Sets the title's vertical alignment with respect to its y position. Type: enumerated, one of ( 'auto' | 'top' | 'middle' | 'bottom' ) 'auto' places the baseline of the title onto the vertical center of the top margin. Sets the y position with respect to `yref` in normalized coordinates from '0' (bottom) to '1' (top).

'paper' refers to the width of the plotting area only. 'container' spans the entire `width` of the plot. Type: enumerated, one of ( 'container' | 'paper' ) 'auto' divides `xref` by three and calculates the `xanchor` value automatically based on the value of `x`. 'left' means that the title starts at x, 'right' means that the title ends at x and 'center' means that the title's center is at x. Sets the title's horizontal alignment with respect to its x position. Type: enumerated, one of ( 'auto' | 'left' | 'center' | 'right' ) Sets the x position with respect to `xref` in normalized coordinates from '0' (left) to '1' (right).

Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. The amount of padding (in px) along the top of the component. The amount of padding (in px) on the right side of the component. The amount of padding (in px) on the left side of the component. The amount of padding (in px) along the bottom of the component. Padding is muted if the respective anchor value is 'middle'/'center'. The same rule applies if `xanchor`/`yanchor` is determined automatically. for left padding to take effect, `xanchor` must be set to 'left'. Each padding value only applies when the corresponding `xanchor`/`yanchor` value is set accordingly.

These include 'Arial', 'Balto', 'Courier New', 'Droid Sans', 'Droid Serif', 'Droid Sans Mono', 'Gravitas One', 'Old Standard TT', 'Open Sans', 'Overpass', 'PT Sans Narrow', 'Raleway', 'Times New Roman'. The Chart Studio Cloud (at or on-premise) generates images on a server, where only a select number of fonts are installed and supported. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The web browser will only be able to apply a font if it is available on the system which it operates. HTML font family - the typeface that will be applied by the web browser. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. Invalid values will be reset to the default 1. Note that when `yref='paper'`, only 1 or 0 are allowed y values. If `automargin=TRUE` and the margins need to be expanded, then y will be set to a default 1 and yanchor will be set to an appropriate default to ensure that minimal margin space is needed. If `yref='container'` then the margins will ensure that the title doesn’t overlap with the plot area, tick labels, and axis titles. If `yref='paper'` then the margin will expand to ensure that the title doesn’t overlap with the edges of the container. Type: named list containing one or more of the keys listed below.ĭetermines whether the title can automatically push the figure margins. It's not very succinct, but here's my example code: library(tidyverse) The only thing I could think of that's relatively scalable is to graph the first month by itself with the legend on and the rest of the months with the legend off, then combine them for one output. Plot_ly(.x, x=~year, y = ~sales, color = ~city,legendgroup = ~city,type = 'bar'Įssentially, what is happening is the legend is getting reproduced for each group_by (in this case for each month). It's a little unintuitive but it looks like it works pretty good. y input to the first facet name, in this case is '1' for January. You need to add the option showlegend and set the.

Plot_ly(.x, x=~year, y = ~sales, color = ~city, *example code: representative of issue in my own data library(tidyverse) *Please no use plotly::ggplotly() suggestions Really appreciate any help you have in advance, thank! I'm not going to add N traces and turn of N-1 of them. Most of the solution on the internet solve this problem by turning the legend off for specific traces but this is not a robust solution for me. Hi, I am having trouble figuring out a way to drop the extra/repeated legend color inputs when I create a facetted plotly plot via group_map.

Plotly r subplot legend