My napari can open my raw/tomotwin input tomogram (024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec.mrc) well as
However, when I opened my umap (2024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec_a10_embeddings.tumap) with my napari, I saw
It turns out that some of my x,y,z values are too big to be represented by float16 as
Indeed, when I resaved them as float32 by
df_embeddings[['X', 'Y', 'Z']] = df_embeddings[['X', 'Y', 'Z']].astype('float32')
now it didn't give me NaN
However, still my napari can't load even this new float32 retyped umap (2024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec_a10_embeddings_float32.tumap) as
My napari can open my raw/tomotwin input tomogram (024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec.mrc) well as
However, when I opened my umap (2024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec_a10_embeddings.tumap) with my napari, I saw
It turns out that some of my x,y,z values are too big to be represented by float16 as
Indeed, when I resaved them as float32 by
df_embeddings[['X', 'Y', 'Z']] = df_embeddings[['X', 'Y', 'Z']].astype('float32')
now it didn't give me NaNHowever, still my napari can't load even this new float32 retyped umap (2024_06_06_10p4_Apix_MED4_TS_14_SIRT_CTF_no_Au_rec_a10_embeddings_float32.tumap) as