hamsta.io.read_global_ancestry#
- hamsta.io.read_global_ancestry(fname, sample_colname, **pd_kwargs)#
Global ancestry reader
The sample column will be stored in strings.All other keyword arguments will be passed to pandas.read_csv- Parameters
Example
>>> from hamsta.io import read_global_ancestry >>> Q_df = read_global_ancestry("tests/testdata/example.rfmix.Q", ... sample_colname="#sample", skiprows=1) >>> Q_df.head() sample HCB JPT 0 HCB182 1.0 0.0 1 HCB190 1.0 0.0 2 HCB191 1.0 0.0 3 HCB193 1.0 0.0 4 HCB194 0.5 0.5 >>> Q_df.dtypes sample object HCB float64 JPT float64 dtype: object
- Return type