hyperspy.api_nogui module

All public packages, functions and classes are available in this module.

When starting HyperSpy using the hyperspy script (e.g. by executing hyperspy in a console, using the context menu entries or using the links in the Start Menu, the api package is imported in the user namespace as hs, i.e. by executing the following:

>>> import hyperspy.api as hs

(Note that code snippets are indicated by three greater-than signs)

We recommend to import the HyperSpy API as above also when doing it manually. The docstring examples assume that hyperspy has been imported as hs, numpy as np and matplotlib.pyplot as plt.

Functions:

create_model

Create a model for curve fitting.

get_configuration_directory_path

Return the configuration directory path.

load

Load data into BaseSignal instances from supported files.

preferences

Preferences class instance to configure the default value of different parameters. It has a CLI and a GUI that can be started by execting its gui method i.e. preferences.gui().

stack

Stack several signals.

interactive

Define operations that are automatically recomputed on event changes.

set_log_level

Convenience function to set HyperSpy’s the log level.

The api package contains the following submodules/packages:

signals

Signal classes which are the core of HyperSpy. Use this modules to create Signal instances manually from numpy arrays. Note that to load data from supported file formats is more convenient to use the load function.

model

Contains the components module with components that can be used to create a model for curve fitting.

eds

Functions for energy dispersive X-rays data analysis.

material

Useful functions for materials properties and elements database that includes physical properties and X-rays and EELS energies.

plot

Plotting functions that operate on multiple signals.

datasets

Example datasets.

roi

Region of interests (ROIs) that operate on BaseSignal instances and include widgets for interactive operation.

samfire

SAMFire utilities (strategies, Pool, fit convergence tests)

For more details see their doctrings.