertical_line_x_position, show_cross_axes, show_extra, extra_category_name, censor_points, center_label_over_points, x_axis_labels, y_axis_labels, topic_model_term_lists, topic_model_preview_size, metadata_descriptions, vertical_lines, characteristic_scorer, term_colors, unified_context, show_category_headings, include_term_category_counts, div_name, alternative_term_func, return_data)
446 extra_categories=extra_categories,
447 background_scorer=characteristic_scorer,
--> 448 include_term_category_counts=include_term_category_counts)
449 if return_data:
450 return scatter_chart_data

~/anaconda3/lib/python3.6/site-packages/scattertext/ScatterChartExplorer.py in to_dict(self, category, category_name, not_category_name, scores, metadata, max_docs_per_category, transform, alternative_text_field, title_case_names, not_categories, neutral_categories, extra_categories, neutral_category_name, extra_category_name, background_scorer, include_term_category_counts)
108 neutral_categories=neutral_categories,
109 extra_categories=extra_categories,
--> 110 background_scorer=background_scorer)
111 docs_getter = self._make_docs_getter(max_docs_per_category, alternative_text_field)
112 if neutral_category_name is None:

~/anaconda3/lib/python3.6/site-packages/scattertext/ScatterChart.py in to_dict(self, category, category_name, not_category_name, scores, transform, title_case_names, not_categories, neutral_categories, extra_categories, background_scorer)
266
267 all_categories = self.term_doc_matrix.get_categories()
--> 268 assert category in all_categories
269
270 if not_categories is None:

AssertionError:

Thank you for helping me out!

from scattertext.

scattertext_use.pdf
Here is an attached pdf of my code and output.

from scattertext.

Works perfectly! Thanks!

from scattertext.