We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I am working with a spatialdata object with 49 visium samples:
SpatialData object, with associated Zarr store: /cfs/<redacted>/02_nfcore_spatialvi/output/aggregation/data/merged_sdata.zarr ├── Images │ ├── 'study1_sample1_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample1_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample2_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample2_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample3_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample3_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample4_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample4_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample5_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample5_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample6_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample6_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample7_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample7_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample8_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample8_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample9_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample9_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample10_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample10_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample11_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample11_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample12_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample12_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample13_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample13_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample14_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample14_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample15_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample15_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study1_sample16_hires_image': DataArray[cyx] (3, 2000, 2000) │ ├── 'study1_sample16_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study2_sampleBI33_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study2_sampleBI33_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study2_sampleBI39_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study2_sampleBI39_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study2_sampleBI64_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study2_sampleBI64_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study2_sampleBI66_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study2_sampleBI66_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB1_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB1_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB2_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB2_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB3_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB3_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB4_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB4_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB5_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB5_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB6_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB6_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB7_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB7_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB8_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB8_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB9_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB9_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB10_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB10_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB11_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB11_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB12_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB12_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB13_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB13_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB14_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB14_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB15_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB15_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study3_sampleB16_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study3_sampleB16_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB1_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB1_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB2_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB2_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB5_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB5_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB6_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB6_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB7_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB7_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB9_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB9_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB10_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB10_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB11_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB11_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB12_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB12_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB13_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB13_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB14_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB14_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB15_hires_image': DataArray[cyx] (3, 3000, 3000) │ ├── 'study4_sampleB15_lowres_image': DataArray[cyx] (3, 600, 600) │ ├── 'study4_sampleB16_hires_image': DataArray[cyx] (3, 3000, 3000) │ └── 'study4_sampleB16_lowres_image': DataArray[cyx] (3, 600, 600) ├── Shapes │ ├── 'study1_sample1': GeoDataFrame shape: (245, 2) (2D shapes) │ ├── 'study1_sample2': GeoDataFrame shape: (522, 2) (2D shapes) │ ├── 'study1_sample3': GeoDataFrame shape: (320, 2) (2D shapes) │ ├── 'study1_sample4': GeoDataFrame shape: (472, 2) (2D shapes) │ ├── 'study1_sample5': GeoDataFrame shape: (823, 2) (2D shapes) │ ├── 'study1_sample6': GeoDataFrame shape: (206, 2) (2D shapes) │ ├── 'study1_sample7': GeoDataFrame shape: (192, 2) (2D shapes) │ ├── 'study1_sample8': GeoDataFrame shape: (397, 2) (2D shapes) │ ├── 'study1_sample9': GeoDataFrame shape: (122, 2) (2D shapes) │ ├── 'study1_sample10': GeoDataFrame shape: (722, 2) (2D shapes) │ ├── 'study1_sample11': GeoDataFrame shape: (271, 2) (2D shapes) │ ├── 'study1_sample12': GeoDataFrame shape: (332, 2) (2D shapes) │ ├── 'study1_sample13': GeoDataFrame shape: (472, 2) (2D shapes) │ ├── 'study1_sample14': GeoDataFrame shape: (1272, 2) (2D shapes) │ ├── 'study1_sample15': GeoDataFrame shape: (222, 2) (2D shapes) │ ├── 'study1_sample16': GeoDataFrame shape: (274, 2) (2D shapes) │ ├── 'study2_sampleBI33': GeoDataFrame shape: (6485, 2) (2D shapes) │ ├── 'study2_sampleBI39': GeoDataFrame shape: (10255, 2) (2D shapes) │ ├── 'study2_sampleBI64': GeoDataFrame shape: (9504, 2) (2D shapes) │ ├── 'study2_sampleBI66': GeoDataFrame shape: (5764, 2) (2D shapes) │ ├── 'study3_sampleB1': GeoDataFrame shape: (3202, 2) (2D shapes) │ ├── 'study3_sampleB2': GeoDataFrame shape: (6127, 2) (2D shapes) │ ├── 'study3_sampleB3': GeoDataFrame shape: (2859, 2) (2D shapes) │ ├── 'study3_sampleB4': GeoDataFrame shape: (7092, 2) (2D shapes) │ ├── 'study3_sampleB5': GeoDataFrame shape: (8514, 2) (2D shapes) │ ├── 'study3_sampleB6': GeoDataFrame shape: (6704, 2) (2D shapes) │ ├── 'study3_sampleB7': GeoDataFrame shape: (8184, 2) (2D shapes) │ ├── 'study3_sampleB8': GeoDataFrame shape: (7764, 2) (2D shapes) │ ├── 'study3_sampleB9': GeoDataFrame shape: (5941, 2) (2D shapes) │ ├── 'study3_sampleB10': GeoDataFrame