Plotting Time Series¶

This is a simple notebook displaying some of the visualisation functionalities for plotting time series available in aeon.

This is in-progress, and does not contain detailed descriptions and documentation yet.

In [2]:

from aeon.datasets import load_airline, load_arrow_head

airline = load_airline(return_array=False)
airline_train, airline_test = airline[:-24], airline[-24:]
arrowhead_X, arrowhead_y = load_arrow_head()

Series¶

In [3]:

from aeon.visualisation import (
    plot_correlations,
    plot_lags,
    plot_series,
    plot_spectrogram,
)

In [4]:

_ = plot_series(airline)

In [6]:

_ = plot_lags(airline, lags=2)

In [7]:

_ = plot_lags(airline, lags=[1, 2, 3])

In [8]:

_ = plot_correlations(airline)

In [9]:

_ = plot_spectrogram(airline)

C:\Code\aeon\aeon\visualisation\series\_series.py:399: UserWarning: nperseg = 256 is greater than input length  = 144, using nperseg = 144
  _, _, _spectrogram = spectrogram(series, fs=fs, return_onesided=return_onesided)

In [10]:

_ = plot_spectrogram(airline, return_onesided=False)

Collections¶

In [11]:

from aeon.visualisation import plot_collection_by_class, plot_series_collection

In [12]:

_ = plot_series_collection(arrowhead_X[:3])

In [13]:

_ = plot_series_collection(arrowhead_X[:9], arrowhead_y[:9])

In [14]:

_ = plot_collection_by_class(arrowhead_X[:9], arrowhead_y[:9])