Smart Arrays Sample Data

What the package can do for you

It is often the case that one needs sample data for testing software, for presentations and other purposes. This package computes one and two-dimensional arrays representing functions such a sine, cosine, and more.

Example

The major API functionalities

Each function is represented by its own class in this package. Examples:

  • Class sine1D to compute a sine wave with various parameters, including white noise to simulate measurement data.

  • Class sinc to compute a sine cardinal ("sinc") wave with various parameters..

  • Class XsinYcos2D to compute a 2D mixture of sine and linear components.

smart_arrays_base: Basic functions for 1D and 2D arrays

smart_arrays_numerics: Numerics with 1D and 2D arrays

smart_arrays_compress: Compress 1D and 2D arrays to a smaller size.

smart_arrays_dbstore: Stores 1D and 2D arrays along with metadata on the local device.

smart_arrays_plot_polyline: Plots 1D arrays as polyline along with axes and more.

smart_arrays_peaks: Detect peaks in 1D and 2D arrays.

smart_arrays_contour_finder: Contours the three-dimensional surface represented by the values f(x,y) of a matrix.

smart_arrays_lmfit: Fits (x, y) data given as arrays to a specified model function using the Levenberg-Marquardt algorithm.

smart_lorentz_gauss: Compute Lorentz-Gauss (pseudo-Voigt) line shapes.

smart_signal_processing: Fourier transform and more of arrays.

smart_dialogs: Easy-to-use dialogs in Web applications

Libraries

smart_arrays_sample_data