shape: (6814, 2) (2D shapes) │ ├── 'study3_sampleB11': GeoDataFrame shape: (4438, 2) (2D shapes) │ ├── 'study3_sampleB12': GeoDataFrame shape: (4798, 2) (2D shapes) │ ├── 'study3_sampleB13': GeoDataFrame shape: (8419, 2) (2D shapes) │ ├── 'study3_sampleB14': GeoDataFrame shape: (7236, 2) (2D shapes) │ ├── 'study3_sampleB15': GeoDataFrame shape: (9298, 2) (2D shapes) │ ├── 'study3_sampleB16': GeoDataFrame shape: (4689, 2) (2D shapes) │ ├── 'study4_sampleB1': GeoDataFrame shape: (5475, 2) (2D shapes) │ ├── 'study4_sampleB2': GeoDataFrame shape: (5765, 2) (2D shapes) │ ├── 'study4_sampleB5': GeoDataFrame shape: (3165, 2) (2D shapes) │ ├── 'study4_sampleB6': GeoDataFrame shape: (2332, 2) (2D shapes) │ ├── 'study4_sampleB7': GeoDataFrame shape: (3461, 2) (2D shapes) │ ├── 'study4_sampleB9': GeoDataFrame shape: (5700, 2) (2D shapes) │ ├── 'study4_sampleB10': GeoDataFrame shape: (6566, 2) (2D shapes) │ ├── 'study4_sampleB11': GeoDataFrame shape: (3704, 2) (2D shapes) │ ├── 'study4_sampleB12': GeoDataFrame shape: (4223, 2) (2D shapes) │ ├── 'study4_sampleB13': GeoDataFrame shape: (2828, 2) (2D shapes) │ ├── 'study4_sampleB14': GeoDataFrame shape: (2050, 2) (2D shapes) │ ├── 'study4_sampleB15': GeoDataFrame shape: (6022, 2) (2D shapes) │ └── 'study4_sampleB16': GeoDataFrame shape: (4254, 2) (2D shapes) └── Tables └── 'all': AnnData (196496, 11693) with coordinate systems: ▸ 'downscaled_hires', with elements: study1_sample1_hires_image (Images), study1_sample2_hires_image (Images), study1_sample3_hires_image (Images), study1_sample4_hires_image (Images), study1_sample5_hires_image (Images), study1_sample6_hires_image (Images), study1_sample7_hires_image (Images), study1_sample8_hires_image (Images), study1_sample9_hires_image (Images), study1_sample10_hires_image (Images), study1_sample11_hires_image (Images), study1_sample12_hires_image (Images), study1_sample13_hires_image (Images), study1_sample14_hires_image (Images), study1_sample15_hires_image (Images), study1_sample16_hires_image (Images), study2_sampleBI33_hires_image (Images), study2_sampleBI39_hires_image (Images), study2_sampleBI64_hires_image (Images), study2_sampleBI66_hires_image (Images), study3_sampleB1_hires_image (Images), study3_sampleB2_hires_image (Images), study3_sampleB3_hires_image (Images), study3_sampleB4_hires_image (Images), study3_sampleB5_hires_image (Images), study3_sampleB6_hires_image (Images), study3_sampleB7_hires_image (Images), study3_sampleB8_hires_image (Images), study3_sampleB9_hires_image (Images), study3_sampleB10_hires_image (Images), study3_sampleB11_hires_image (Images), study3_sampleB12_hires_image (Images), study3_sampleB13_hires_image (Images), study3_sampleB14_hires_image (Images), study3_sampleB15_hires_image (Images), study3_sampleB16_hires_image (Images), study4_sampleB1_hires_image (Images), study4_sampleB2_hires_image (Images), study4_sampleB5_hires_image (Images), study4_sampleB6_hires_image (Images), study4_sampleB7_hires_image (Images), study4_sampleB9_hires_image (Images), study4_sampleB10_hires_image (Images), study4_sampleB11_hires_image (Images), study4_sampleB12_hires_image (Images), study4_sampleB13_hires_image (Images), study4_sampleB14_hires_image (Images), study4_sampleB15_hires_image (Images), study4_sampleB16_hires_image (Images), study1_sample1 (Shapes), study1_sample2 (Shapes), study1_sample3 (Shapes), study1_sample4 (Shapes), study1_sample5 (Shapes), study1_sample6 (Shapes), study1_sample7 (Shapes), study1_sample8 (Shapes), study1_sample9 (Shapes), study1_sample10 (Shapes), study1_sample11 (Shapes), study1_sample12 (Shapes), study1_sample13 (Shapes), study1_sample14 (Shapes), study1_sample15 (Shapes), study1_sample16 (Shapes), study2_sampleBI33 (Shapes), study2_sampleBI39 (Shapes), study2_sampleBI64 (Shapes), study2_sampleBI66 (Shapes), study3_sampleB1 (Shapes), study3_sampleB2 (Shapes), study3_sampleB3 (Shapes), study3_sampleB4 (Shapes), study3_sampleB5 (Shapes), study3_sampleB6 (Shapes), study3_sampleB7 (Shapes), study3_sampleB8 (Shapes), study3_sampleB9 (Shapes), study3_sampleB10 (Shapes), study3_sampleB11 (Shapes), study3_sampleB12 (Shapes), study3_sampleB13 (Shapes), study3_sampleB14 (Shapes), study3_sampleB15 (Shapes), study3_sampleB16 (Shapes), study4_sampleB1 (Shapes), study4_sampleB2 (Shapes), study4_sampleB5 (Shapes), study4_sampleB6 (Shapes), study4_sampleB7 (Shapes), study4_sampleB9 (Shapes), study4_sampleB10 (Shapes), study4_sampleB11 (Shapes), study4_sampleB12 (Shapes), study4_sampleB13 (Shapes), study4_sampleB14 (Shapes), study4_sampleB15 (Shapes), study4_sampleB16 (Shapes) ▸ 'downscaled_lowres', with elements: study1_sample1_lowres_image (Images), study1_sample2_lowres_image (Images), study1_sample3_lowres_image (Images), study1_sample4_lowres_image (Images), study1_sample5_lowres_image (Images), study1_sample6_lowres_image (Images), study1_sample7_lowres_image (Images), study1_sample8_lowres_image (Images), study1_sample9_lowres_image (Images), study1_sample10_lowres_image (Images), study1_sample11_lowres_image (Images), study1_sample12_lowres_image (Images), study1_sample13_lowres_image (Images), study1_sample14_lowres_image (Images), study1_sample15_lowres_image (Images), study1_sample16_lowres_image (Images), study2_sampleBI33_lowres_image (Images), study2_sampleBI39_lowres_image (Images), study2_sampleBI64_lowres_image (Images), study2_sampleBI66_lowres_image (Images), study3_sampleB1_lowres_image (Images), study3_sampleB2_lowres_image (Images), study3_sampleB3_lowres_image (Images), study3_sampleB4_lowres_image (Images), study3_sampleB5_lowres_image (Images), study3_sampleB6_lowres_image (Images), study3_sampleB7_lowres_image (Images), study3_sampleB8_lowres_image (Images), study3_sampleB9_lowres_image (Images), study3_sampleB10_lowres_image (Images), study3_sampleB11_lowres_image (Images), study3_sampleB12_lowres_image (Images), study3_sampleB13_lowres_image (Images), study3_sampleB14_lowres_image (Images), study3_sampleB15_lowres_image (Images), study3_sampleB16_lowres_image (Images), study4_sampleB1_lowres_image (Images), study4_sampleB2_lowres_image (Images), study4_sampleB5_lowres_image (Images), study4_sampleB6_lowres_image (Images), study4_sampleB7_lowres_image (Images), study4_sampleB9_lowres_image (Images), study4_sampleB10_lowres_image (Images), study4_sampleB11_lowres_image (Images), study4_sampleB12_lowres_image (Images), study4_sampleB13_lowres_image (Images), study4_sampleB14_lowres_image (Images), study4_sampleB15_lowres_image (Images), study4_sampleB16_lowres_image (Images), study1_sample1 (Shapes), study1_sample2 (Shapes), study1_sample3 (Shapes), study1_sample4 (Shapes), study1_sample5 (Shapes), study1_sample6 (Shapes), study1_sample7 (Shapes), study1_sample8 (Shapes), study1_sample9 (Shapes), study1_sample10 (Shapes), study1_sample11 (Shapes), study1_sample12 (Shapes), study1_sample13 (Shapes), study1_sample14 (Shapes), study1_sample15 (Shapes), study1_sample16 (Shapes), study2_sampleBI33 (Shapes), study2_sampleBI39 (Shapes), study2_sampleBI64 (Shapes), study2_sampleBI66 (Shapes), study3_sampleB1 (Shapes), study3_sampleB2 (Shapes), study3_sampleB3 (Shapes), study3_sampleB4 (Shapes), study3_sampleB5 (Shapes), study3_sampleB6 (Shapes), study3_sampleB7 (Shapes), study3_sampleB8 (Shapes), study3_sampleB9 (Shapes), study3_sampleB10 (Shapes), study3_sampleB11 (Shapes), study3_sampleB12 (Shapes), study3_sampleB13 (Shapes), study3_sampleB14 (Shapes), study3_sampleB15 (Shapes), study3_sampleB16 (Shapes), study4_sampleB1 (Shapes), study4_sampleB2 (Shapes), study4_sampleB5 (Shapes), study4_sampleB6 (Shapes), study4_sampleB7 (Shapes), study4_sampleB9 (Shapes), study4_sampleB10 (Shapes), study4_sampleB11 (Shapes), study4_sampleB12 (Shapes), study4_sampleB13 (Shapes), study4_sampleB14 (Shapes), study4_sampleB15 (Shapes), study4_sampleB16 (Shapes) ▸ 'global', with elements: study1_sample1 (Shapes), study1_sample2 (Shapes), study1_sample3 (Shapes), study1_sample4 (Shapes), study1_sample5 (Shapes), study1_sample6 (Shapes), study1_sample7 (Shapes), study1_sample8 (Shapes), study1_sample9 (Shapes), study1_sample10 (Shapes), study1_sample11 (Shapes), study1_sample12 (Shapes), study1_sample13 (Shapes), study1_sample14 (Shapes), study1_sample15 (Shapes), study1_sample16 (Shapes), study2_sampleBI33 (Shapes), study2_sampleBI39 (Shapes), study2_sampleBI64 (Shapes), study2_sampleBI66 (Shapes), study3_sampleB1 (Shapes), study3_sampleB2 (Shapes), study3_sampleB3 (Shapes), study3_sampleB4 (Shapes), study3_sampleB5 (Shapes), study3_sampleB6 (Shapes), study3_sampleB7 (Shapes), study3_sampleB8 (Shapes), study3_sampleB9 (Shapes), study3_sampleB10 (Shapes), study3_sampleB11 (Shapes), study3_sampleB12 (Shapes), study3_sampleB13 (Shapes), study3_sampleB14 (Shapes), study3_sampleB15 (Shapes), study3_sampleB16 (Shapes), study4_sampleB1 (Shapes), study4_sampleB2 (Shapes), study4_sampleB5 (Shapes), study4_sampleB6 (Shapes), study4_sampleB7 (Shapes), study4_sampleB9 (Shapes), study4_sampleB10 (Shapes), study4_sampleB11 (Shapes), study4_sampleB12 (Shapes), study4_sampleB13 (Shapes), study4_sampleB14 (Shapes), study4_sampleB15 (Shapes), study4_sampleB16 (Shapes) with the following elements not in the Zarr store: ▸ all (Tables) with the following elements in the Zarr store but not in the SpatialData object: ▸ study1_sample5_table (Tables) ▸ study1_sample6_table (Tables) ▸ study3_sampleB14_table (Tables) ▸ study1_sample1_table (Tables) ▸ study1_sample7_table (Tables) ▸ study1_sample2_table (Tables) ▸ study4_sampleB2_table (Tables) ▸ study1_sample4_table (Tables) ▸ study3_sampleB11_table (Tables) ▸ study3_sampleB15_table (Tables) ▸ study1_sample9_table (Tables) ▸ study3_sampleB6_table (Tables) ▸ study4_sampleB13_table (Tables) ▸ study4_sampleB12_table (Tables) ▸ study3_sampleB2_table (Tables) ▸ study1_sample10_table (Tables) ▸ study3_sampleB8_table (Tables) ▸ study1_sample13_table (Tables) ▸ study4_sampleB1_table (Tables) ▸ study4_sampleB11_table (Tables) ▸ study4_sampleB5_table (Tables) ▸ study1_sample8_table (Tables) ▸ study3_sampleB16_table (Tables) ▸ study4_sampleB16_table (Tables) ▸ study4_sampleB14_table (Tables) ▸ study3_sampleB1_table (Tables) ▸ study4_sampleB15_table (Tables) ▸ study2_sampleBI39_table (Tables) ▸ study1_sample14_table (Tables) ▸ study4_sampleB10_table (Tables) ▸ study2_sampleBI64_table (Tables) ▸ study1_sample15_table (Tables) ▸ study3_sampleB12_table (Tables) ▸ study3_sampleB4_table (Tables) ▸ study1_sample11_table (Tables) ▸ study1_sample3_table (Tables) ▸ study3_sampleB13_table (Tables) ▸ study3_sampleB7_table (Tables) ▸ study3_sampleB5_table (Tables) ▸ study4_sampleB6_table (Tables) ▸ study2_sampleBI33_table (Tables) ▸ study1_sample12_table (Tables) ▸ study3_sampleB9_table (Tables) ▸ study3_sampleB3_table (Tables) ▸ study4_sampleB7_table (Tables) ▸ study3_sampleB10_table (Tables) ▸ study2_sampleBI66_table (Tables) ▸ study1_sample16_table (Tables) ▸ study4_sampleB9_table (Tables)
I noticed that when running a bounding box query in a loop over all samples, it gets slower and slower and consumes a lot of memory.
from datetime import datetime import numpy as np import spatialdata as sd import psutil for _ in range(300): tic = datetime.now() bb = np.array(list(sd.get_extent(sdata, elements=["study2_sampleBI33"], coordinate_system="downscaled_hires").values())) sdata_bb = sd.bounding_box_query(sdata, ("x", "y"), bb[:, 0], bb[:, 1], "downscaled_hires") toc = datetime.now() print(f"time elapsed: {(toc - tic).total_seconds()} s; memory used: {psutil.Process().memory_info().rss / 1e9} GB")
