ColourUtilities

Library "ColourUtilities"
Utility functions for colour manipulation

adjust_colour(rgb, desaturation_amount, transparency_amount)
  to reduce saturation or increase transparency of an RGB colour
  Parameters:
    rgb (color)
    desaturation_amount (float): 0 means no desaturation (colours remains as-is), and 1 means full desaturation (colour turns grey). Can also be used inversely with negative numbers
    transparency_amount (float): How much more transparent the default transparency should become. E.g. with a value of 0.5, a transparency of 0 becomes 50 and 40 becomes 70. A value of 1 makes it fully transparent, en -1 fully opaque.
  Returns: color with adjusted saturation and transparency

method apply_default_palette(self, palette_name)
  Some nice looking colour palettes, consisting of 6 gradient colours, are already defined here and can be quickly applied to the Palette class
  Namespace types: Palette
  Parameters:
    self (Palette)
    palette_name (string): Currently there are 4 6-coloured palettes available: "GYTS flux signal", "GYTS purple", "GYTS flux filter" and "GYTS maroon"
  Returns: None, as it populates the Palette class with pre-defined colours

method get_colour(self, colour_no, transparency)
  Retrieves colour from the palette and possibly changes transparency if set
  Namespace types: Palette
  Parameters:
    self (Palette)
    colour_no (int): from the palette
    transparency (int): to possibly change the default transparency of the palette
  Returns: colour

method get_dynamic_colour(self, x, mid_point, colour_lb, colour_ub, trend_lookback, use_rate)
  Retrieves a colour based on strength and direction of the passed series
  Namespace types: Palette
  Parameters:
    self (Palette)
    x (float): the input data series
    mid_point (float): value as a cutoff point where the bullish/bearish colour scenario
    colour_lb (float): value (lower bound) where to apply the bearish colour at full strength
    colour_ub (float): value (upper bound) where to apply the bullish colour at full strength
    trend_lookback (int): how much bars back to check if there was a consistent move into a certain direction, otherwise a the neutral colour from the centre of the palette will be used.
    use_rate (bool): whether to use the rate (proportional difference with previous `x` value) or the input series `x` directly
  Returns: colour

Palette
  Fields:
    transparency (series__integer)
    palette (array__color)