def compare_files(file_a, file_b, comparison_method, undef_value, **kwargs):
(header_a, data_a) = Utils.load_data_with_headers(file_a)
(header_b, data_b) = Utils.load_data_with_headers(file_b)
header = ['# ID_A', 'ID_B', 'Value']
yield header
for row_a in data_a:
for row_b in data_b:
yield (row_a[0], row_b[0],
compare_values(row_a[1], row_b[1], comparison_method,
undef_value))
#!/usr/bin/env python
import argparse
import logging
from phantasm import Utils, Transforms
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Rescale data")
parser.add_argument("tabular_data",
type=argparse.FileType("r"),
help="Tabular Dataset")
parser.add_argument("--min", type=float, help="New Minimum", default=0.0)
parser.add_argument("--max", type=float, help="New Maximum", default=1.0)
parser.add_argument("--version", action="version", version="0.1")
args = parser.parse_args()
data = Utils.load_data(args.tabular_data)
(id_col, data_col) = (data["id"], data["data"])
(squash, offset) = Transforms.calculate_reshape(data_col, args.min,
args.max)
data_col = Transforms.apply_reshape(data_col, squash, offset)
print "# ID\tData"
for (id_val, data_val) in zip(id_col, data_col):
print "%s\t%s" % (id_val, data_val)