comparison generateMFI.py @ 1:91e856e5ec7a draft default tip

"planemo upload for repository https://github.com/ImmPortDB/immport-galaxy-tools/tree/master/flowtools/generate_mfi commit a1f464ea7fe4a5d1b71664ef924544010036522a"
author azomics
date Wed, 22 Jul 2020 15:41:56 -0400
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0:2f6dcda6e74e 1:91e856e5ec7a
1 #!/usr/bin/env python
2 ######################################################################
3 # Copyright (c) 2016 Northrop Grumman.
4 # All rights reserved.
5 ######################################################################
6 import sys
7 from argparse import ArgumentParser
8 import pandas as pd
9 from scipy.stats import gmean
10
11
12 def generate_MFI(input_file_name, output_file_name, mfi_calc):
13 flock_df = pd.read_table(input_file_name)
14 if mfi_calc == "mfi":
15 MFIs = flock_df.groupby('Population').mean().round(decimals=2)
16 elif mfi_calc == "gmfi":
17 MFIs = flock_df.groupby('Population').agg(lambda x: gmean(list(x))).round(decimals=2)
18 else:
19 MFIs = flock_df.groupby('Population').median().round(decimals=2)
20
21 with open(output_file_name, "w") as outf:
22 MFIs.to_csv(outf, sep="\t", float_format='%.0f')
23 return
24
25
26 if __name__ == "__main__":
27 parser = ArgumentParser(
28 prog="removeColumns",
29 description="Generate MFI from Flow Result file.")
30
31 parser.add_argument(
32 '-i',
33 dest="input_file",
34 required=True,
35 help="File location for the Flow Result file.")
36
37 parser.add_argument(
38 '-M',
39 dest="mfi_calc",
40 required=True,
41 help="what to calculate for centroids.")
42
43 parser.add_argument(
44 '-o',
45 dest="output_file",
46 required=True,
47 help="File location for the MFI output file.")
48
49 args = parser.parse_args()
50 generate_MFI(args.input_file, args.output_file, args.mfi_calc)