Witryna19 sty 2015 · import numpy as np import matplotlib.pyplot as plt bad = obs['flag'] == 2 corrected = obs['flag'] == 1 obs[bad] = np.NaN obs['anomaly'] = obs['elev'] - obs['elev'].mean() obs['anomaly'] = obs['anomaly'].interpolate() Note that ttide_py needs the input to be NumPy arrays. In [4]: Witryna14 sty 2024 · import ttide as tt. import numpy as np. t = np.arange(1001) m2_freq = 2 * np.pi / 12.42. elev = 5 * np.cos(m2_freq * t) tfit_e = tt.t_tide(elev) elev_fit = tfit_e(t) …
ttide_py/README.md at master · moflaher/ttide_py · GitHub
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