ribolands/barmap.py
def pathlist(mapdata):
    '''
    Translate a list of dictionaries with mapping information into
    a list of trajectories for lmin-transitions

    :return: plist
    '''
    print(mapdata)

    # initialize path-lists with first lmins
    plist = [[i + 1] for i in range(len(mapdata[0]))]

    # append the mapping for each current minimum
    for m, mdict in enumerate(mapdata):
        seen = set()
        for path in plist:
            last = path[-1]
            # print path, "last: ", last, mdict[last]
            path.append(mdict[last])
            seen.add(mdict[last])

        # for path in plist: print "update: ", path

        # add new pathlists for lmins that appear in
        # the next landscape for the first time
        if m == len(mapdata) - 1:
            break
        for newmin in sorted(
                mapdata[m + 1], key=mapdata[m + 1].get, reverse=False):
            if newmin not in seen:
                newpath = [0 for i in range(len(plist[0]) - 1)]
                newpath.append(newmin)
                # print "Adding new path: ", newpath
                plist.append((newpath))

    return sorted(plist, key=lambda m: m[-1])

    Translate a list of dictionaries with mapping information into
    a list of trajectories for lmin-transitions

    :return: plist
    
Translate a list of dictionaries with mapping information into
a list of trajectories for lmin-transitions
Translate a list of dictionaries with mapping information into a list of trajectories for lmin - transitions
def pathlist(mapdata):
    print(mapdata)
    plist = [[i + 1] for i in range(len(mapdata[0]))]
    for m, mdict in enumerate(mapdata):
        seen = set()
        for path in plist:
            last = path[-1]
            path.append(mdict[last])
            seen.add(mdict[last])
        if m == len(mapdata) - 1:
            break
        for newmin in sorted(
                mapdata[m + 1], key=mapdata[m + 1].get, reverse=False):
            if newmin not in seen:
                newpath = [0 for i in range(len(plist[0]) - 1)]
                newpath.append(newmin)
                plist.append((newpath))
    return sorted(plist, key=lambda m: m[-1])
def pathlist ( mapdata ) : print ( mapdata ) plist = [ [ i + 1 ] for i in range ( len ( mapdata [ 0 ] ) ) ] for m , mdict in enumerate ( mapdata ) : seen = set ( ) for path in plist : last = path [ - 1 ] path . append ( mdict [ last ] ) seen . add ( mdict [ last ] ) if m == len ( mapdata ) - 1 : break for newmin in sorted ( mapdata [ m + 1 ] , key = mapdata [ m + 1 ] . get , reverse = False ) : if newmin not in seen : newpath = [ 0 for i in range ( len ( plist [ 0 ] ) - 1 ) ] newpath . append ( newmin ) plist . append ( ( newpath ) ) return sorted ( plist , key = lambda m : m [ - 1 ] )
Translate a list of dictionaries with mapping information into
a list of trajectories for lmin-transitions
Translate a list of dictionaries with mapping information into a list of trajectories for lmin - transitions
'''
    Translate a list of dictionaries with mapping information into
    a list of trajectories for lmin-transitions

    :return: plist
    ''' # initialize path-lists with first lmins # append the mapping for each current minimum # print path, "last: ", last, mdict[last] # for path in plist: print "update: ", path # add new pathlists for lmins that appear in # the next landscape for the first time # print "Adding new path: ", newpath
None
mapdata