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IMP Reference Guide
develop.63b38c487d,2024/12/22
The Integrative Modeling Platform
IMP Manual
Reference Guide
Tutorial Index
Modules
Classes
Examples
lib
IMP
nestor
version 20241222.develop.63b38c487d
xl_datasplitter.py
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#!/usr/bin/env python
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"""@namespace IMP.nestor.xl_datasplitter
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Script to split a CSV file for use in nested sampling"""
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5
import
sys
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import
random
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xl_file = sys.argv[1]
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perc_to_evi = 0.7
10
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xls = []
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header =
None
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with open(xl_file,
"
r") as xlf:
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for
ln
in
xlf.readlines():
15
if
(
not
ln.startswith(
"Protein1"
))
and
(
not
ln.startswith(
"Linker"
)):
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xls.append(ln)
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else
:
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header = ln
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sampling, evi_calc = [], []
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for
link
in
xls:
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rng = random.random()
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if
rng < perc_to_evi:
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evi_calc.append(link)
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else
:
26
sampling.append(link)
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fname = xl_file.split(
"/"
)[-1]
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dir_path = xl_file.split(
"/"
)
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if
len(dir_path) > 1:
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dir_path =
"/"
.join(dir_path[0:-1])
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else
:
33
dir_path =
"./"
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with open(f
"{dir_path}/sampling_{fname}"
,
"w"
)
as
sf:
35
if
header
is
not
None
:
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sf.write(header)
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for
lnk
in
sampling:
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sf.write(lnk)
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with open(f
"{dir_path}/evicalc_{fname}"
,
"w"
)
as
evif:
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if
header
is
not
None
:
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evif.write(header)
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for
lnk
in
evi_calc:
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evif.write(lnk)