annoviko /
pyclustering
| @@ 869-873 (lines=5) @@ | ||
| 866 | if (dimension == 1): |
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| 867 | if (data is None): |
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| 868 | axes.plot(item[0], 0.0, 'w' + marker_descr); |
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| 869 | else: |
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| 870 | axes.plot(data[item][0], 0.0, 'w' + marker_descr); |
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| 871 | ||
| 872 | if (dimension == 2): |
|
| 873 | if (data is None): |
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| 874 | axes.plot(item[0], item[1], 'w' + marker_descr); |
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| 875 | else: |
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| 876 | axes.plot(data[item][0], data[item][1], 'w' + marker_descr); |
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| @@ 848-852 (lines=5) @@ | ||
| 845 | if (dimension == 1): |
|
| 846 | if (data is None): |
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| 847 | axes.plot(item[0], 0.0, color = color, marker = marker_descr); |
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| 848 | else: |
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| 849 | axes.plot(data[item][0], 0.0, color = color, marker = marker_descr); |
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| 850 | ||
| 851 | if (dimension == 2): |
|
| 852 | if (data is None): |
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| 853 | axes.plot(item[0], item[1], color = color, marker = marker_descr); |
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| 854 | else: |
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| 855 | axes.plot(data[item][0], data[item][1], color = color, marker = marker_descr); |
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| @@ 358-362 (lines=5) @@ | ||
| 355 | else: |
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| 356 | ax.plot(data[item][0], data[item][1], color = color, marker = marker, markersize = markersize); |
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| 357 | ||
| 358 | elif (dimension == 3): |
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| 359 | if (data is None): |
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| 360 | ax.scatter(item[0], item[1], item[2], c = color, marker = marker, s = markersize); |
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| 361 | else: |
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| 362 | ax.scatter(data[item][0], data[item][1], data[item][2], c = color, marker = marker, s = markersize); |
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