from dataset import Dataset
from util import Util


class Feature:
    def __init__(self, use_features):
        self.dataset = Dataset(use_features)
        years = [y for y in range(2008, 2020)]
        self.data = self.dataset.get_data(years, "tokyo")

    def get_dataset(self):
        return self.data.copy()

    def register_feature(self, feature, feature_name):
        Util.dump_feature(feature, feature_name)

    def standarlization(self):
        for name in self.data.columns:
            if self.data[name][0] is int or self.data[name][0] is float:
                self.data[name] = (
                    self.data[name] - self.data[name].mean()
                ) / self.data[name].std(ddof=0)

from dataset import Dataset
from util import Util


class Feature:
    def __init__(self, use_features):
        self.dataset = Dataset(use_features)
        years = [y for y in range(2008, 2020)]
        self.data = self.dataset.get_data(years, "tokyo")

    def get_dataset(self):
        return self.data.copy()

    def register_feature(self, feature, feature_name):
        Util.dump_feature(feature, feature_name)

    def standarlization(self):
        for name in self.data.columns:
            if self.data[name][0] is int or self.data[name][0] is float:
                self.data[name] = (
                    self.data[name] - self.data[name].mean()
                ) / self.data[name].std(ddof=0)
