# Drakkar-Software OctoBot
# Copyright (c) Drakkar-Software, All rights reserved.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 3.0 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library.
import numpy as np
class DataUtil:
@staticmethod
def normalize_data(data):
if data.size > 0:
return (data - np.mean(data)) / (data.max() - data.min())
else:
return data
@staticmethod
def drop_nan(data):
return data[~np.isnan(data)]
@staticmethod
def mean(number_list):
return sum(number_list) / len(number_list) if number_list else 0