.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_interactive_cord19_wordcloud.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_interactive_cord19_wordcloud.py: Interactive CORD-19 with Word Cloud Selection ---------------------------------------------- Demonstrating interactive plotting with a selection handler that generates word clouds from selected points. Use the lasso selection tool to select a region of the map and see a word cloud generated from the paper titles in that region. For a full size version see https://lmcinnes.github.io/datamapplot_examples/CORD19_data_map_example.html .. GENERATED FROM PYTHON SOURCE LINES 13-69 .. raw:: html

.. code-block:: Python import numpy as np import datamapplot import colorcet from datamapplot.selection_handlers import WordCloud # Load the CORD19 data cord19_data_map = np.load("cord19_umap_vectors.npz")["arr_0"] cord19_label_layers = [] for i in range(6): cord19_label_layers.append( np.load(f"cord19_layer{i}_cluster_labels.npz", allow_pickle=True)["arr_0"] ) cord19_hover_text = np.load("cord19_large_hover_text.npz", allow_pickle=True)["arr_0"] cord19_marker_size_array = np.log(1 + np.load("cord19_marker_size_array.npz")["arr_0"]) # Create a WordCloud selection handler # When users lasso-select points, a word cloud will be generated from their titles word_cloud_handler = WordCloud( n_words=100, width=400, height=400, font_family="Cinzel", n_rotations=3, # Allow some rotation for visual interest color_scale="YlGnBu", location="bottom-right", use_idf=True, # Use TF-IDF weighting for better keyword extraction ) # Create the interactive plot with word cloud selection handler plot = datamapplot.create_interactive_plot( cord19_data_map, cord19_label_layers[0], cord19_label_layers[1], cord19_label_layers[2], cord19_label_layers[3], cord19_label_layers[4], cord19_label_layers[5], hover_text=cord19_hover_text, initial_zoom_fraction=0.99, title="CORD-19 Data Map", sub_title="Select a region to generate a word cloud from paper titles", font_family="Cinzel", logo="https://allenai.org/newsletters/archive/2023-03-newsletter_files/927c3ca8-6c75-862c-ee5d-81703ef10a8d.png", logo_width=128, marker_size_array=cord19_marker_size_array, cmap=colorcet.cm.CET_C2s, noise_color="#aaaaaa66", cluster_boundary_polygons=True, enable_search=True, # Selection handler for word clouds selection_handler=word_cloud_handler, inline_data=False, offline_data_prefix="cord_wordcloud_gallery", ) plot.save("cord19_wordcloud.html") plot .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 28.691 seconds) .. _sphx_glr_download_auto_examples_plot_interactive_cord19_wordcloud.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_interactive_cord19_wordcloud.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_interactive_cord19_wordcloud.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_interactive_cord19_wordcloud.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_