#[repr(u8)]pub enum Colormap {
Grayscale = 1,
Inferno = 2,
Magma = 3,
Plasma = 4,
Turbo = 5,
Viridis = 6,
CyanToYellow = 7,
Spectral = 8,
Twilight = 9,
RvizMap = 10,
RvizCostmap = 11,
Costmap = 12,
}Expand description
Component: Colormap for mapping scalar values within a given range to a color.
This provides a number of popular pre-defined colormaps. In the future, the Rerun Viewer will allow users to define their own colormaps, but currently the Viewer is limited to the types defined here.
Variants§
Grayscale = 1
A simple black to white gradient.
This is a sRGB gray gradient which is perceptually uniform.
Inferno = 2
The Inferno colormap from Matplotlib.
This is a perceptually uniform colormap. It interpolates from black to red to bright yellow.
Magma = 3
The Magma colormap from Matplotlib.
This is a perceptually uniform colormap. It interpolates from black to purple to white.
Plasma = 4
The Plasma colormap from Matplotlib.
This is a perceptually uniform colormap. It interpolates from dark blue to purple to yellow.
Turbo = 5
Google’s Turbo colormap map.
This is a perceptually non-uniform rainbow colormap addressing many issues of more traditional rainbow colormaps like Jet. It is more perceptually uniform without sharp transitions and is more colorblind-friendly. Details: https://research.google/blog/turbo-an-improved-rainbow-colormap-for-visualization/
Viridis = 6
The Viridis colormap from Matplotlib
This is a perceptually uniform colormap which is robust to color blindness. It interpolates from dark purple to green to yellow.
CyanToYellow = 7
Rasmusgo’s Cyan to Yellow colormap
This is a perceptually uniform colormap which is robust to color blindness. It is especially suited for visualizing signed values. It interpolates from cyan to blue to dark gray to brass to yellow.
Spectral = 8
The Spectral colormap from Matplotlib.
This is a diverging colormap, often used to visualize data with a meaningful center point, where deviations from that center are important to highlight. It interpolates from red to orange to yellow to green to blue to violet.
Twilight = 9
The Twilight colormap from Matplotlib.
This is a perceptually uniform cyclic colormap from Matplotlib, it is useful for visualizing periodic or cyclic data.
It interpolates from white to blue to purple to red to orange and back to white.
RvizMap = 10
The classic RViz “Map” grid-map colormap intended for occupancy-style SLAM grid maps.
Known values are mapped to a grayscale ramp from white (free) to black (occupied), unknown values are in a green-blue color. Special / illegal values have highlight colors.
RvizCostmap = 11
The classic RViz “Costmap” grid-map colormap for robot navigation cost maps.
Cost values are mapped to blue to red spectrum, and special cost values (e.g. lethal obstacles) have highlight colors. Zero values are fully transparent.
Costmap = 12
A grid-map colormap for robot navigation cost maps.
Semantically equivalent to the RViz cost map but with a more pleasing color palette.
Cost values are mapped to a green to yellow spectrum, and special cost values (e.g. lethal obstacles) have highlight colors. Zero values are fully transparent.
Implementations§
Source§impl Colormap
impl Colormap
Sourcepub fn category(&self) -> ColormapCategory
pub fn category(&self) -> ColormapCategory
Returns the ColormapCategory classification for this colormap.
Trait Implementations§
Source§impl ArrowDataType for Colormap
impl ArrowDataType for Colormap
Source§fn arrow_data_type() -> DataType
fn arrow_data_type() -> DataType
arrow::datatypes::DataType, excluding datatype extensions.Source§impl Component for Colormap
impl Component for Colormap
Source§fn name() -> ComponentType
fn name() -> ComponentType
rerun.components.Position2D.impl Copy for Colormap
Source§impl Enum for Colormap
impl Enum for Colormap
Source§fn docstring_md(self) -> &'static str
fn docstring_md(self) -> &'static str
impl Eq for Colormap
Source§impl FromArrow for Colormap
impl FromArrow for Colormap
Source§fn from_arrow(
arrow_data: &dyn Array,
) -> Result<Vec<Colormap>, DeserializationError>
fn from_arrow( arrow_data: &dyn Array, ) -> Result<Vec<Colormap>, DeserializationError>
Source§fn verify_arrow_array(data: &dyn Array) -> Result<(), DeserializationError>
fn verify_arrow_array(data: &dyn Array) -> Result<(), DeserializationError>
Source§impl SizeBytes for Colormap
impl SizeBytes for Colormap
const IS_POD: bool = true
Source§fn heap_size_bytes(&self) -> u64
fn heap_size_bytes(&self) -> u64
self uses on the heap. Read moreSource§fn total_size_bytes(&self) -> u64
fn total_size_bytes(&self) -> u64
self in bytes, accounting for both stack and heap space.Source§fn stack_size_bytes(&self) -> u64
fn stack_size_bytes(&self) -> u64
self on the stack, in bytes. Read moreimpl StructuralPartialEq for Colormap
Auto Trait Implementations§
impl Freeze for Colormap
impl RefUnwindSafe for Colormap
impl Send for Colormap
impl Sync for Colormap
impl Unpin for Colormap
impl UnsafeUnpin for Colormap
impl UnwindSafe for Colormap
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