Closed Lplantard closed 1 year ago
C:\Users\planlaur\Anaconda3\envs>call C:\Users\planlaur\Anaconda3\condabin\conda activate PSF-analysis 15:15:37 ERROR Failed to bootstrap the artifact. 15:15:37 ERROR 15:15:37 ERROR Possible solutions: 15:15:37 ERROR * Double check the endpoint for correctness (https://search.maven.org/). 15:15:37 ERROR * Add needed repositories to ~/.jgorc [repositories] block (see README). 15:15:37 ERROR * Try with an explicit version number (release metadata might be wrong). 15:15:37 ERROR 15:15:37 ERROR Full Maven error output: 15:15:37 ERROR [ERROR] [ERROR] Some problems were encountered while processing the POMs: 15:15:37 ERROR [ERROR] Non-resolvable import POM: Failed to resolve version for ome:formats-gpl:pom:LATEST: Could not find metadata ome:formats-gpl/maven-metadata.xml in local (C:\Users\planlaur\.m2\repository) @ line 8, column 29 15:15:37 ERROR [ERROR] The build could not read 1 project -> [Help 1] 15:15:37 ERROR [ERROR] 15:15:37 ERROR [ERROR] The project ome-BOOTSTRAPPER:formats-gpl-BOOTSTRAPPER:0 (C:\Users\planlaur\.jgo\ome\formats-gpl\LATEST\a2636a97ad34ecd06cc988e7b7979037cef5dcedcee036fc3307ab9af368c011\pom.xml) has 1 error 15:15:37 ERROR [ERROR] Non-resolvable import POM: Failed to resolve version for ome:formats-gpl:pom:LATEST: Could not find metadata ome:formats-gpl/maven-metadata.xml in local (C:\Users\planlaur\.m2\repository) @ line 8, column 29 -> [Help 2] 15:15:37 ERROR [ERROR] 15:15:37 ERROR [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. 15:15:37 ERROR [ERROR] Re-run Maven using the -X switch to enable full debug logging. 15:15:37 ERROR [ERROR] 15:15:37 ERROR [ERROR] For more information about the errors and possible solutions, please read the following articles: 15:15:37 ERROR [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/ProjectBuildingException 15:15:37 ERROR [ERROR] [Help 2] http://cwiki.apache.org/confluence/display/MAVEN/UnresolvableModelException 15:15:37 ERROR --------------------------------------------------------------------------- ValueError Traceback (most recent call last) File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:617, in create_worker.<locals>.reraise(e=ValueError('cannot convert float NaN to integer')) 616 def reraise(e): --> 617 raise e e = ValueError('cannot convert float NaN to integer') File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:178, in WorkerBase.run(self=<napari._qt.qthreading.FunctionWorker object>) 176 warnings.filterwarnings("always") 177 warnings.showwarning = lambda *w: self.warned.emit(w) --> 178 result = self.work() self = <napari._qt.qthreading.FunctionWorker object at 0x0000021DE4D30430> 179 if isinstance(result, Exception): 180 if isinstance(result, RuntimeError): 181 # The Worker object has likely been deleted. 182 # A deleted wrapped C/C++ object may result in a runtime 183 # error that will cause segfault if we try to do much other 184 # than simply notify the user. File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:358, in FunctionWorker.work(self=<napari._qt.qthreading.FunctionWorker object>) 357 def work(self) -> _R: --> 358 return self._func(*self._args, **self._kwargs) self._func = <function PsfAnalysis.measure at 0x0000021DE5F82D30> self = <napari._qt.qthreading.FunctionWorker object