pyvlines: Plot vertical lines using pyplot.vlines

In mpastell/Rpyplot: R interface to matplotlib

Description

Plot vertical lines using pyplot.vlines

Usage

pyvlines(x, ymin, ymax, colors = "k", linestyles = "solid", label = "",
  args = NULL, show = FALSE)

Arguments

x	numeric or a numeric vector with x-values for vertical lines
ymin	numeric or a numeric vector of length(x) indicating lower y-values of the lines
ymax	numeric or a numeric vector of length(x) indicating upper y-values of the lines
colors	color of the line(s) (default: "k"), can be one of single character for basic built-in matplotlib colors, see http://matplotlib.org/api/colors_api.html#module-matplotlib.colors a numeric value between 0 and 1 as character, indicating gray shade, e.g. "0.75" hex string, e.g. "#00ff00" for green character string with HTML color name, e.g. "slateblue", see http://www.w3schools.com/html/html_colornames.asp a character vector of length(x) containing a color specification as described above for each point separately a numeric vector of length(x), where each numeric is used to map the according point to a colormap using the cmap, norm, vmin and vmax arguments a numeric matrix with length(x) rows and three columns. Each row represents one point in x/y, the rows set values for RGB (red, green and blue, each between 0 and 1) a numeric matrix with length(x) rows and four columns. Each row represents one point in x/y, the rows set values for RGBA (red, green, blue and alpha, each between 0 and 1)
label	character string
args	character string of further arguments passed to the **kwargs argument of matplotlib.pyplot.vlines
show	bool indicating whether to open a window with the plot
linestyle	character string or character vector of length(x) indicating the linestyle(s), using "solid" (default), "dashed", "dashdot" or "dotted"

See Also

pyhlines http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.vlines

Examples

pyvlines(c(1, 3, 5), 0, 10, colors = c("r", "g", "b"),
         linestyles = c("solid", "dashed", "dotted"))
if (interactive()) pyshow()

mpastell/Rpyplot documentation built on May 23, 2019, 6:27 a.m.