Searched refs:colors (Results 1 – 4 of 4) sorted by relevance
| /libCEED/examples/fluids/ |
| H A D | conv_plot.py | 38 colors = ['orange', 'red', 'navy', 'green', 'magenta',
51 ax.loglog(h, E, 'o', color=colors[i])
52 ax.loglog(h, H, '--', color=colors[i], label='O(h$^' + str(p) + '$)')
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| /libCEED/benchmarks/ |
| H A D | postprocess_plot.py | 38 colors = ['dimgrey', 'black', 'saddlebrown', 'firebrick', 'red', 'orange', variable
115 plot(d[:, 0], d[:, 2], 'o-', color=colors[i % cm_size],
118 plot(d[:, 0], d[:, 1], 'o-', color=colors[i])
120 facecolor=colors[i], alpha=0.2)
140 plot(d[:, 0], d[:, 2], 's--', color=colors[i],
143 plot(d[:, 0], d[:, 1], 's--', color=colors[i])
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| /libCEED/examples/fluids/postprocess/ |
| H A D | vortexshedding.py | 44 ax_drag.tick_params(axis="y", colors=palette[0])
46 ax_lift.tick_params(axis="y", colors=palette[1])
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| /libCEED/ |
| H A D | Doxyfile | 1353 # will adjust the colors in the style sheet and background images according to
1363 # The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
1365 # value of 255 will produce the most vivid colors.
1372 # luminance component of the colors in the HTML output. Values below 100
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