1 | from pymantidplot.future.pyplot import * |
---|
2 | |
---|
3 | ## plot arrays |
---|
4 | plot([0.1, 0.3, 0.2, 4]) |
---|
5 | plot([0.1, 0.2, 0.3, 0.4], [1.2, 1.3, 0.2, 0.8]) |
---|
6 | |
---|
7 | |
---|
8 | # Loads |
---|
9 | ws = Load("MAR11060.raw", OutputWorkspace="foo") |
---|
10 | mar = Load('MAR11060.raw', OutputWorkspace="MAR11060") |
---|
11 | loq=Load('LOQ48097.raw', OutputWorkspace="LOQ48097") |
---|
12 | ws2 = Load('HRP39182.RAW', OutputWorkspace="HRP39182") |
---|
13 | |
---|
14 | ## plot workspaces |
---|
15 | plot(ws, 100) |
---|
16 | plot(ws, [100, 101, 102]) |
---|
17 | plot('MAR11060', [10,100,500]) |
---|
18 | plot(mar,[3, 500, 800]) |
---|
19 | yscale('log') |
---|
20 | plot([mar, 'LOQ48097'], [800, 900]) |
---|
21 | plot([mar, loq], [800, 900]) |
---|
22 | plot(['MAR11060', loq], [800, 900]) |
---|
23 | plot(['MAR11060', loq], [800, 900], tool='plot_spectrum') |
---|
24 | |
---|
25 | # tools |
---|
26 | plot_spectrum(['MAR11060', loq], [800, 900]) |
---|
27 | plot(ws, [1, 5, 7, 100], tool='plot_bin') |
---|
28 | |
---|
29 | plot_bin(ws, [1, 5, 7, 100], linewidth=4, linestyle=':') |
---|
30 | xscale('log') |
---|
31 | |
---|
32 | simple_md_ws = CreateMDWorkspace(Dimensions='3',Extents='0,10,0,10,0,10',Names='x,y,z',Units='m,m,m',SplitInto='5',MaxRecursionDepth='20',OutputWorkspace=MDWWorkspaceName) |
---|
33 | plot(simple_md_ws, tool='plot_md') |
---|
34 | plot_md(simple_md_wsws) |
---|
35 | |
---|
36 | # some plot properties |
---|
37 | a = [0.1, 0.3, 0.2, 4] |
---|
38 | plot(a) |
---|
39 | import numpy as np |
---|
40 | y = np.sin(np.linspace(-2.28, 2.28, 1000)) |
---|
41 | plot(y, linestyle='-.', marker='o', color='red') |
---|
42 | plot(1.5*y, '-.g', hold='on') |
---|
43 | plot(0.8*y, ':b', hold='on') |
---|
44 | plot(1.2*y, '--c', hold='on') |
---|
45 | xscale('log') |
---|
46 | yscale('log') |
---|
47 | |
---|
48 | # plot properties and return lines |
---|
49 | lines = plot([ws2], 0, '-r') # solid (default) |
---|
50 | lines = plot([ws, ws2], 0, '-.c') # dash-dotted |
---|
51 | lines = plot(ws, 0, '--m') # dashed |
---|
52 | lines = plot(ws, [0,1], ':g') # dotted |
---|
53 | lines = plot(loq, [100, 104], tool='plot_spectrum', linestyle='-.', marker='*', color='red') |
---|
54 | lines[0].get_xdata() |
---|
55 | lines[0].get_ydata() |
---|
56 | fig = lines[0].figure() |
---|
57 | fig.suptitle('Example figure title') |
---|
58 | |
---|
59 | # functions |
---|
60 | title('Test plot of LOQ') |
---|
61 | xlabel('ToF') |
---|
62 | ylabel('Counts') |
---|
63 | ylim(0, 8) |
---|
64 | xlim(1e3, 4e4) |
---|
65 | xscale('log') |
---|
66 | grid('on') |
---|
67 | savefig('example_saved_figure.png') |
---|
68 | |
---|
69 | # hold |
---|
70 | lines = plot(loq, [100, 102], linestyle='-.', color='red') |
---|
71 | lines = plot(loq, 100, linestyle='-.', color='red') |
---|
72 | lines = plot(loq, 102, linestyle='-.', color='blue', hold='on') |
---|
73 | lines = plot(loq, 103, linestyle=':', color='m', hold='on') |
---|
74 | lines = plot(loq, 104, linestyle=':', color='k', hold='on') |
---|
75 | |
---|
76 | # multi-plot |
---|
77 | plot(ws, [100, 101], 'r', ws, [200, 201], 'b', tool='plot_spectrum') |
---|
78 | plot(ws, [100, 101], 'm', mar, [50, 41], 'b', tool='plot_spectrum') |
---|
79 | |
---|
80 | # other examples, used to fail |
---|
81 | ws = CreateWorkspace([1,2,3], [1.1,2.8,3.2]) |
---|
82 | lines = plot([ws], [0], '--r', [ws], [0], 'g') |
---|
83 | lines = plot([ws], [0], 'r', [ws], [0], 'g') |
---|
84 | title('myplot_1') |
---|
85 | xlabel('x') |
---|
86 | figure(0) |
---|
87 | title('myplot_0') |
---|
88 | xlabel('x') |
---|
89 | print dir(lines[0]) |
---|
90 | |
---|
91 | # Axes |
---|
92 | lines = plot(mar,[3, 500, 800]) |
---|
93 | fig = lines[0].figure() |
---|
94 | all_ax = fig.axes() # fig.axes() returns in principle a list |
---|
95 | ax = all_ax[0] # but we only use one axes |
---|
96 | ax.set_ylabel('--- Counts ---') |
---|
97 | ax.set_xlabel('--- ToF ---') |
---|
98 | ax.set_ylim(0, 25) |
---|
99 | ax.set_xlim(1e2, 4e4) |
---|
100 | ax.set_xscale('log') |
---|
101 | ax.set_yscale('log') |
---|
102 | ax.set_yscale('linear') |
---|
103 | |
---|