-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathui.py
More file actions
226 lines (187 loc) · 5.57 KB
/
ui.py
File metadata and controls
226 lines (187 loc) · 5.57 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
# ui.py
from ipyfilechooser import FileChooser
import ipywidgets as widgets
fc = FileChooser(
# '/Users/iuriikibalin/Downloads/C60_n3',
'/Users/iuriikibalin/Repositories/magic/run_folder',
title='Select NEXuS file with Single crystal diffraction data',
select_default=False,
)
fc_vanadium = FileChooser(
'/Users/iuriikibalin/Downloads/Vanadium_n3',
title='Select NEXuS file with Vanadium measurements for normatlization (optional)',
select_default=False,
)
load_events_button = widgets.Button(
description="Load",
button_style='success'
)
display_button = widgets.Button(
description="Display",
button_style='info',
layout=widgets.Layout(display='none') # hidden initially
)
hide_output_data_button = widgets.Button(
description="Hide",
button_style='info',
layout=widgets.Layout(display='none') # hidden initially
)
state_dropdown = widgets.Dropdown(
options=['data_event', 'data_event_hist', 'data_cave_monitor', 'data_event_vanadium', 'data_event_vanadium_hist', 'data_cave_monitor_vanadium', 'data_event_normalized_per_monitor', 'data_event_normalized_per_vanadium', 'data_peaks'],
value='data_event',
description='',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
display_da_button = widgets.Button(
description="Show data",
button_style='info',
layout=widgets.Layout(display='none') # hidden initially
)
display_peaks_button = widgets.Button(
description="Display",
button_style='info',
layout=widgets.Layout(display='none') # hidden initially
)
hide_peaks_button = widgets.Button(
description="Hide",
button_style='info',
layout=widgets.Layout(display='none'), # hidden initially
)
find_peaks_button = widgets.Button(
description="Find Peaks",
button_style='success',
layout=widgets.Layout(display='none'), # hidden initially
)
find_peaks_hist_button = widgets.Button(
description="Find Peaks Hist",
button_style='success',
layout=widgets.Layout(display='none'), # hidden initially
)
fig_rbuttons = widgets.RadioButtons(
options=['3D Laue Pattern', '2D Pattern', 'Monitor Data', '3D Normalization Data', '2D Normalization Data'],
value='3D Laue Pattern', # Defaults to 'pineapple'
# layout={'width': 'max-content'}, # If the items' names are long
description='Data to display:',
disabled=False,
layout=widgets.Layout(display='none'), # hidden initially
)
norm_rbuttons = widgets.ToggleButtons(
options=['No Normalization', 'Per Monitor', 'Per Vanadium'],
description='Choose Normalization Condition',
disabled=False,
button_style='', # 'success', 'info', 'warning', 'danger' or ''
tooltips=['No normalization', 'Per Monitor', 'Per Vanadium'],
layout=widgets.Layout(display='none'), # hidden initially
# icons=['check'] * 3
)
cell_a = widgets.BoundedFloatText(
value=14.04078,
min=0,
max=60.0,
step=0.0001,
description='a:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
cell_b = widgets.BoundedFloatText(
value=14.04078,
min=0,
max=60.0,
step=0.0001,
description='b:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
cell_c = widgets.BoundedFloatText(
value=14.04078,
min=0,
max=60.0,
step=0.0001,
description='c:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
cell_alpha = widgets.BoundedFloatText(
value=90,
min=0.1,
max=179.9,
step=0.01,
description='Alpha:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
cell_beta = widgets.BoundedFloatText(
value=90,
min=0.1,
max=179.9,
step=0.0001,
description='Beta:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
cell_gamma = widgets.BoundedFloatText(
value=90,
min=0.1,
max=179.9,
step=0.01,
description='Gamma:',
disabled=False,
layout=widgets.Layout(display='none') # hidden initially
)
indexation_button = widgets.Button(
description="Indexate peaks (find UB)",
button_style='success',
layout=widgets.Layout(display='none') # hidden initially
)
# output = widgets.Output()
output_data = widgets.Output()
peaks_output = widgets.Output() # separate area for peaks table
indexation_output = widgets.Output() # separate area for indexation
ui_fc = widgets.HBox(
[fc, fc_vanadium],
layout=widgets.Layout(align_items='center')
)
ui_hh = widgets.VBox(
[display_button,hide_output_data_button,],
layout=widgets.Layout(align_items='center')
)
ui_control_display = widgets.HBox(
[fig_rbuttons, ui_hh],
layout=widgets.Layout(align_items='center')
)
ui_da_data = widgets.HBox(
[state_dropdown, display_da_button],
layout=widgets.Layout(align_items='center')
)
ui_peaks_button = widgets.HBox(
[display_peaks_button, hide_peaks_button],
layout=widgets.Layout(align_items='center')
)
ui_abc = widgets.HBox(
[cell_a,cell_b,cell_c,],
layout=widgets.Layout(align_items='center')
)
ui_angles = widgets.HBox(
[cell_alpha,cell_beta,cell_gamma,],
layout=widgets.Layout(align_items='center')
)
spinner = widgets.HTML(
"""
<div style="
border: 6px solid #f3f3f3;
border-top: 6px solid #3498db;
border-radius: 50%;
width: 30px;
height: 30px;
animation: spin 1s linear infinite;
margin: 10px auto;
"></div>
<style>
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
</style>
"""
)