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/*
* Copyright (c) 2021. JetBrains s.r.o.
* Use of this source code is governed by the MIT license that can be found in the LICENSE file.
*/
package jetbrains.letsPlot.scale
import jetbrains.datalore.plot.base.Aes
import jetbrains.datalore.plot.config.Option
import jetbrains.letsPlot.intern.Options
import jetbrains.letsPlot.intern.Scale
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: list of strings containing
* a) names of colors (i.e. 'green')
* b) hex codes of colors (i.e 'x00ff00')
* c) css colors (i.e 'rgb(0,255,0)')
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide
* Guide to use for this scale.
* It can either be a string ("colorbar", "legend") or a call to a guide function (guideColorbar(), guideLegend())
* specifying additional arguments.
* "none" will hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
fun scaleColorIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Any? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.COLOR,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity"
)
)
)
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: list of strings containing
* a) names of colors (i.e. 'green')
* b) hex codes of colors (i.e 'x00ff00')
* c) css colors (i.e 'rgb(0,255,0)')
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide
* Guide to use for this scale.
* It can either be a string ("colorbar", "legend") or a call to a guide function (guideColorbar(), guideLegend())
* specifying additional arguments.
* "none" will hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
fun scaleFillIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Any? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.FILL,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity"
)
)
)
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: numeric codes of shapes.
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide A result returned by guideLegend() function or "none" to hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
fun scaleShapeIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Any? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.SHAPE,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity",
Option.Scale.DISCRETE_DOMAIN to true
)
)
)
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: numetic codes or names of line types (i.e 'dotdash').
* The codes are: 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide A result returned by guideLegend() function or "none" to hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
@Suppress("SpellCheckingInspection")
fun scaleLinetypeIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Any? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.LINETYPE,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity",
Option.Scale.DISCRETE_DOMAIN to true
)
)
)
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: numetic values in range `[0..1`]
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide A result returned by guideLegend() function or "none" to hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
fun scaleAlphaIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Number? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.ALPHA,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity"
)
)
)
/**
* Use this scale when your data has already been scaled.
* I.e. it already represents aesthetic values that ggplot2 can handle directly.
* This will not produce a legend unless you also supply the breaks and labels.
*
* Input data expected: positive numeric values
*
* @param name string
* The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale
* is taken from the first mapping used for that aesthetic.
* @param breaks list of numbers
* A numeric vector of positions (of ticks)
* @param labels : list of strings
* A vector of labels (on ticks)
* @param limits list
* Continuous scale: a numeric vector of length two providing limits of the scale.
* Discrete scale: a vector specifying the data range for the scale. and the default order of their display in guides.
* @param naValue an aesthetic value which is used when data in not available.
* @param format string
* Specifies the format pattern for labels on the scale.
* @param guide A result returned by guideLegend() function or "none" to hide the guide.
*
* Format patterns in the `format` parameter can be just a number format (like "d") or
* a string template where number format is surrounded by curly braces: "{d} cylinders".
* Note: the "$" must be escaped as "\$"
* For more info see: https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md
*
* Examples:
* ".2f" -> "12.45"
* "Score: {.2f}" -> "Score: 12.45"
* "Score: {}" -> "Score: 12.454789"
*
*/
fun scaleSizeIdentity(
name: String? = null,
breaks: List? = null,
labels: List? = null,
limits: List? = null,
naValue: Number? = null,
format: String? = null,
guide: Any? = null
) = Scale(
aesthetic = Aes.SIZE,
name = name,
breaks = breaks,
labels = labels,
limits = limits,
naValue = naValue,
format = format,
guide = guide,
otherOptions = Options(
mapOf(
Option.Scale.SCALE_MAPPER_KIND to "identity"
)
)
)
