///|
/// Add a masked scalar image. Explicitly masked cells are converted to NaN and
/// therefore follow the colormap's bad-color/transparent-cell policy.
pub fn Figure::imshow_masked(
self : Figure,
data : @core.MaskedMatrix,
vmin? : Double,
vmax? : Double,
cmap~ : String = "gray",
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self
.axes()
.add_image(
data.to_array(),
vmin,
vmax,
resolve_colormap(cmap),
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image using a custom colormap object.
pub fn Figure::imshow_masked_with_colormap(
self : Figure,
data : @core.MaskedMatrix,
cmap : @colors.ColorMap,
vmin? : Double,
vmax? : Double,
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self
.axes()
.add_image(
data.to_array(),
vmin,
vmax,
cmap,
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image with an explicit normalization.
pub fn Figure::imshow_masked_with_norm(
self : Figure,
data : @core.MaskedMatrix,
norm : @colors.ColorNorm,
cmap~ : String = "gray",
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self
.axes()
.add_image_norm(
data.to_array(),
norm,
resolve_colormap(cmap),
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image with explicit normalization and colormap objects.
pub fn Figure::imshow_masked_with_norm_and_colormap(
self : Figure,
data : @core.MaskedMatrix,
norm : @colors.ColorNorm,
cmap : @colors.ColorMap,
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self
.axes()
.add_image_norm(
data.to_array(),
norm,
cmap,
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image through the axes view.
pub fn Axes::imshow_masked(
self : Axes,
data : @core.MaskedMatrix,
vmin? : Double,
vmax? : Double,
cmap~ : String = "gray",
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self.add_image(
data.to_array(),
vmin,
vmax,
resolve_colormap(cmap),
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image through the axes view using a custom colormap.
pub fn Axes::imshow_masked_with_colormap(
self : Axes,
data : @core.MaskedMatrix,
cmap : @colors.ColorMap,
vmin? : Double,
vmax? : Double,
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self.add_image(
data.to_array(),
vmin,
vmax,
cmap,
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image through the axes view with explicit normalization.
pub fn Axes::imshow_masked_with_norm(
self : Axes,
data : @core.MaskedMatrix,
norm : @colors.ColorNorm,
cmap~ : String = "gray",
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self.add_image_norm(
data.to_array(),
norm,
resolve_colormap(cmap),
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}
///|
/// Add a masked scalar image through the axes view with explicit normalization
/// and colormap objects.
pub fn Axes::imshow_masked_with_norm_and_colormap(
self : Axes,
data : @core.MaskedMatrix,
norm : @colors.ColorNorm,
cmap : @colors.ColorMap,
origin~ : String = "upper",
extent~ : Array[Double] = [],
aspect~ : String = "equal",
alpha~ : Double = 1.0,
interpolation~ : String = "nearest",
) -> Unit raise @core.DataError {
self.add_image_norm(
data.to_array(),
norm,
cmap,
origin~,
extent~,
aspect~,
alpha~,
interpolation~,
)
}