at 0x0000021DE4D30430> self._args = (<napari_psf_analysis._dock_widget.PsfAnalysis object at 0x0000021DD3C15F70>, 'Stellaris8', 63, 1.4, 200.0, 36.1, 6000.0, 2000.0, '20230719_PSF_Stellaris8_63X_1.lif', <class 'numpy.ndarray'> (52, 512, 512) uint16, <class 'numpy.ndarray'> (1, 3) float64) self._kwargs = {} File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\_dock_widget.py:448, in PsfAnalysis.measure(self=<napari_psf_analysis._dock_widget.PsfAnalysis object>, microscope='Stellaris8', magnification=63, na=1.4, z_spacing=200.0, xy_pixelsize=36.1, psf_box_size_z=6000.0, psf_box_size_yx=2000.0, name='20230719_PSF_Stellaris8_63X_1.lif', img_data=<class 'numpy.ndarray'> (52, 512, 512) uint16, point_data=<class 'numpy.ndarray'> (1, 3) float64) 445 for bead, offset in zip(beads, offsets): 446 res = analyze_bead(bead=bead, spacing=spacing) --> 448 summary_fig = build_summary_figure( bead = <class 'numpy.ndarray'> (30, 55, 55) uint16 spacing = (200.0, 36.1, 36.1) res = {'z_bg': 911.5808059328485, 'z_amp': 58417.9224376982, 'z_mu': 3097.356118968857, 'z_sigma': 262.8886511237421, 'yx_bg': 38162760.01713956, 'yx_amp': -38157535.226886734, 'y_mu': 946.3998724585031, 'x_mu': 966.1914903862572, 'yx_cyy': -3592437439.2636957, 'yx_cyx': -20343663.806498874, 'yx_cxx': -3534867304.2507267, 'z_fwhm': 619.0554652773359, 'y_fwhm': nan, 'x_fwhm': nan, 'zyx_bg': 334.8472581426327, 'zyx_amp': 39510.20648792306, 'zyx_z_mu': 3011.834697865915, 'zyx_y_mu': 979.7227326127183, 'zyx_x_mu': 977.2699175048101, 'zyx_czz': 146560.20479439007, 'zyx_czy': -16242.326400654192, 'zyx_czx': 14333.364541305658, 'zyx_cyy': 25281.396657410736, 'zyx_cyx': -656.0389576544965, 'zyx_cxx': 26339.772815400986, 'zyx_z_fwhm': 901.5000509618162, 'zyx_y_fwhm': 374.4193244340027, 'zyx_x_fwhm': 382.17628669068085, 'zyx_pc1_fwhm': 913.0695933719419, 'zyx_pc2_fwhm': 374.96733452239425, 'zyx_pc3_fwhm': 353.064161595618, 'z_bg_sde': 396.3803255964697, 'z_amp_sde': 1551.2069648790518, 'z_mu_sde': 7.927959381475837, 'z_sigma_sde': 8.319830108054067, 'yx_bg_sde': 4149747589.0038185, 'yx_amp_sde': 4149747583.9285927, 'y_mu_sde': 15.74746610033358, 'x_mu_sde': 15.430628277546742, 'yx_cyy_sde': 390652307056.60443, 'yx_cyx_sde': 2218967193.3288727, 'yx_cxx_sde': 384386250145.3017, 'zyx_bg_sde': 3.2136962525644277, 'zyx_amp_sde': 106.54165312044952, 'zyx_z_mu_sde': 0.9225547572950137, 'zyx_y_mu_sde': 0.3831744858487225, 'zyx_x_mu_sde': 0.39110589683461966, 'zyx_czz_sde': 709.5907152820918, 'zyx_czy_sde': 214.8463918048904, 'zyx_czx_sde': 217.41240893302754, 'zyx_cyy_sde': 122.40996530124856, 'zyx_cyx_sde': 87.97760727530742, 'zyx_cxx_sde': 127.52999505879724} res["z_mu"] = 3097.356118968857 res["y_mu"] = 946.3998724585031 res["x_mu"] = 966.1914903862572 (res["z_mu"], res["y_mu"], res["x_mu"]) = (3097.356118968857, 946.3998724585031, 966.1914903862572) (res["z_fwhm"], res["y_fwhm"], res["x_fwhm"]) = (619.0554652773359, nan, nan) res["z_fwhm"] = 619.0554652773359 res["y_fwhm"] = nan res["x_fwhm"] = nan np = <module 'numpy' from 'C:\\Users\\planlaur\\Anaconda3\\envs\\PSF-analysis\\lib\\site-packages\\numpy\\__init__.py'> [ [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]], [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]], [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]], ] = [[26339.772815400986, -656.0389576544965, 