def merge_metrics(hmmcopy_metrics, alignment_metrics, merged_output):
csvutils.merge_csv(
[hmmcopy_metrics, alignment_metrics],
merged_output,
'outer',
['cell_id'],
write_header=False,
)
def test_merge_csv(self, tmpdir, n_rows):
"""
test merge_csv
"""
dtypes1 = {v: "int" for v in 'ABCD'}
dtypes2 = {v: "int" for v in 'AEFGH'}
how = "outer"
on = ["A"]
suffs = ["", ""]
merged = os.path.join(tmpdir, "merged.csv.gz")
dfs, csvs, ref = self.base_merge_test(n_rows, how, on, suffs,
[dtypes1, dtypes2],
write=True, dir=tmpdir)
csvutils.merge_csv(csvs, merged, how=how, on=on)
assert os.path.exists(merged)
assert self.dfs_exact_match(ref, merged)
def merge_het_positions(input_csvs, output):
csvutils.merge_csv(
input_csvs, output, how="outer", on=[
"chromosome", "position"], sep="\t")
def merge_all_metrics(infiles, outfile):
csvutils.merge_csv(infiles, outfile, "outer", "cell_id")