def feature_extract(dt):
import tsfresh.feature_extraction.feature_calculators as fc
ft = {
'abs_energy': fc.abs_energy(dt),
'sum_values': fc.sum_values(dt),
'mean': fc.mean(dt),
'maximum': fc.maximum(dt),
'minimum': fc.minimum(dt),
'median': fc.median(dt),
'quantile_0.1': fc.quantile(dt, 0.1),
'quantile_0.2': fc.quantile(dt, 0.2),
'quantile_0.3': fc.quantile(dt, 0.3),
'quantile_0.4': fc.quantile(dt, 0.4),
'quantile_0.5': fc.quantile(dt, 0.5),
'quantile_0.6': fc.quantile(dt, 0.6),
'quantile_0.7': fc.quantile(dt, 0.7),
'quantile_0.8': fc.quantile(dt, 0.8),
'quantile_0.9': fc.quantile(dt, 0.9),
#
# TODO:
# Below functions dont works well -> need to be checked!!
#
#'fft_coefficient__coeff_0__attr_real': fc.fft_coefficient(dt {"coeff": 0, "attr": "real"}),
#'fft_coefficient__coeff_0__attr_imag': fc.fft_coefficient(dt {"coeff": 0, "attr": "imag"}),
#'fft_coefficient__coeff_0__attr_abs': fc.fft_coefficient(dt {"coeff": 0, "attr": "abs"}),
#'fft_coefficient__coeff_0__attr_angle': fc.fft_coefficient(dt {"coeff": 0, "attr": "angle"}),
#
#=> Mr. Huy just fix this issue with above function fft_ft !!
}
ft.update(fft_ft(dt))
return ft
def sum_values(mag):
"""Sums over all mag values.
rtype: float
"""
val = ts.sum_values(mag)
return val
def time_series_sum_values(x):
"""
:param x: the time series to calculate the feature of
:type x: pandas.Series
:return: the value of this feature
:return type: bool
"""
return ts_feature_calculators.sum_values(x)
def TS_features12(signal):
stand_deviation = ts.standard_deviation(signal)
sum_reoccurring = ts.sum_of_reoccurring_data_points(signal)
sum_r_value = ts.sum_of_reoccurring_values(signal)
sum_v = ts.sum_values(signal)
variance = ts.variance(signal)
variance_larger_than_sd = ts.variance_larger_than_standard_deviation(
signal)
return stand_deviation, sum_reoccurring, sum_r_value, sum_v, variance, variance_larger_than_sd