Convert Python structures to Mathematica structures

Get the code here.

The module

from mmaformatter import get_mma, save_as_mma

provides functions for converting Python floats, complex numbers, lists, tuples, sets and dictionaries to their corresponding Mathematica form, e.g. scientific notation, associations. An equivalent module for C can be found here.

One can pass any nested structure of arrays, tuples, sets, dictionaries (of primitives ints, floats, comple numbers, bools and strings) to get_mma to get strings of their Mathematica form.

For example

>>> get_mma(-1/999)
'-1.00100*10^-03'

>>> get_mma(1/(3+2j), precision=2)
'2.31*10^-01-1.54*10^-01I'

>>> get_mma([1, 1/2, 3j])
'{1, 5.00000*10^-01, 0+3I}'

and here printing the output (for clarity)

>>> get_mma({1:2, "cat":"dog"})

<|  
    1 -> 2,  
    "cat" -> "dog"  
|>

>>> get_mma(
        {"Tyson":(0,0,7), "nest":{"birds":4}}, 
        keep_symbols=True)

<|  
    Tyson -> {0, 0, 7},  
    nest -> <| birds -> 4 |>   
|>

The function save_as_mma can take the same structures and write their Mathematica form to file, to be read by Mathematica.

For example,

data = [1.013, 10.331, .59102, 5.0, 6.0]
struc = {"patient":"Tyson", "trial":112, "conductivity":data}
save_as_mma(struc, "assoc.txt", precision=2)

produces a file "assoc.txt" with contents

<|
    "trial" -> 112,
    "patient" -> "Tyson",
    "conductivity" -> {1.01*10^+00, 1.03*10^+01, 5.91*10^-01, 5, 6}
|>

which can then be read into Mathematica via

SetDirectory @ NotebookDirectory[];
assoc = Get["assoc.txt"]

ListLinePlot @ assoc["conductivity"]

which produces the very-terrific graph

Both get_mma and save_as_mma accept optional arguments

key_order: use explicit ordering in the Mathematica association for the keys in the passed dictionary
keep_symbols: whether python strings should be converted to Mathematica symbols, else be enquoted to become strings
precision: the number of decimal digits in the scientific notation format of floats
keep_ints: whether integers should be kept formatted as such, else converted to scientific notation (at the precision supplied); applies to the real and imaginary components of complex numbers too

TysonRayJones/Py_MMA_Formatter.md

Convert Python structures to Mathematica structures