14333.364541305658], [-656.0389576544965, 25281.396657410736, -16242.326400654192], [14333.364541305658, -16242.326400654192, 146560.20479439007]] [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]] = [26339.772815400986, -656.0389576544965, 14333.364541305658] res["zyx_cxx"] = 26339.772815400986 res["zyx_cyx"] = -656.0389576544965 res["zyx_czx"] = 14333.364541305658 [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]] = [-656.0389576544965, 25281.396657410736, -16242.326400654192] res["zyx_cyy"] = 25281.396657410736 res["zyx_czy"] = -16242.326400654192 [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]] = [14333.364541305658, -16242.326400654192, 146560.20479439007] res["zyx_czz"] = 146560.20479439007 date = '2023-07-19' version = '1.0.1' 449 bead_img=bead, 450 spacing=spacing, 451 location=(res["z_mu"], res["y_mu"], res["x_mu"]), 452 fwhm_values=(res["z_fwhm"], res["y_fwhm"], res["x_fwhm"]), 453 cov_matrix_3d=np.array( 454 [ 455 [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]], 456 [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]], 457 [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]], 458 ] 459 ), 460 date=date, 461 version=version, 462 ) 463 yx_cov_matrix = np.array( 464 [[res["yx_cyy"], res["yx_cyx"]], [res["yx_cyx"], res["yx_cxx"]]] 465 ) 466 yx_pc = np.sort(np.sqrt(np.linalg.eigvals(yx_cov_matrix)))[::-1] File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\psf_analysis\psf_analysis.py:551, in build_summary_figure(bead_img=<class 'numpy.ndarray'> (30, 55, 55) uint16, spacing=(200.0, 36.1, 36.1), location=(3097.356118968857, 946.3998724585031, 966.1914903862572), fwhm_values=(619.0554652773359, nan, nan), cov_matrix_3d=<class 'numpy.ndarray'> (3, 3) float64, date='2023-07-19', version='1.0.1') 541 ax_xy.set_yticks([]) 542 ax_xy.imshow( 543 yx_sqrt_projection, 544 cmap=cmap, (...) 548 origin="lower", 549 ) --> 551 _draw_fwhm( ax_xy = <Axes: > yx_sqrt_projection = <class 'numpy.ndarray'> (1444, 1444) float32 fwhm_values = (619.0554652773359, nan, nan) fwhm_values[1:] = (nan, nan) 552 ax_xy, 553 spacing=4000 / yx_sqrt_projection.shape[1], 554 fwhm=fwhm_values[1:], 555 shape=yx_sqrt_projection.shape, 556 ) 558 ax_zx.set_xticks([]) 559 ax_zx.set_yticks([]) File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\psf_analysis\psf_analysis.py:422, in _draw_fwhm(axes=<Axes: >, shape=(1444, 1444), spacing=2.770083102493075, fwhm=(nan, nan), down=False) 417 axes.plot([cx - dx, cx - dx], [cy - dy, shape[1] / 4], "--", c="white") 418 axes.plot([cx + dx, cx + dx], [cy - dy, shape[1] / 4], "--", c="white") 419 axes.text( 420 cx, 421 shape[1] / 4.5, --> 422 f"{int(np.round(x_fwhm))}nm", axes = <Axes: > cx = 722.0 shape[1] = 1444 shape[1] / 4.5 = 320.8888888888889 shape = (1444, 1444) x_fwhm = nan np.round = <function round at 0x0000021DC962E830> np = <module 'numpy' from 'C:\\Users\\planlaur\\Anaconda3\\envs\\PSF-analysis\\lib\\site-packages\\numpy\\__init__.py'> 423 ha="center", 424 va="top", 425 fontsize=15, 426 bbox=dict(facecolor="white", alpha=0.8, linewidth=0), 427 ) 429 axes.plot( 430 [ 431 shape[0] / 4, (...) 437 solid_capstyle="butt", 438 ) 439 axes.plot( 440 [ 441 shape[0] / 4, (...) 