Datasets

See the data format page for information on the .ts file format used by aeon.

load_from_ts_file(full_file_path_and_name[, ...])	Load time series .ts file into X and (optionally) y.
load_from_tsf_file(full_file_path_and_name)	Convert the contents in a .tsf file into a dataframe.
load_from_arff_file(full_file_path_and_name)	Load data from a classification/regression WEKA arff file to a 3D numpy array.
load_from_tsv_file(full_file_path_and_name)	Load data from a .tsv file into a numpy array.
load_from_timeeval_csv_file(path)	Load a TimeEval-formatted CSV file into memory.
load_anomaly_detection(name[, split, ...])	Load an anomaly detection dataset.
load_classification(name[, split, ...])	Load a classification dataset.
load_forecasting(name[, extract_path, ...])	Download/load forecasting problem from https://forecastingdata.org/.
load_regression(name[, split, extract_path, ...])	Download/load regression problem.
download_all_regression([extract_path])	Download and unpack all of the Monash TSER datasets.
load_time_series_segmentation_benchmark([...])	Load the Time Series Segmentation Benchmark (TSSB).
load_human_activity_segmentation_datasets([...])	Load the Human Activity Segmentation Challenge data sets.
write_to_ts_file(X, path[, y, problem_name, ...])	Write an aeon collection of time series to text file in .ts format.
write_to_arff_file(X, y, path[, ...])	Write an aeon collection of time series to text file in .arff format.
load_airline([return_array])	Load the airline univariate time series dataset [1].
load_arrow_head([split, return_type])	Load the ArrowHead univariate time series classification problem.
load_gunpoint([split, return_type])	Load the GunPoint univariate time series classification problem.
load_basic_motions([split, return_type])	Load the BasicMotions time series classification problem.
load_osuleaf([split, return_type])	Load the OSULeaf univariate time series classification problem.
load_italy_power_demand([split, return_type])	Load ItalyPowerDemand univariate time series classification problem.
load_japanese_vowels([split])	Load the JapaneseVowels time series classification problem.
load_plaid([split])	Load the PLAID univariate time series classification problem.
load_longley([return_array])	Load the Longley multivariate time series.
load_lynx([return_array])	Load the lynx univariate time series dataset for forecasting.
load_shampoo_sales([return_array])	Load the shampoo sales univariate time series dataset for forecasting.
load_unit_test([split, return_type])	Load UnitTest data.
load_uschange([return_array])	Load US Change forecasting dataset.
load_PBS_dataset([return_array])	Load the Pharmaceutical Benefit Scheme univariate time series dataset [Redabc7902bbd-1].
load_japanese_vowels([split])	Load the JapaneseVowels time series classification problem.
load_gun_point_segmentation()	Load the GunPoint time series segmentation problem and returns X.
load_electric_devices_segmentation()	Load the Electric Devices segmentation problem and returns X.
load_acsf1([split, return_type])	Load the ACSF1 univariate dataset on power consumption of typical appliances.
load_unit_test_tsf([return_type])	Load tsf UnitTest dataset.
load_solar([return_array])	Get national solar estimates for GB from Sheffield Solar PV_Live API.
load_cardano_sentiment([split, return_type])	Load dataset of historical sentiment data for Cardano cryptocurrency.
load_covid_3month([split, return_type])	Load dataset of last three months confirmed covid cases.
load_kdd_tsad_135([split])	Load the KDD-TSAD 135 UCR_Anomaly_Internal_Bleeding16 univariate dataset.
load_daphnet_s06r02e0()	Load the Daphnet S06R02E0 multivariate time series dataset.
load_ecg_diff_count_3([learning_type])	Load the synthetic ECG dataset 'ecg-diff-count-3'.
get_dataset_meta_data([data_names, ...])	Retrieve dataset meta data from timeseriesclassification.com.