<jupyter_start><jupyter_text><jupyter_code>import matplotlib.pyplot as plt

labels = 'S1', 'S2', 'S3'
sections = [56, 66, 24]
colors = ['c', 'g', 'y']

plt.pie(sections, labels=labels, colors=colors,
        startangle=90,
        explode = (0, 0.1, 0),
        autopct = '%1.2f%%')

plt.axis('equal') # Try commenting this out.
plt.title('Pie Chart Example')
plt.show()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1875, 'fraction_numerical': 0.0425, 'mean_word_length': 4.276315789473684, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '389475', 'license': 'CC0-1.0', 'n_tokens_mistral': 173, 'n_tokens_neox': 161, 'n_words': 35, 'path': 'Charts5.ipynb', 'repo_name': 'Amro-source/DataVisualization', 'size': '400'}