447 solid_capstyle="butt", 448 ) ValueError: cannot convert float NaN to integer 15:17:49 ERROR Failed to bootstrap the artifact. 15:17:49 ERROR 15:17:49 ERROR Possible solutions: 15:17:49 ERROR * Double check the endpoint for correctness (https://search.maven.org/). 15:17:49 ERROR * Add needed repositories to ~/.jgorc [repositories] block (see README). 15:17:49 ERROR * Try with an explicit version number (release metadata might be wrong). 15:17:49 ERROR 15:17:49 ERROR Full Maven error output: 15:17:49 ERROR [ERROR] [ERROR] Some problems were encountered while processing the POMs: 15:17:49 ERROR [ERROR] Non-resolvable import POM: Failed to resolve version for ome:formats-gpl:pom:LATEST: Could not find metadata ome:formats-gpl/maven-metadata.xml in local (C:\Users\planlaur\.m2\repository) @ line 8, column 29 15:17:49 ERROR [ERROR] The build could not read 1 project -> [Help 1] 15:17:49 ERROR [ERROR] 15:17:49 ERROR [ERROR] The project ome-BOOTSTRAPPER:formats-gpl-BOOTSTRAPPER:0 (C:\Users\planlaur\.jgo\ome\formats-gpl\LATEST\a2636a97ad34ecd06cc988e7b7979037cef5dcedcee036fc3307ab9af368c011\pom.xml) has 1 error 15:17:49 ERROR [ERROR] Non-resolvable import POM: Failed to resolve version for ome:formats-gpl:pom:LATEST: Could not find metadata ome:formats-gpl/maven-metadata.xml in local (C:\Users\planlaur\.m2\repository) @ line 8, column 29 -> [Help 2] 15:17:49 ERROR [ERROR] 15:17:49 ERROR [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. 15:17:49 ERROR [ERROR] Re-run Maven using the -X switch to enable full debug logging. 15:17:49 ERROR [ERROR] 15:17:49 ERROR [ERROR] For more information about the errors and possible solutions, please read the following articles: 15:17:49 ERROR [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/ProjectBuildingException 15:17:49 ERROR [ERROR] [Help 2] http://cwiki.apache.org/confluence/display/MAVEN/UnresolvableModelException 15:17:49 ERROR --------------------------------------------------------------------------- ValueError Traceback (most recent call last) File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:617, in create_worker.<locals>.reraise(e=ValueError('cannot convert float NaN to integer')) 616 def reraise(e): --> 617 raise e e = ValueError('cannot convert float NaN to integer') File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:178, in WorkerBase.run(self=<napari._qt.qthreading.FunctionWorker object>) 176 warnings.filterwarnings("always") 177 warnings.showwarning = lambda *w: self.warned.emit(w) --> 178 result = self.work() self = <napari._qt.qthreading.FunctionWorker object at 0x0000021DEEEED790> 179 if isinstance(result, Exception): 180 if isinstance(result, RuntimeError): 181 # The Worker object has likely been deleted. 182 # A deleted wrapped C/C++ object may result in a runtime 183 # error that will cause segfault if we try to do much other 184 # than simply notify the user. File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\superqt\utils\_qthreading.py:358, in FunctionWorker.work(self=<napari._qt.qthreading.FunctionWorker object>) 357 def work(self) -> _R: --> 358 return self._func(*self._args, **self._kwargs) self._func = <function PsfAnalysis.measure at 0x0000021DE5F82D30> self = <napari._qt.qthreading.FunctionWorker object at 0x0000021DEEEED790> self._args = (<napari_psf_analysis._dock_widget.PsfAnalysis