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def doall():
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# Colors used in Matplotlib online documentation.
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- mpl_blue_rvb = (191. / 255., 209. / 256., 212. / 255.)
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- mpl_orange_rvb = (202. / 255., 121. / 256., 0. / 255.)
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- mpl_grey_rvb = (51. / 255., 51. / 255., 51. / 255.)
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+ mpl_grey_rgb = (51 / 255, 51 / 255, 51 / 255)
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# Creating figure and axis.
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fig = plt.figure(figsize=(6, 7))
@@ -68,7 +66,7 @@ def doall():
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ax.set_xlim(0, 1)
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ax.set_ylim(0, 1)
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ax.set_title("Matplotlib's math rendering engine",
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- color=mpl_grey_rvb , fontsize=14, weight='bold')
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+ color=mpl_grey_rgb , fontsize=14, weight='bold')
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ax.set_xticklabels([])
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ax.set_yticklabels([])
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@@ -79,24 +77,24 @@ def doall():
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full_demo = mathext_demos[0]
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ax.annotate(full_demo,
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xy=(0.5, 1. - 0.59 * line_axesfrac),
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- color=mpl_orange_rvb , ha='center', fontsize=20)
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+ color='tab:orange' , ha='center', fontsize=20)
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# Plotting features demonstration formulae
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for i_line in range(1, n_lines):
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baseline = 1 - i_line * line_axesfrac
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baseline_next = baseline - line_axesfrac
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title = mathtext_titles[i_line] + ":"
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- fill_color = ['white', mpl_blue_rvb ][i_line % 2]
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+ fill_color = ['white', 'tab:blue' ][i_line % 2]
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ax.fill_between([0, 1], [baseline, baseline],
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[baseline_next, baseline_next],
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- color=fill_color, alpha=0.5 )
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+ color=fill_color, alpha=0.2 )
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ax.annotate(title,
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xy=(0.07, baseline - 0.3 * line_axesfrac),
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- color=mpl_grey_rvb , weight='bold')
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+ color=mpl_grey_rgb , weight='bold')
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demo = mathext_demos[i_line]
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ax.annotate(demo,
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xy=(0.05, baseline - 0.75 * line_axesfrac),
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- color=mpl_grey_rvb , fontsize=16)
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+ color=mpl_grey_rgb , fontsize=16)
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for i in range(n_lines):
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s = mathext_demos[i]
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