src.data_loading package

Submodules

src.data_loading.bsose_download module

Download the data from dropbox links.

‘get_zip’ 1694.64639 s

‘un_zip’ 444.41240 s

‘clean_up’ 4.04602 s

‘get_and_unzip’ 2143.10502 s

Example

Import statement::

from src.data_loading.bsose_download import get_data

Run statement::

get_data()

src.data_loading.bsose_download.get_and_unzip(direc, url, name)

Get the data and unzip it.

Parameters

  • direc (str) – directory to put the data in.

  • url (str) – url of the zip file.

  • name (str) – name of file.

Return type

None

src.data_loading.bsose_download.get_data()

Downloads data.

Return type

None

src.data_loading.io_names module

Defaults for naming files.

src.data_loading.io_names.return_folder(k_clusters, pca_components)

Return return folder name.

Parameters

  • k_clusters (int) – The number of classes.

  • pca_components (int) – The number of pcas.

Returns

file names.

Return type

str

src.data_loading.io_names.return_name(k_clusters, pca_components)

Return name.

Parameters

  • k_clusters (int) – The number of classes.

  • pca_components (int) – The number of pcas.

Returns

file names.

Return type

str

src.data_loading.io_names.return_pair_i_metric(k_clusters=5, pca=3, save_nc=True, t_index=40)

Return pair i metric.

Parameters

  • k_clusters (int, optional) – Number of clusters. Defaults to cst.K_CLUSTERS.

  • pca (int, optional) – Number of principal components. Defaults to cst.D_PCS.

  • save_nc (bool, optional) – Whether or not to save the resulting dataset. Defaults to True.

  • t_index (int, optional) – time index cst.EXAMPLE_TIME_INDEX.

Returns

pair i metric.

Return type

xr.DataArray

src.data_loading.io_names.return_plot_folder(k_clusters, pca_components)

Return plot folder name.

Parameters

  • k_clusters (int) – The number of classes.

  • pca_components (int) – The number of pcas.

Returns

file names.

Return type

str

src.data_loading.xr_loader module

Xarray values.

src.data_loading.xr_loader.order_indexes(dataarray, index_list)

Order indices.

Goes from a datarray to a numpy array, ideally guaranteeing that the ordering of the numpy array is the same as would be expected.

Parameters

  • dataarray (xr.DataArray) – [description]

  • index_list (list) – [description]

Returns

the numpy array which has been correctly ordered.

Return type

np.ndarray

Module contents