object at 0x0000021DE1CD0D30>, 'Stellaris8', 63, 1.4, 200.0, 36.0, 6000.0, 2000.0, '20230719_PSF_Stellaris8_63X_1.tif', <class 'numpy.ndarray'> (52, 512, 512) uint16, <class 'numpy.ndarray'> (1, 3) float64) self._kwargs = {} File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\_dock_widget.py:448, in PsfAnalysis.measure(self=<napari_psf_analysis._dock_widget.PsfAnalysis object>, microscope='Stellaris8', magnification=63, na=1.4, z_spacing=200.0, xy_pixelsize=36.0, psf_box_size_z=6000.0, psf_box_size_yx=2000.0, name='20230719_PSF_Stellaris8_63X_1.tif', img_data=<class 'numpy.ndarray'> (52, 512, 512) uint16, point_data=<class 'numpy.ndarray'> (1, 3) float64) 445 for bead, offset in zip(beads, offsets): 446 res = analyze_bead(bead=bead, spacing=spacing) --> 448 summary_fig = build_summary_figure( bead = <class 'numpy.ndarray'> (30, 55, 55) uint16 spacing = (200.0, 36.0, 36.0) res = {'z_bg': 911.5808059328485, 'z_amp': 58417.9224376982, 'z_mu': 3097.356118968857, 'z_sigma': 262.8886511237421, 'yx_bg': 117467013.95361866, 'yx_amp': -117461788.88858593, 'y_mu': 943.7655673388606, 'x_mu': 963.4849150753824, 'yx_cyy': -10996436993.613564, 'yx_cyx': -70532654.86219636, 'yx_cxx': -10820158740.89201, 'z_fwhm': 619.0554652773359, 'y_fwhm': nan, 'x_fwhm': nan, 'zyx_bg': 334.84726121673725, 'zyx_amp': 39510.20702939531, 'zyx_z_mu': 3011.834701518852, 'zyx_y_mu': 977.0088178712949, 'zyx_x_mu': 974.5627990373486, 'zyx_czz': 146560.20334410015, 'zyx_czy': -16197.333051058567, 'zyx_czx': 14293.659591418274, 'zyx_cyy': 25141.52674313579, 'zyx_cyx': -652.4092493049167, 'zyx_cxx': 26194.04767278325, 'zyx_z_fwhm': 901.5000465014087, 'zyx_y_fwhm': 373.3821460860392, 'zyx_x_fwhm': 381.1176227029394, 'zyx_pc1_fwhm': 912.9947920301789, 'zyx_pc2_fwhm': 373.93008929702125, 'zyx_pc3_fwhm': 352.1136197830051, 'z_bg_sde': 396.3803255964697, 'z_amp_sde': 1551.2069648790518, 'z_mu_sde': 7.927959381475837, 'z_sigma_sde': 8.319830108054067, 'yx_bg_sde': 5193976206.801739, 'yx_amp_sde': 5193976200.3584175, 'y_mu_sde': 15.7037016252851, 'x_mu_sde': 15.384185785968638, 'yx_cyy_sde': 486216079365.0854, 'yx_cyx_sde': 3123527978.7420464, 'yx_cxx_sde': 478436674191.13776, 'zyx_bg_sde': 3.2136962453128985, 'zyx_amp_sde': 106.54165573237475, 'zyx_z_mu_sde': 0.9225547470543801, 'zyx_y_mu_sde': 0.38211305089794656, 'zyx_x_mu_sde': 0.39002249557107915, 'zyx_czz_sde': 709.5906741931396, 'zyx_czy_sde': 214.25121873365615, 'zyx_czx_sde': 216.8101486128529, 'zyx_cyy_sde': 121.73272962089094, 'zyx_cyx_sde': 87.49086088093283, 'zyx_cxx_sde': 126.82443097663813} res["z_mu"] = 3097.356118968857 res["y_mu"] = 943.7655673388606 res["x_mu"] = 963.4849150753824 (res["z_mu"], res["y_mu"], res["x_mu"]) = (3097.356118968857, 943.7655673388606, 963.4849150753824) (res["z_fwhm"], res["y_fwhm"], res["x_fwhm"]) = (619.0554652773359, nan, nan) res["z_fwhm"] = 619.0554652773359 res["y_fwhm"] = nan res["x_fwhm"] = nan np = <module 'numpy' from 'C:\\Users\\planlaur\\Anaconda3\\envs\\PSF-analysis\\lib\\site-packages\\numpy\\__init__.py'> [ [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]], [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]], [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]], ] = [[26194.04767278325, -652.4092493049167, 