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Creates 1D and 2D arrays representing functions such as sine, cosine and others to be used as easily accessible sample data for many purposes.

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

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verified publisherhiveright.tech

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Creates 1D and 2D arrays representing functions such as sine, cosine and others to be used as easily accessible sample data for many purposes.

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License

BSD-3-Clause (license)

Dependencies

build_runner, build_web_compilers, pedantic, smart_arrays_numerics, smart_arrays_plot_polyline, smart_lorentz_gauss

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