.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_simple.py: Minimal Example =============== Generating a square wordcloud from the US constitution using default arguments. .. rst-class:: sphx-glr-horizontal * .. image:: /auto_examples/images/sphx_glr_simple_001.png :alt: simple :class: sphx-glr-multi-img * .. image:: /auto_examples/images/sphx_glr_simple_002.png :alt: simple :class: sphx-glr-multi-img .. code-block:: default import os from os import path from wordcloud import WordCloud # get data directory (using getcwd() is needed to support running example in generated IPython notebook) d = path.dirname(__file__) if "__file__" in locals() else os.getcwd() # Read the whole text. text = open(path.join(d, 'constitution.txt')).read() # Generate a word cloud image wordcloud = WordCloud().generate(text) # Display the generated image: # the matplotlib way: import matplotlib.pyplot as plt plt.imshow(wordcloud, interpolation='bilinear') plt.axis("off") # lower max_font_size wordcloud = WordCloud(max_font_size=40).generate(text) plt.figure() plt.imshow(wordcloud, interpolation="bilinear") plt.axis("off") plt.show() # The pil way (if you don't have matplotlib) # image = wordcloud.to_image() # image.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 1.001 seconds) .. _sphx_glr_download_auto_examples_simple.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: simple.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: simple.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_