Documentation request: Iterating a DataFrame

I’d be happy to add this once I could figure it out. I’ve been able to load my tabular text files, store them as h5ad, then load them back again. I cannot see how to iterate over rows, then columns so that I can access all values of the dataframe with an awareness of which row/column each belongs to.

My wishful code example:

adata = sc.read_h5ad(filename)
selected = adata[:, adata.var_names.isin({'AAR2', 'ECT2'})]

## this line spews information on the columns like:
#  Empty DataFrameView
#  Columns: []
# Index: [Cancer--Cell_1, Cancer--Cell_10, Cancer--Cell_100, Cancer--Cell_1000, Cancer--Cell_1001
#print(selected.obs)

## this line gives the row information:
# Empty DataFrameView
# Columns: []
#Index: [AAR2, ECT2]
#print(selected.var)
    
# Nothing happens here at all
#for i, row in selected.obs.iteritems():
#    print(i, row)

for gene_name, row in selected.var.iterrows():
    # this prints like: Series([], Name: AAR2, dtype: float64)
    print(row)

    # Nothing happens here
    for cell_name, val in row.iteritems():
        print("{0}\t{1}\t{2}".format(gene_name, cell_name, val))

[flying-sheep]

now you missed the sweet stackoverflow reputation, alex 😈

[falexwolf]

Thank you! 😄