axis {rbokeh} | R Documentation |
Customize x or y axis of a Bokeh figure.
x_axis(fig, label = NULL, position = "below", log = FALSE, draw = TRUE, ticker = NULL, tickformatter = NULL, axis = NULL, grid = NULL) y_axis(fig, label = NULL, position = "left", log = FALSE, draw = TRUE, ticker = NULL, tickformatter = NULL, axis = NULL, grid = NULL)
fig |
Figure to modify. |
label |
A character string indicating the axis label. |
position |
The position of the axis. Either "below" or "above" for an x axis and "left" or "right" for a y axis. Note that multiple x and y axes can be coexist in a figure. |
log |
A logical indicating whether the axis should be on the log scale. |
draw |
A logical indicating whether the axis be drawn. This is useful when you want to disable an axis. |
ticker |
A ticker specificition (see "See Also" below). |
tickformatter |
A tickformatter specificition (see "See Also" below). |
axis |
An axis specificition (see "See Also" below). |
grid |
A grid specificition (see "See Also" below). |
ticker_num
, ticker_fixed
, ticker_interval
, ticker_log
, ticker_date
, ticker_cat
, tickformatter_num
, tickformatter_func
, tickformatter_numeral
, tickformatter_printf
, tickformatter_log
, tickformatter_date
, tickformatter_cat
, axis_spec
, grid_spec
,
## Not run: # func tick formatter and number of ticks figure() %>% ly_points(1:26, letters) %>% x_axis( ticker = ticker_num(desired_num_ticks = 20), tickformatter = tickformatter_func(code = "return tick + 'm';")) # simple log axis figure() %>% ly_points(1:10) %>% x_axis(log = TRUE) # log axis with more detailed specification of parameters figure() %>% ly_points(rexp(100, rate = 1 / 100), rnorm(100)) %>% x_axis(ticker = ticker_log(base = 2)) # interval ticker figure() %>% ly_points(1:10) %>% x_axis(ticker = ticker_interval(0.5)) # fixed ticker figure() %>% ly_points(1:10) %>% x_axis(ticker = ticker_fixed(c(1, 7, 9))) # basic formatter figure() %>% ly_points(c(1:10) * 1000000, 1:10) %>% x_axis(tickformatter = tickformatter_num(use_scientific = FALSE)) # numeral formatter figure() %>% ly_points(1:10) %>% x_axis(tickformatter = tickformatter_numeral(format = "0o")) # numeral formatter figure() %>% ly_points((1:10) ^ 4, 1:10) %>% x_axis(tickformatter = tickformatter_numeral(format = "($0,0)", language = "it")) # numeral formatter figure() %>% ly_points((1:11) ^ 6, 1:11) %>% x_axis(tickformatter = tickformatter_numeral(format = "0.0b")) # printf formatter figure() %>% ly_points(1:10) %>% x_axis(tickformatter = tickformatter_printf(format = "%5.3f mu")) # date formatter figure(data = d, width = 1000) %>% ly_lines(date, co2_df) %>% x_axis(ticker = ticker_date(desired_num_ticks = 20)) # basic formatter works with dates too figure(data = d, width = 1000) %>% ly_lines(date, co2_df, hover = d) %>% x_axis(ticker = ticker_num(desired_num_ticks = 20)) # func formatter (transform to how many years ago) figure(data = d, width = 1000) %>% ly_lines(date, co2_df) %>% x_axis(tickformatter = tickformatter_func(" var cur = new Date(); var diff = (cur.getTime() - tick) / (1000 * 60 * 60 * 24 * 365); return diff.toFixed(2) + ' years ago'")) # date formatter figure(data = d, width = 1000) %>% ly_lines(date, co2_df) %>% x_axis(tickformatter = tickformatter_date(year = "'%y")) # date formatter figure() %>% ly_points(Sys.time() - c(0:9) * 900, rnorm(10)) %>% x_axis(tickformatter = tickformatter_date(hourmin = "%r %Z")) # axis options figure() %>% ly_points(1:10) %>% x_axis(label = "x axis", axis = axis_spec( axis_label_text_color = "blue", axis_label_standoff = 30, axis_label_text_font_size = "20pt" )) %>% y_axis(label = "y axis", axis = axis_spec( major_label_text_color = "red" )) %>% rbokeh_prerender(keep_aux = TRUE) prepare_figure() # axis options figure() %>% ly_points(1:10) %>% x_axis(axis = axis_spec(bounds = c(3, 8))) # axis options figure() %>% ly_points(1:10) %>% x_axis(axis = axis_spec( major_tick_line_color = "firebrick", major_tick_line_width = 3, minor_tick_line_color = "orange", major_tick_out = 10, minor_tick_in = -3, minor_tick_out = 8 )) %>% y_axis(axis = axis_spec( minor_tick_line_color = NA, major_tick_out = 10, minor_tick_in = -3, minor_tick_out = 8 )) # axis options figure() %>% ly_points(1:10) %>% x_axis(axis = axis_spec(major_label_orientation = 45)) %>% y_axis(axis = axis_spec(major_label_orientation = "vertical")) # grid options figure() %>% ly_points(1:10) %>% x_axis(grid = grid_spec(grid_line_color = NA)) %>% y_axis(grid = grid_spec( band_fill_alpha = 0.1, band_fill_color = "navy" )) # illustrating how "clear" works # you can call x_axis() multiple times # if you use clear = TRUE, it will clear out previous settings # otherwise it will continue to add settings p <- figure() %>% ly_points(1:10) %>% x_axis( ticker = ticker_num(desired_num_ticks = 10), grid = grid_spec(bounds = c(4, 7))) p %>% x_axis(grid = grid_spec(grid_line_color = "purple", level = "overlay")) p %>% x_axis(grid = grid_spec(grid_line_color = "purple", level = "overlay", clear = TRUE)) # multiple axes figure() %>% ly_points(1:10) %>% y_axis(axis = axis_spec(bounds = c(3, 8)), grid = grid_spec(bounds = c(3, 8)), position = "right") ## End(Not run)