time elapsed: 9.881882 s; memory used: 46.823497728 GB time elapsed: 9.644644 s; memory used: 60.7720448 GB time elapsed: 10.161626 s; memory used: 74.720657408 GB time elapsed: 31.029099 s; memory used: 88.669437952 GB time elapsed: 52.600431 s; memory used: 102.618013696 GB time elapsed: 177.883717 s; memory used: 116.706766848 GB time elapsed: 146.74199 s; memory used: 131.057217536 GB time elapsed: 160.282223 s; memory used: 145.419689984 GB time elapsed: 99.229229 s; memory used: 159.781974016 GB time elapsed: 54.737399 s; memory used: 174.199156736 GB time elapsed: 39.372628 s; memory used: 188.563365888 GB time elapsed: 83.340401 s; memory used: 202.927603712 GB time elapsed: 80.725091 s; memory used: 217.291235328 GB time elapsed: 54.610381 s; memory used: 231.655145472 GB time elapsed: 65.644117 s; memory used: 246.018277376 GB time elapsed: 59.632265 s; memory used: 260.435939328 GB time elapsed: 92.770736 s; memory used: 274.79996416 GB time elapsed: 68.518154 s; memory used: 289.163894784 GB time elapsed: 89.953097 s; memory used: 303.529623552 GB time elapsed: 72.767521 s; memory used: 317.894258688 GB time elapsed: 60.128739 s; memory used: 332.256210944 GB time elapsed: 97.550062 s; memory used: 346.6724352 GB time elapsed: 16.891613 s; memory used: 53.195804672 GB time elapsed: 10.562216 s; memory used: 67.1446016 GB time elapsed: 10.575739 s; memory used: 81.093279744 GB time elapsed: 10.60881 s; memory used: 95.042097152 GB time elapsed: 10.071131 s; memory used: 108.990795776 GB time elapsed: 10.788739 s; memory used: 122.939232256 GB time elapsed: 10.600906 s; memory used: 136.887844864 GB time elapsed: 10.857134 s; memory used: 150.836383744 GB time elapsed: 11.364936 s; memory used: 164.785098752 GB time elapsed: 11.049787 s; memory used: 178.733674496 GB time elapsed: 11.108218 s; memory used: 192.682438656 GB time elapsed: 31.675223 s; memory used: 206.630981632 GB time elapsed: 28.117611 s; memory used: 220.579495936 GB time elapsed: 19.649157 s; memory used: 234.528223232 GB time elapsed: 13.645791 s; memory used: 248.476798976 GB time elapsed: 10.456291 s; memory used: 262.42537472 GB
It seems eventually garbage collection kicks in, but it does get a lot slower before that.
When forcing a gc.collect() after each iteration, the problem is gone - but that's not something I would typically do.
gc.collect()
time elapsed: 11.078948 s; memory used: 48.512786432 GB time elapsed: 10.736634 s; memory used: 48.512892928 GB time elapsed: 11.165556 s; memory used: 48.512897024 GB time elapsed: 10.7712 s; memory used: 48.512897024 GB time elapsed: 10.836686 s; memory used: 48.512897024 GB time elapsed: 10.36456 s; memory used: 48.512897024 GB time elapsed: 10.898954 s; memory used: 48.512897024 GB time elapsed: 10.771655 s; memory used: 48.512909312 GB time elapsed: 10.383164 s; memory used: 48.512909312 GB time elapsed: 10.23622 s; memory used: 48.512909312 GB time elapsed: 10.185976 s; memory used: 48.512909312 GB time elapsed: 9.935837 s; memory used: 48.512909312 GB time elapsed: 10.32161 s; memory used: 48.512909312 GB time elapsed: 10.238209 s; memory used: 48.512909312 GB time elapsed: 10.780759 s; memory used: 48.512909312 GB time elapsed: 10.409318 s; memory used: 48.512909312 GB time elapsed: 10.442059 s; memory used: 48.513101824 GB time elapsed: 10.311367 s; memory used: 48.513101824 GB time elapsed: 10.396318 s; memory used: 48.513101824 GB time elapsed: 10.189232 s; memory used: 48.513101824 GB time elapsed: 9.997263 s; memory used: 48.513101824 GB time elapsed: 9.915348 s; memory used: 48.513101824 GB time elapsed: 10.007159 s; memory used: 48.51310592 GB time elapsed: 10.333178 s; memory used: 48.51308544 GB time elapsed: 10.172472 s; memory used: 48.51308544 GB time elapsed: 9.798267 s; memory used: 48.51308544 GB time elapsed: 9.770812 s; memory used: 48.51308544 GB time elapsed: 10.800851 s; memory used: 48.51308544 GB time elapsed: 10.98336 s; memory used: 48.51308544 GB
Environment:
uv.lock.txt
The text was updated successfully, but these errors were encountered:
No branches or pull requests
I am working with a spatialdata object with 49 visium samples:
sdata
I noticed that when running a bounding box query in a loop over all samples, it gets slower and slower and consumes a lot of memory.
It seems eventually garbage collection kicks in, but it does get a lot slower before that.
When forcing a
gc.collect()
after each iteration, the problem is gone - but that's not something I would typically do.Environment:
uv.lock.txt
The text was updated successfully, but these errors were encountered: