def compressed_image():
img = Image.open('compressed_image.jpg')
fig = plt.figure()
ax = Subplot(fig, 111)
ax.imshow(img, cmap="gray")
fig.add_subplot(ax)
output = io.BytesIO()
FigureCanvas(fig).print_jpg(output)
return Response(output.getvalue(), mimetype='image/jpg')
def words_in_topic(self, i_topic: int, axis: Subplot) -> AxesImage:
"""Plot the relative importance of words in a given topic.
Parameters
----------
i_topic: int
Index of the topic to plot. Numbering starts at 0.
axis: Subplot
The matplotlib axis to plot into.
Returns
-------
AxesImage
The image with the produced word cloud.
"""
word_given_topic = dict(self.__word_given_topic[i_topic])
wordcloud = self.__wordcloud.generate_from_frequencies(word_given_topic)
axis.set_title(f'Topic {i_topic}')
axis.set_axis_off()
return axis.imshow(wordcloud, interpolation='bilinear')
