ly_contour {rbokeh} | R Documentation

## Add a "contour" layer to a Bokeh figure

### Description

Computes and draws contour lines.

### Usage

    ly_contour(fig, z, x = seq(0, 1, length.out = nrow(z)), y = seq(0, 1,
      length.out = ncol(z)), nlevels = 10, levels = pretty(range(z, na.rm =
      TRUE), nlevels), color = "black", alpha = 1, width = 1, type = 1,
      lname = NULL, lgroup = NULL, visible = TRUE, ...)

### Arguments

`fig` | figure to modify
`z` | a matrix containing the values to compute contour lines for
`x, y` | locations of grid lines at which the values in `image` are measured (see `contourLines`)
`nlevels, levels` | parameters sent to `contourLines`)
`color` | color to use to stroke lines with - a hex code (with no alpha) or any of the 147 named CSS colors, e.g 'green', 'indigo'
`alpha` | transparency value for the line between 0 (transparent) and 1 (opaque)
`width` | stroke width in units of pixels
`type` | an integer between 1 and 6 matching the `lty` property in `par` or an array of integer pixel distances that describe the on-off pattern of dashing to use
`lname` | layer name
`lgroup` | layer group
`visible` | should the layer be visible?
`...` | additional parameters for fine control over line properties (see "Additional parameters" below)

### Additional parameters

`line_join` | how path segments should be joined together 'miter' 'round' 'bevel'
`line_cap` | how path segments should be terminated 'butt' 'round' 'square'
`line_dash` | an integer between 1 and 6 matching the `lty` property in `par` or an array of integer pixel distances that describe the on-off pattern of dashing to use
`line_dash_offset` | the distance in pixels into the line_dash that the pattern should start from

### See Also

Other layer functions: `ly_abline`, `ly_annular_wedge`, `ly_annulus`, `ly_arc`, `ly_bar`, `ly_bezier`, `ly_boxplot`, `ly_crect`, `ly_curve`, `ly_density`, `ly_hist`, `ly_image_url`, `ly_image`, `ly_lines`, `ly_map`, `ly_multi_line`, `ly_oval`, `ly_patch`, `ly_points`, `ly_polygons`, `ly_quadratic`, `ly_quantile`, `ly_ray`, `ly_rect`, `ly_segments`, `ly_text`, `ly_wedge`

### Examples

    p <- figure(xlim = c(0, 1), ylim = c(0, 1), title = "Volcano") %>%
      ly_image(volcano) %>%
      ly_contour(volcano)
    p

[Package rbokeh version 0.5.0 Index]