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Augment/convert h5ad for zellkonverter pr 86
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import numpy as np | |
import pandas as pd | |
import anndata as ad | |
adata = ad.read_h5ad("/home/jack/src/zellkonverter/inst/extdata/krumsiek11.h5ad") | |
# add float column to colData/obs | |
adata.obs['dummy_num'] = 42.42 | |
# float column with NA | |
adata.obs['dummy_num2'] = adata.obs['dummy_num'] | |
adata.obs['dummy_num2'][0] = float('nan') | |
# int column | |
adata.obs['dummy_int'] = np.arange(adata.shape[0]) | |
# int column with NA | |
adata.obs['dummy_int2'] = pd.array([None] + [42] * (adata.shape[0] - 1)) | |
# bool column | |
adata.obs['dummy_bool'] = True | |
adata.obs['dummy_bool'][0] = False | |
# bool column with NA | |
adata.obs['dummy_bool2'] = pd.array([False, None] + [True] * (adata.shape[0] - 2)) | |
# also add some entries to the metadata/uns | |
adata.uns['dummy_category'] = pd.array(['a', 'b', None], dtype='category') | |
adata.uns['dummy_bool'] = [True, True, False] | |
adata.uns['dummy_bool2'] = pd.array([True, False, None]) | |
adata.uns['dummy_int'] = [1,2,3] | |
adata.uns['dummy_int2'] = pd.array([1,2,None]) | |
adata.write("/home/jack/src/zellkonverter/inst/extdata/krumsiek11_augmented_v0-8.h5ad") |
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