comparison COBRAxy/flux_to_map.py @ 185:c933b2c6a39e draft

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184:b5b7960a208e

        type = str,
        default='result',
        help = 'output path for maps')

    args :argparse.Namespace = parser.parse_args(args)
    args.net = True

    return args
          
############################ dataset input ####################################
def read_dataset(data :str, name :str) -> pd.DataFrame:

        core_map : mut
    """
    maxT = 12
    minT = 2
    grey = '#BEBEBE'
    blue = '#6495ed'
    red = '#ecac68'
    for el in core_map.iter():
        el_id = str(el.get('id'))
        if el_id.startswith('R_'):
            tmp = d.get(el_id[2:])
            if tmp != None:

        if not math.isinf(foldChange):
            try: 
                width = max(abs(z_score * Arrow.MAX_W) / maxNumericZScore, Arrow.MIN_W) 

            except ZeroDivisionError: pass
        
        #if not reactionId.endswith("_RV"): # RV stands for reversible reactions
        #    Arrow(width, ArrowColor.fromFoldChangeSign(foldChange)).styleReactionElements(metabMap, reactionId)
        #    continue
        
        #reactionId = reactionId[:-3] # Remove "_RV"

        # vvv These 2 if statements can both be true and can both happen
        if ARGS.net: # style arrow head(s):
            arrow.styleReactionElements(metabMap, reactionId + ("_B" if inversionScore == 2 else "_F"))
            arrow.applyTo(("F_" if inversionScore == 2 else "B_") + reactionId, metabMap, f";stroke:{ArrowColor.Transparent};stroke-width:0;stroke-dasharray:None")

        arrow.styleReactionElements(metabMap, reactionId, mindReactionDir = False)


############################ split class ######################################
def split_class(classes :pd.DataFrame, resolve_rules :Dict[str, List[float]]) -> Dict[str, List[List[float]]]:
    """

185:c933b2c6a39e

        type = str,
        default='result',
        help = 'output path for maps')

    args :argparse.Namespace = parser.parse_args(args)
    args.net = True # TODO SICCOME I FLUSSI POSSONO ESSERE ANCHE NEGATIVI SONO SEMPRE CONSIDERATI NETTI

    return args
          
############################ dataset input ####################################
def read_dataset(data :str, name :str) -> pd.DataFrame:

        core_map : mut
    """
    maxT = 12
    minT = 2
    grey = '#BEBEBE'
    blue = '#6495ed' # azzurrino
    red = '#ecac68' # arancione
    for el in core_map.iter():
        el_id = str(el.get('id'))
        if el_id.startswith('R_'):
            tmp = d.get(el_id[2:])
            if tmp != None:

        if not math.isinf(foldChange):
            try: 
                width = max(abs(z_score * Arrow.MAX_W) / maxNumericZScore, Arrow.MIN_W) 

            except ZeroDivisionError: pass
        # TODO CHECK RV
        #if not reactionId.endswith("_RV"): # RV stands for reversible reactions
        #    Arrow(width, ArrowColor.fromFoldChangeSign(foldChange)).styleReactionElements(metabMap, reactionId)
        #    continue
        
        #reactionId = reactionId[:-3] # Remove "_RV"

        # vvv These 2 if statements can both be true and can both happen
        if ARGS.net: # style arrow head(s):
            arrow.styleReactionElements(metabMap, reactionId + ("_B" if inversionScore == 2 else "_F"))
            arrow.applyTo(("F_" if inversionScore == 2 else "B_") + reactionId, metabMap, f";stroke:{ArrowColor.Transparent};stroke-width:0;stroke-dasharray:None")

        arrow.styleReactionElements(metabMap, reactionId, mindReactionDir = True)


############################ split class ######################################
def split_class(classes :pd.DataFrame, resolve_rules :Dict[str, List[float]]) -> Dict[str, List[List[float]]]:
    """