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Whitfield, Ross
wand
Commits
7719117b
Commit
7719117b
authored
Aug 07, 2018
by
Whitfield, Ross
Browse files
Update autoreduce/reduce_HB2C.py autoreduce/reduce_HB2C2.py
parent
3ed2606a
Changes
2
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Inline
Side-by-side
autoreduce/reduce_HB2C.py
View file @
7719117b
...
...
@@ -2,6 +2,7 @@
import
os
import
sys
import
h5py
from
postprocessing.publish_plot
import
publish_plot
filename
=
sys
.
argv
[
1
]
output_file
=
os
.
path
.
split
(
filename
)[
-
1
].
replace
(
'.nxs.h5'
,
''
)
...
...
@@ -13,7 +14,7 @@ with h5py.File(filename, 'r') as f:
if
'/entry/DASlogs/HB2C:CS:ITEMS:Nature'
in
f
:
nature
=
f
[
'/entry/DASlogs/HB2C:CS:ITEMS:Nature/value'
].
value
[
0
][
0
]
if
nature
==
'Powder'
:
powder
=
Fals
e
powder
=
Tru
e
if
powder
:
...
...
@@ -29,7 +30,6 @@ if powder:
NumberBins
=
1000
,
OutputWorkspace
=
'reduced'
)
div
=
SavePlot1D
(
'reduced'
,
OutputType
=
'plotly'
)
from
postprocessing.publish_plot
import
publish_plot
request
=
publish_plot
(
'HB2C'
,
runNumber
,
files
=
{
'file'
:
div
})
else
:
# Single Crystal
...
...
autoreduce/reduce_HB2C2.py
0 → 100755
View file @
7719117b
#!/usr/bin/env python2
import
os
import
sys
import
h5py
try
:
from
postprocessing.publish_plot
import
publish_plot
,
plot_heatmap
except
ImportError
:
from
finddata
import
publish_plot
filename
=
sys
.
argv
[
1
]
output_file
=
os
.
path
.
split
(
filename
)[
-
1
].
replace
(
'.nxs.h5'
,
''
)
outdir
=
sys
.
argv
[
2
]
powder
=
False
with
h5py
.
File
(
filename
,
'r'
)
as
f
:
if
'/entry/DASlogs/HB2C:CS:ITEMS:Nature'
in
f
:
nature
=
f
[
'/entry/DASlogs/HB2C:CS:ITEMS:Nature/value'
].
value
[
0
][
0
]
if
nature
==
'Powder'
:
powder
=
True
if
powder
:
sys
.
path
.
append
(
"/opt/mantidnightly/bin"
)
from
mantid.simpleapi
import
LoadWAND
,
WANDPowderReduction
,
SavePlot1D
data
=
LoadWAND
(
filename
)
runNumber
=
data
.
getRunNumber
()
cal
=
LoadWAND
(
IPTS
=
7776
,
RunNumbers
=
101567
)
WANDPowderReduction
(
InputWorkspace
=
data
,
CalibrationWorkspace
=
cal
,
Target
=
'Theta'
,
NumberBins
=
1000
,
OutputWorkspace
=
'reduced'
)
div
=
SavePlot1D
(
'reduced'
,
OutputType
=
'plotly'
)
request
=
publish_plot
(
'HB2C'
,
runNumber
,
files
=
{
'file'
:
div
})
else
:
# Single Crystal
from
plotly.offline
import
plot
import
plotly.graph_objs
as
go
import
numpy
as
np
with
h5py
.
File
(
filename
,
'r'
)
as
f
:
offset
=
f
[
'/entry/DASlogs/HB2C:Mot:s2.RBV/average_value'
].
value
[
0
]
title
=
f
[
'/entry/title'
].
value
[
0
]
mon
=
f
[
'/entry/monitor1/total_counts'
].
value
[
0
]
duration
=
f
[
'/entry/duration'
].
value
[
0
]
run_number
=
f
[
'/entry/run_number'
].
value
[
0
]
bc
=
np
.
zeros
((
512
*
480
*
8
))
for
b
in
range
(
8
):
bc
+=
np
.
bincount
(
f
[
'/entry/bank'
+
str
(
b
+
1
)
+
'_events/event_id'
].
value
,
minlength
=
512
*
480
*
8
)
bc
=
bc
.
reshape
((
480
*
8
,
512
))
bc
=
(
bc
[::
4
,
::
4
]
+
bc
[
1
::
4
,
::
4
]
+
bc
[
2
::
4
,
::
4
]
+
bc
[
3
::
4
,
::
4
]
+
bc
[::
4
,
1
::
4
]
+
bc
[
1
::
4
,
1
::
4
]
+
bc
[
2
::
4
,
1
::
4
]
+
bc
[
3
::
4
,
1
::
4
]
+
bc
[::
4
,
2
::
4
]
+
bc
[
1
::
4
,
2
::
4
]
+
bc
[
2
::
4
,
2
::
4
]
+
bc
[
3
::
4
,
2
::
4
]
+
bc
[::
4
,
3
::
4
]
+
bc
[
1
::
4
,
3
::
4
]
+
bc
[
2
::
4
,
3
::
4
]
+
bc
[
3
::
4
,
3
::
4
])
vanadium
=
np
.
load
(
'/HFIR/HB2C/shared/autoreduce/vanadium_101567.npy'
)
vanadium_mon
=
163519902
bc
=
bc
/
vanadium
*
vanadium_mon
/
mon
plot_heatmap
(
run_number
,
np
.
linspace
(
120
+
offset
,
offset
,
960
),
np
.
arange
(
0
,
128
),
bc
.
T
,
x_title
=
u
'2theta'
,
instrument
=
'HB2C'
)
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