# Copyright 2019 School of Physics & Astronomy, Monash University
#
# This file is part of monashspa.
#
# monashspa is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# monashspa 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with monashspa. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
import pandas
[docs]def read_data(filepath):
"""Reads the csv file produced by the thermoelectricity software
Arguments:
filepath: The path to the .csv file
Returns:
A 2D numpy array containing the data from the file, with columns
date-time, delta_t from row 0, T_Cold, T_Hot, T_Case, I_Heat, V_Heat,
I_Pelt, V_Pelt, respectively.
"""
df = pandas.read_csv(filepath, parse_dates={'Datetime':[0,1]})
# convert to numpy array
arr = df.to_numpy()
# calculate timedeltas
time_delta = np.zeros((arr.shape[0],))
# vectorise the conversion to total seconds
f = np.vectorize(lambda x: x.total_seconds())
# calculate the timedelta column
time_delta[1:] = f(arr[1:,0]-np.array(arr[0,0]))
# insert the timedelta column at column 1
arr = np.insert(arr, 1, time_delta, axis=1)
return arr