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--------------------------------------------------------------------------- | |
IndexError Traceback (most recent call last) | |
<ipython-input-4-f890f17f75fd> in <module>() | |
----> 1 s.align_zero_loss_peak() | |
C:\ProgramData\Miniconda3\lib\site-packages\hyperspy\_signals\eels.py in align_zero_loss_peak(self, calibrate, also_align, print_stats, subpixel, mask, signal_range, show_progressbar, **kwargs) | |
287 | |
288 zlpc = estimate_zero_loss_peak_centre(self, mask, signal_range) | |
--> 289 mean_ = without_nans(zlpc.data).mean() | |
290 if print_stats is True: |
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--------------------------------------------------------------------------- | |
TraitError Traceback (most recent call last) | |
<ipython-input-88-3fc0a0685cf7> in <module>() | |
----> 1 img, s = hs.load("8.bcf") | |
C:\ProgramData\Miniconda3\envs\35\lib\site-packages\hyperspy\io.py in load(filenames, signal_type, stack, stack_axis, new_axis_name, lazy, **kwds) | |
241 objects = [load_single_file(filename, lazy=lazy, | |
242 **kwds) | |
--> 243 for filename in filenames] | |
244 |
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def check_if_number_is_fftw_prime(numb): | |
import sympy | |
factors = sympy.ntheory.factorint(numb) | |
if len(factors) > 5: | |
return False | |
primes = factors.keys() | |
if max(primes) > 13: | |
return False | |
n11 = 0 | |
n13 = 0 |
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λ pip install pyprismatic | |
Collecting pyprismatic | |
Using cached PyPrismatic-1.1.15.tar.gz | |
Collecting numpy>=1.13.0 (from pyprismatic) | |
Using cached numpy-1.13.3-cp35-none-win_amd64.whl | |
Collecting matplotlib>=2.0.2 (from pyprismatic) | |
Using cached matplotlib-2.1.0-cp35-cp35m-win_amd64.whl | |
Requirement already satisfied: pytz in c:\programdata\miniconda3\lib\site-packages (from matplotlib>=2.0.2->pyprismatic) | |
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\programdata\miniconda3\lib\site-packages (from matplotlib>=2.0.2->pyprismatic) | |
Requirement already satisfied: python-dateutil>=2.0 in c:\programdata\miniconda3\lib\site-packages (from matplotlib>=2.0.2->pyprismatic) |
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[I 13:34:12.255 NotebookApp] Adapting to protocol v5.1 for kernel 879c9343-88fe-43f2-a9d7-9416223907b7 | |
COMPILED FOR GPU | |
Simulation parameters: | |
===================== | |
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def save_cell_for_prismatic(sample, name, path=""): | |
"Auto-adds 'prismatic' to filename" | |
import os | |
import numpy as np | |
if path == "": | |
path = os.getcwd() | |
name += "_Prismatic" | |
total = np.zeros(len(sample.numbers), dtype=[('Z', 'int8'), ("x", 'float'), ("y", 'float'), ("z", 'float'), ('occ', 'int'), ('dw', 'float')]) |
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--------------------------------------------------------------------------- | |
ValueError Traceback (most recent call last) | |
<ipython-input-18-0e1e17072b32> in <module>() | |
----> 1 SED, SI = acquirer.start() | |
2 #plt.imshow(a) | |
<ipython-input-16-abe1af516896> in start(self) | |
197 ''' | |
198 #SE = self.acquire_large_SE_image() | |
--> 199 SED, SI = self.acquire_cube() |
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sem = model.getComponent(name="SEM Detector") | |
spec = model.getComponent(name="UV Spectrometer") | |
stream = SEMSpectrumMDStream("test", sem, spec) | |
--------------------------------------------------------------- | |
AssertionError Traceback (most recent call last) | |
<ipython-input-173-dab28defdbf6> in <module>() | |
1 sem = model.getComponent(name="SEM Detector") | |
2 spec = model.getComponent(name="UV Spectrometer") | |
----> 3 stream = SEMSpectrumMDStream("thomas", sem, spec) |
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--------------------------------------------------------------- | |
ConnectionClosedError Traceback (most recent call last) | |
<ipython-input-16-248a991767f8> in <module>() | |
----> 1 SE, SI = acquirer.start() | |
/home/sparc/development/notebooks_thomas/tools_acquire.py in start(self) | |
252 ''' | |
253 #SE = self.acquire_large_SE_image() | |
--> 254 SED, SI = self.acquire_cube() | |
255 return SED, SI |
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### The intention is to create a script that acquires both from the secondary electron detector | |
### and the CL detector (UV spectrometer) whilst scanning over a rectangular grid on the sample. | |
# In order to define the various streams, I import the following | |
from odemis.acq.stream import SEMStream, CameraStream, SEMMDStream | |
from odemis import model | |
escan = model.getComponent(name="SEM E-beam") | |
sed = model.getComponent(name="SEM Detector") | |
spec = model.getComponent(name="UV Spectrometer") |