def plot(self, title=""):
"""For plotting"""
_scatter_plot(self.data['ref_spd'].values.flatten(),
self.data['target_spd'].values.flatten(),
self._predict(self.data['ref_spd']).values.flatten(),
title=title,
prediction_marker='k.')
def plot_wind_vane(self):
"""
Plots reference and target directions in a scatter plot
"""
# _scatter_plot(self.ref_dir, self.target_dir,title='original data')
_scatter_plot(
self.data['ref_dir'][(self.data['ref_spd'] > self.cutoff) & (self.data['target_spd'] > self.cutoff)],
self.data['target_dir'][(self.data['ref_spd'] > self.cutoff) & (self.data['target_spd'] > self.cutoff)],
x_label='Reference direction', y_label="Target direction")
def plot(self, title=""):
"""For plotting"""
return _scatter_plot(self.data['ref_spd'].values.flatten(),
self.data['target_spd'].values.flatten(),
self._predict(
self.data['ref_spd']).values.flatten(),
title=title)
def plot_model(self, title):
_scatter_plot(
sorted(self.sector_ref.values.flatten()),
sorted(self.sector_target.values.flatten()),
sorted(self.sector_predict(self.sector_ref).values.flatten()))
