Created
October 15, 2020 12:06
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import math | |
import numpy as np | |
import pandas as pd | |
from tsgen.time_serie import TimeSerie | |
def affine(start, end, freq, start_y, end_y): | |
index = pd.date_range(start=start, end=end, freq=freq) | |
return TimeSerie(index=index, y=np.linspace(start_y, end_y, len(index))) | |
def constant(start, end, freq, value): | |
return affine(start, end, freq, value, value) | |
def cosine(start, end, freq, amp=1, n_periods=1): | |
index = pd.date_range(start=start, end=end, freq=freq) | |
return TimeSerie( | |
index=index, | |
y=amp | |
* np.cos(np.linspace(0, 2 * math.pi * n_periods, num=len(index))), | |
) | |
def sine(start, end, freq, n_periods=1): | |
index = pd.date_range(start=start, end=end, freq=freq) | |
return TimeSerie( | |
index=index, | |
y=np.sin(np.linspace(0, 2 * math.pi * n_periods, num=len(index))), | |
) |
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