|
10 | 10 | }, |
11 | 11 | { |
12 | 12 | "cell_type": "code", |
13 | | - "execution_count": 13, |
| 13 | + "execution_count": null, |
14 | 14 | "id": "1", |
15 | 15 | "metadata": {}, |
16 | | - "outputs": [ |
17 | | - { |
18 | | - "name": "stdout", |
19 | | - "output_type": "stream", |
20 | | - "text": [ |
21 | | - "The autoreload extension is already loaded. To reload it, use:\n", |
22 | | - " %reload_ext autoreload\n" |
23 | | - ] |
24 | | - } |
25 | | - ], |
| 16 | + "outputs": [], |
26 | 17 | "source": [ |
27 | 18 | "from maxplotlib import Canvas\n", |
28 | 19 | "\n", |
|
32 | 23 | }, |
33 | 24 | { |
34 | 25 | "cell_type": "code", |
35 | | - "execution_count": 16, |
| 26 | + "execution_count": null, |
36 | 27 | "id": "2", |
37 | 28 | "metadata": {}, |
38 | | - "outputs": [ |
39 | | - { |
40 | | - "name": "stdout", |
41 | | - "output_type": "stream", |
42 | | - "text": [ |
43 | | - "len(self.subplots) = 1\n", |
44 | | - "Plotting subplot at row 0, col 0\n", |
45 | | - "line_plot = <maxplotlib.subfigure.line_plot.LinePlot object at 0x111b58350>\n" |
46 | | - ] |
47 | | - }, |
48 | | - { |
49 | | - "data": { |
50 | | - "image/png": "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", |
51 | | - "text/plain": [ |
52 | | - "<IPython.core.display.Image object>" |
53 | | - ] |
54 | | - }, |
55 | | - "metadata": {}, |
56 | | - "output_type": "display_data" |
57 | | - } |
58 | | - ], |
| 29 | + "outputs": [], |
59 | 30 | "source": [ |
60 | 31 | "c = Canvas(width=\"17cm\", ratio=0.5)\n", |
61 | 32 | "sp = c.add_subplot(grid=False, xlabel=\"x\", ylabel=\"y\")\n", |
62 | 33 | "sp.add_line([0, 1, 2, 3], [0, 1, 0, 2], label=\"Line 1\", layer=1, line_width=2.0)\n", |
63 | 34 | "\n", |
64 | | - "c.show(backend=\"tikzpics\")" |
| 35 | + "\n", |
| 36 | + "# TODO: Uncomment if pdflatex is installed\n", |
| 37 | + "# c.show(backend=\"tikzpics\")" |
65 | 38 | ] |
66 | 39 | } |
67 | 40 | ], |
68 | 41 | "metadata": { |
69 | 42 | "kernelspec": { |
70 | | - "display_name": ".venv", |
| 43 | + "display_name": "env_maxpic", |
71 | 44 | "language": "python", |
72 | 45 | "name": "python3" |
73 | 46 | }, |
|
81 | 54 | "name": "python", |
82 | 55 | "nbconvert_exporter": "python", |
83 | 56 | "pygments_lexer": "ipython3", |
84 | | - "version": "3.14.2" |
| 57 | + "version": "3.13.3" |
85 | 58 | } |
86 | 59 | }, |
87 | 60 | "nbformat": 4, |
|
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