PINE LIBRARY
ColourUtilities
Updated
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)
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)
Release Notes
v2- [Added]: Returns the average of two colours. Weights of each colour and output transparency can be overridden.
Release Notes
- `adjust_colour()` now uses DSP method to make very smooth gradients
- Added more colour palettes to `Palette`
- Fixed bug in `get_dynamic_colour()` in which argument `use_rate` didn't behave as expected
Pine library
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in a publication is governed by House rules.
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