I have a project in which I run multiple data through a specific function that "cleans"
them.
The cleaning function looks like this: Misc.py
def clean(my_data)
sys.stdout.write("Cleaning genes...\n")
synonyms = FileIO("raw_data/input_data", 3, header=False).openSynonyms()
clean_genes = {}
for g in data:
if g in synonyms:
# Found a data point which appears in the synonym list.
#print synonyms[g]
for synonym in synonyms[g]:
if synonym in data:
del data[synonym]
clean_data[g] = synonym
sys.stdout.write("\t%s is also known as %s\n" % (g, clean_data[g]))
return data
FileIO
is a custom class I made to open files.
My question is, this function will be called many times throughout the program's life cycle. What I want to achieve is don't have to read the input_data every time since it's gonna be the same every time. I know that I can just return it, and pass it as an argument in this way:
def clean(my_data, synonyms = None)
if synonyms == None:
...
else
...
But is there another, better looking way of doing this?
My file structure is the following:
lib
Misc.py
FileIO.py
__init__.py
...
raw_data
runme.py
From runme.py
, I do this from lib import *
and call all the functions I made.
Is there a pythonic way to go around this? Like a 'memory' for the function
Edit:
this line: synonyms = FileIO("raw_data/input_data", 3, header=False).openSynonyms()
returns a collections.OrderedDict()
from input_data
and using the 3rd column as the key of the dictionary.
The dictionary for the following dataset:
column1 column2 key data
... ... A B|E|Z
... ... B F|W
... ... C G|P
...
Will look like this:
OrderedDict([('A',['B','E','Z']), ('B',['F','W']), ('C',['G','P'])])
This tells my script that A
is also known as B,E,Z
. B
as F,W
. etc...
So these are the synonyms. Since, The synonyms list will never change throughout the life of the code. I want to just read it once, and re-use it.