G. Mias Lab »

Utility functions

Submodule pyiomica.utilityFunctions

Utility functions

Functions:

readMathIOmicaData(fileName)	Read text files exported by MathIOmica and convert to Python data
runCPUs(NumberOfAvailableCPUs, func, ...)	Parallelize function call with multiprocessing.Pool.
createReverseDictionary(inputDictionary)	Efficient way to create a reverse dictionary from a dictionary.
createDirectories(path)	Create a path of directories, unless the path already exists.

readMathIOmicaData(fileName)

Read text files exported by MathIOmica and convert to Python data

Parameters:

fileName: str

Path of directories and name of the file containing data

Returns:

data

Python data

Usage:

data = readMathIOmicaData(“../../MathIOmica/MathIOmica/MathIOmicaData/ExampleData/rnaExample”)

runCPUs(NumberOfAvailableCPUs, func, list_of_tuples_of_func_params)

Parallelize function call with multiprocessing.Pool.

Parameters:

NumberOfAvailableCPUs: int

Number of processes to create

func: function

Function to apply, must take at most one argument

list_of_tuples_of_func_params: list

Function parameters

Returns:

2d numpy.array

Results of func in a numpy array

Usage:

results = runCPUs(4, pAutocorrelation, [(times[i], data[i], allTimes) for i in range(10)])

createReverseDictionary(inputDictionary)

Efficient way to create a reverse dictionary from a dictionary. Utilizes Pandas.Dataframe.groupby and Numpy arrays indexing.

Parameters:

inputDictionary: dictionary

Dictionary to reverse

Returns:

dictionary

Reversed dictionary

Usage:

revDict = createReverseDictionary(Dict)

createDirectories(path)

Create a path of directories, unless the path already exists.

Parameters:

path: str

Path directory

Returns:

None

Usage:

createDirectories(“/pathToFolder1/pathToSubFolder2”)