Transformer for evaluating csv.lark

from lark import Transformer

class CsvTreeToPandasDict(Transformer):
    INT = int
    FLOAT = float
    SIGNED_FLOAT = float
    WORD = str
    NON_SEPARATOR_STRING = str

    def row(self, children):
        return children

    def start(self, children):
        data = {}

        header = children[0].children
        for heading in header:
            data[heading] = []

        for row in children[1:]:
            for i, element in enumerate(row):
                data[header[i]].append(element)

        return data

Total running time of the script: ( 0 minutes 0.000 seconds)

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