14293.659591418274], [-652.4092493049167, 25141.52674313579, -16197.333051058567], [14293.659591418274, -16197.333051058567, 146560.20334410015]] [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]] = [26194.04767278325, -652.4092493049167, 14293.659591418274] res["zyx_cxx"] = 26194.04767278325 res["zyx_cyx"] = -652.4092493049167 res["zyx_czx"] = 14293.659591418274 [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]] = [-652.4092493049167, 25141.52674313579, -16197.333051058567] res["zyx_cyy"] = 25141.52674313579 res["zyx_czy"] = -16197.333051058567 [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]] = [14293.659591418274, -16197.333051058567, 146560.20334410015] res["zyx_czz"] = 146560.20334410015 date = '2023-09-11' version = '1.0.1' 449 bead_img=bead, 450 spacing=spacing, 451 location=(res["z_mu"], res["y_mu"], res["x_mu"]), 452 fwhm_values=(res["z_fwhm"], res["y_fwhm"], res["x_fwhm"]), 453 cov_matrix_3d=np.array( 454 [ 455 [res["zyx_cxx"], res["zyx_cyx"], res["zyx_czx"]], 456 [res["zyx_cyx"], res["zyx_cyy"], res["zyx_czy"]], 457 [res["zyx_czx"], res["zyx_czy"], res["zyx_czz"]], 458 ] 459 ), 460 date=date, 461 version=version, 462 ) 463 yx_cov_matrix = np.array( 464 [[res["yx_cyy"], res["yx_cyx"]], [res["yx_cyx"], res["yx_cxx"]]] 465 ) 466 yx_pc = np.sort(np.sqrt(np.linalg.eigvals(yx_cov_matrix)))[::-1] File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\psf_analysis\psf_analysis.py:551, in build_summary_figure(bead_img=<class 'numpy.ndarray'> (30, 55, 55) uint16, spacing=(200.0, 36.0, 36.0), location=(3097.356118968857, 943.7655673388606, 963.4849150753824), fwhm_values=(619.0554652773359, nan, nan), cov_matrix_3d=<class 'numpy.ndarray'> (3, 3) float64, date='2023-09-11', version='1.0.1') 541 ax_xy.set_yticks([]) 542 ax_xy.imshow( 543 yx_sqrt_projection, 544 cmap=cmap, (...) 548 origin="lower", 549 ) --> 551 _draw_fwhm( ax_xy = <Axes: > yx_sqrt_projection = <class 'numpy.ndarray'> (1440, 1440) float32 fwhm_values = (619.0554652773359, nan, nan) fwhm_values[1:] = (nan, nan) 552 ax_xy, 553 spacing=4000 / yx_sqrt_projection.shape[1], 554 fwhm=fwhm_values[1:], 555 shape=yx_sqrt_projection.shape, 556 ) 558 ax_zx.set_xticks([]) 559 ax_zx.set_yticks([]) File ~\Anaconda3\envs\PSF-analysis\lib\site-packages\napari_psf_analysis\psf_analysis\psf_analysis.py:422, in _draw_fwhm(axes=<Axes: >, shape=(1440, 1440), spacing=2.7777777777777777, fwhm=(nan, nan), down=False) 417 axes.plot([cx - dx, cx - dx], [cy - dy, shape[1] / 4], "--", c="white") 418 axes.plot([cx + dx, cx + dx], [cy - dy, shape[1] / 4], "--", c="white") 419 axes.text( 420 cx, 421 shape[1] / 4.5, --> 422 f"{int(np.round(x_fwhm))}nm", axes = <Axes: > cx = 720.0 shape[1] = 1440 shape[1] / 4.5 = 320.0 shape = (1440, 1440) x_fwhm = nan np.round = <function round at 0x0000021DC962E830> np = <module 'numpy' from 'C:\\Users\\planlaur\\Anaconda3\\envs\\PSF-analysis\\lib\\site-packages\\numpy\\__init__.py'> 423 ha="center", 424 va="top", 425 fontsize=15, 426 bbox=dict(facecolor="white", alpha=0.8, linewidth=0), 427 ) 429 axes.plot( 430 [ 431 shape[0] / 4, (...) 437 solid_capstyle="butt", 438 ) 439 axes.plot( 440 [ 441 shape[0] / 4, (...) 447 solid_capstyle="butt", 448 ) ValueError: cannot convert float NaN to integer
Lplantard
commented
1 year ago Lplantard
commented
1 year ago