<jupyter_start><jupyter_text>Before<jupyter_code>canvas = toyplot.Canvas(width=300)
axes = canvas.cartesian(yshow=False)

x = [-4, -3, -2, -1, 0]
y = [4, 2, 3, 1, 0]
axes.plot(x, y, color=toyplot.color.black)

x = [1, 1, 1, 1, 1]
y = [4, 3, 2, 1, 0]
text = ["a", "b", "c", "d", "e"]
axes.text(x, y, text, color=toyplot.color.black);<jupyter_output><empty_output><jupyter_text>After<jupyter_code>canvas = toyplot.Canvas(width=300)
axes = canvas.cartesian(yshow=False)

x = [-4, -3, -2, -1, 0]
y = [4, 2, 3, 1, 0]
axes.plot(x, y, color=toyplot.color.black)

x = [1, 1, 1, 1, 1]
y = [4, 3, 2, 1, 0]
text = ["a", "b", "c", "d", "e"]

axes.text(x, y, text, color=toyplot.color.black)

axes.x.ticks.locator = toyplot.locator.Explicit([-4, -3, -2, -1, 0])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.24293059125964012, 'fraction_numerical': 0.06555269922879177, 'mean_word_length': 4.524822695035461, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '504373', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 425, 'n_tokens_neox': 386, 'n_words': 87, 'path': 'notebooks/tick-repellent.ipynb', 'repo_name': 'eaton-lab/toyplot', 'size': '778'}