# Configuration in Julia

How to set the configuration options of figures using PlotlyJS.jl.

## Configuration Options

The plot() method that you use to display your figures also accepts a config parameter.

You can set the configuration options for your figure by passing a dictionary to this parameter which contains the options you want to set.

If you don't set an option's value, it will be automatically be set to the default value for that option.

For the complete list of configuration options and their defaults see: https://github.com/plotly/plotly.js/blob/master/src/plotapi/plotconfig.js

### Enabling Scroll Zoom

This option allows users to zoom in and out of figures using the scroll wheel on their mouse and/or a two-finger scroll.

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(scrollZoom=true)
)

### Turning Off Responsiveness

By default, figures you create with the plotly.py package are responsive. Responsive figures automatically change their height and width when the size of the window they are displayed in changes. This is true for figures which are displayed in web browsers on desktops and mobile, Jupyter Notebooks, and other rendering environments.

If you would like to disable this default behavior and force your figures to always have the same height and width regardless of the window size, set the value of the responsive key to False in your figure's configuration dictionary.

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(responsive=false)
)

### Making A Static Chart

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(staticPlot=true)
)

### Forcing The Modebar to Always Be Visible

When users hover over a figure generated with plotly.py, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure.

By default, the modebar is only visible while the user is hovering over the chart. If you would like the modebar to always be visible regardless of whether or not the user is currently hovering over the figure, set the displayModeBar attribute in the configuration of your figure to true.

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(displayModeBar=true)
)

### Preventing the Modebar from Appearing

When users hover over a figure generated with plotly.py, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure.

By default, the modebar is only visible while the user is hovering over the chart. If you would like the modebar to never be visible, then set the displayModeBar attribute in the config of your figure to false.

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(displayModeBar=false)
)

The camera icon on the modebar causes a static version of the figure to be downloaded via the user's browser. The default behaviour is to download a PNG of size 700 by 450 pixels.

This behavior can be controlled via the toImageButtonOptions configuration key.

using PlotlyJS

config = PlotConfig(
toImageButtonOptions=attr(
format="svg", # one of png, svg, jpeg, webp
filename="custom_image",
height=500,
width=700,
scale=1 # Multiply title/legend/axis/canvas sizes by this factor
).fields
)

trace = bar(x=[1, 2, 3], y=[1, 3, 1])

plot(trace, config=config)

Figures can be set to download at the currently-rendered size by setting height and width to nothing:

using PlotlyJS

config = PlotConfig(toImageButtonOptions=attr(height=nothing, width=nothing).fields)

trace = bar(x=[1, 2, 3], y=[1, 3, 1])

plot(trace, config=config)

### Removing Modebar Buttons

To delete buttons from the modebar, pass an array of strings containing the names of the buttons you want to remove to the modeBarButtonsToRemove attribute in the figure's configuration dictionary. Note that different chart types have different default modebars. The following is a list of all the modebar buttons and the chart types they are associated with:

• High-level: zoom, pan, select, zoomIn, zoomOut, autoScale, resetScale

• 2D: zoom2d, pan2d, select2d, lasso2d, zoomIn2d, zoomOut2d, autoScale2d, resetScale2d

• 2D Shape Drawing: drawline, drawopenpath, drawclosedpath, drawcircle, drawrect, eraseshape

• 3D: zoom3d, pan3d, orbitRotation, tableRotation, handleDrag3d, resetCameraDefault3d, resetCameraLastSave3d, hoverClosest3d

• Cartesian: hoverClosestCartesian, hoverCompareCartesian

• Geo: zoomInGeo, zoomOutGeo, resetGeo, hoverClosestGeo

• Other: hoverClosestGl2d, hoverClosestPie, toggleHover, resetViews, toImage, sendDataToCloud, toggleSpikelines, resetViewMapbox

using PlotlyJS

plot(
scatter(
mode="markers",
x=[1, 2, 3],
y=[1, 3, 1]
),
config=PlotConfig(modeBarButtonsToRemove=["zoom", "pan"])
)

### Add optional shape-drawing buttons to modebar

Some modebar buttons of Cartesian plots are optional and have to be added explicitly, using the modeBarButtonsToAdd config attribute.

using PlotlyJS, CSV, DataFrames
df = dataset(DataFrame, "iris")
trace = scatter(df, x=:petal_width, y=:sepal_length, group=:species, mode="markers")
layout = Layout(
dragmode="drawopenpath",
newshape_line_color="cyan",
title_text="Draw a path to separate versicolor and virginica"
)
"drawline",
"drawopenpath",
"drawclosedpath",
"drawcircle",
"drawrect",
"eraseshape"
])

plot(trace, layout, config=config)

The layout.modebar.add attribute can be used instead of the approach used above:

using PlotlyJS, CSV, DataFrames
df = dataset(DataFrame, "iris")
trace = scatter(df, x=:petal_width, y=:sepal_length, group=:species, mode="markers")
layout = Layout(
dragmode="drawopenpath",
newshape_line_color="cyan",
title_text="Draw a path to separate versicolor and virginica",
"drawopenpath",
"drawclosedpath",
"drawcircle",
"drawrect",
"eraseshape"
]
)

plot(trace, layout)

### Double-Click Delay

Sets the maximum delay between two consecutive clicks to be interpreted as a double-click in milliseconds. This is the time interval between first mousedown and second mouseup. The default timing is 300 ms (less than half a second). This setting propagates to all on-subplot double clicks (except for geo and mapbox).

using PlotlyJS

config = PlotConfig(doubleClickDelay=1000)

trace = bar(
y = [3, 5, 3, 2],
x = ["2019-09-02", "2019-10-10", "2019-11-12", "2019-12-22"],
texttemplate = "%{label}",
textposition = "inside"
)

layout = Layout(xaxis_type= "date")

plot(trace, layout)

#### Reference

See config options at https://github.com/plotly/plotly.js/blob/master/src/plotapi/plotconfig.js#L6