Sets the maximum size (in px) of the rendered marker points. Effective when the `pointcloud` shows only few points.

Sets the stroke color. It accepts a specific color. If the color is not fully opaque and there are hundreds of thousands of points, it may cause slower zooming and panning.

Specifies what fraction of the marker area is covered with the border.

Sets the source reference on plot.ly for  xy .

Sets the source reference on plot.ly for  indices .

Sets the source reference on plot.ly for  xbounds .

Sets the source reference on plot.ly for  ybounds .

WebGL version of the heatmap trace type.

Parallel coordinates for multidimensional exploratory data analysis. The samples are specified in `dimensions`. The colors are set in `line.color`.

Sets the horizontal domain of this parcoords trace (in plot fraction).

Sets the vertical domain of this parcoords trace (in plot fraction).

If there is a layout grid, use the domain for this row in the grid for this parcoords trace .

If there is a layout grid, use the domain for this column in the grid for this parcoords trace .

Sets the font for the `dimension` labels.

Sets the font for the `dimension` tick values.

Sets the font for the `dimension` range values.

Sets the tick label formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-format/blob/master/README.md#locale_format

Shows the dimension when set to `true` (the default). Hides the dimension for `false`.

The domain range that represents the full, shown axis extent. Defaults to the `values` extent. Must be an array of `[fromValue, toValue]` with finite numbers as elements.

The domain range to which the filter on the dimension is constrained. Must be an array of `[fromValue, toValue]` with `fromValue <= toValue`, or if `multiselect` is not disabled, you may give an array of arrays, where each inner array is `[fromValue, toValue]`.

Do we allow multiple selection ranges or just a single range?

Dimension values. `values[n]` represents the value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). Each value must be a finite number.