Data Manipulation Functions

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Data manipulation functions change the data in some way, such as scaling or flipping it. The functions available are

>> wnew = shift(w, xshift)
>> wwout = shift_x(ww, xshift)
>> wwout = shift_y(ww, yshift)
>> wwout = shift_xy(ww, xshift, yshift)
>> wout = scale(w, factor)
>> wwout = scale_x(ww, factor)
>> wwout = scale_y(ww, factor)
>> wout = flip(w)
>> wwout = flip_x(ww)
>> wwout = flip_y(ww)

Shift Functions

These functions add a value to one of the independent variable arrays (x or y), leaving any related data (such as the signal data) untouched. For instance if an x array, [10, 20, 30, 40, 50], is shifted by 2 the output x array will be [12, 22, 32, 42, 52].

 >> shift_x(ww, xshift)
>> shift_y(ww,yshift)
>> shift_xy(ww,xshift,yshift)
>> shift(w, xshift)


Example:


>> wout = shift_x(ww, 4)


Every x value in wout will have 4 added to them


Scale Functions

Multiplies one of the independent variable arrays (x or y) by a constant.

>> wwout = scale_x(w, xscale)
>> wwout = scale_y(ww, yscale)
>> wwout = scale(ww, xyscale)
  • Input is an IXT_dataset_2d object
  • Output is an IXT_dataset_2d object
  • Scales x by factor xscale
  • Scales y by factor yscale
  • Scales both x and y by amount xyscale


>> wout = scale(w, xscale)

Example:


>> wwout = scale_y(ww, 4)


will multiply every y value in wwout by 4

Flip Functions

All data, including associated signal and error data is reversed in the order it appears in the dataset.