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media readme updates May 23, 2018

Easing Animations with Python

This is a set of functions that allow you to bring After effects style easing to your python animation by interpolatating a set of parametric arrays.

Ingredients necessary to make the animations:

  • an intitial time vector
  • a dependent data matrix - each row will be a different variable, the columns correspond to the initial time vector
  • an output time vecotr upon which to be interpolated

Interpolation class

Before generating the easing, you must create the object of class easing

    ease = Eased(data, input_time_vector, output_time_vector)

All subsequent functions will be called on this object.


Power Interpolation

The primary form of interpolative easing (or tweening) is based on powers (e.g. linear, quadratic, cubic etc.) The power easing function takes one variable - the exponent integer (n). Increasing the interger increases the sharpness of the transition.

   out_data = ease.power_ease(n)



No interpolation

If you simply want to extend the data to have the same number of points as an interpolated set without actually interpolating, simply call the No_interp() function

    out_data = ease.No_interp()
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