nanoplot_options

nanoplot_options(
    data_point_radius=None,
    data_point_stroke_color=None,
    data_point_stroke_width=None,
    data_point_fill_color=None,
    data_line_type=None,
    data_line_stroke_color=None,
    data_line_stroke_width=None,
    data_area_fill_color=None,
    data_bar_stroke_color=None,
    data_bar_stroke_width=None,
    data_bar_fill_color=None,
    data_bar_negative_stroke_color=None,
    data_bar_negative_stroke_width=None,
    data_bar_negative_fill_color=None,
    reference_line_color=None,
    reference_area_fill_color=None,
    vertical_guide_stroke_color=None,
    vertical_guide_stroke_width=None,
    show_data_points=None,
    show_data_line=None,
    show_data_area=None,
    show_reference_line=None,
    show_reference_area=None,
    show_vertical_guides=None,
    show_y_axis_guide=None,
    interactive_data_values=None,
    y_val_fmt_fn=None,
    y_axis_fmt_fn=None,
    y_ref_line_fmt_fn=None,
    currency=None,
)

Helper for setting the options for a nanoplot.

When using cols_nanoplot(), the defaults for the generated nanoplots can be modified with nanoplot_options() within the options= argument.

Parameters

data_point_radius : int | list[int] | None = None: The data_point_radius= option lets you set the radius for each of the data points. By default this is set to 10. Individual radius values can be set by using a list of numeric values; however, the list provided must match the number of data points.
data_point_stroke_color : str | list[str] | None = None: The default stroke color of the data points is "#FFFFFF" ("white"). This works well when there is a visible data line combined with data points with a darker fill color. The stroke color can be modified with data_point_stroke_color= for all data points by supplying a single color value. With a list of colors, each data point’s stroke color can be changed (ensure that the list length matches the number of data points).
data_point_stroke_width : int | list[int] | None = None: The width of the outside stroke for the data points can be modified with the data_point_stroke_width= option. By default, a value of 4 (as in ‘4px’) is used.
data_point_fill_color : str | list[str] | None = None: By default, all data points have a fill color of "#FF0000" ("red"). This can be changed for all data points by providing a different color to data_point_fill_color=. And, a list of different colors can be supplied so long as the length is equal to the number of data points; the fill color values will be applied in order of left to right.
data_line_type : str | None = None: This can accept either "curved" or "straight". Curved lines are recommended when the nanoplot has less than 30 points and data points are evenly spaced. In most other cases, straight lines might present better.
data_line_stroke_color : str | None = None: The color of the data line can be modified from its default "#4682B4" ("steelblue") color by supplying a color to the data_line_stroke_color= option.
data_line_stroke_width : int | None = None: The width of the connecting data line can be modified with data_line_stroke_width=. By default, a value of 4 (as in ‘4px’) is used.
data_area_fill_color : str | None = None: The fill color for the area that bounds the data points in line plot. The default is "#FF0000" ("red") but can be changed by providing a color value to data_area_fill_color=.
data_bar_stroke_color : str | list[str] | None = None: The color of the stroke used for the data bars can be modified from its default "#3290CC" color by supplying a color to data_bar_stroke_color=.
data_bar_stroke_width : int | list[int] | None = None: The width of the stroke used for the data bars can be modified with the data_bar_stroke_width= option. By default, a value of 4 (as in ‘4px’) is used.
data_bar_fill_color : str | list[str] | None = None: By default, all data bars have a fill color of "#3FB5FF". This can be changed for all data bars by providing a different color to data_bar_fill_color=. And, a list of different colors can be supplied so long as the length is equal to the number of data bars; the fill color values will be applied in order of left to right.
data_bar_negative_stroke_color : str | None = None: The color of the stroke used for the data bars that have negative values. The default color is "#CC3243" but this can be changed by supplying a color value to the data_bar_negative_stroke_color= option.
data_bar_negative_stroke_width : int | None = None: The width of the stroke used for negative value data bars. This has the same default as data_bar_stroke_width= with a value of 4 (as in ‘4px’). This can be changed by giving a numeric value to the data_bar_negative_stroke_width= option.
data_bar_negative_fill_color : str | None = None: By default, all negative data bars have a fill color of "#D75A68". This can however be changed by providing a color value to data_bar_negative_fill_color=.
reference_line_color : str | None = None: The reference line will have a color of "#75A8B0" if it is set to appear. This color can be changed by providing a single color value to reference_line_color=.
reference_area_fill_color : str | None = None: If a reference area has been defined and is visible it has by default a fill color of "#A6E6F2". This can be modified by declaring a color value in the reference_area_fill_color= option.
vertical_guide_stroke_color : str | None = None: Vertical guides appear when hovering in the vicinity of data points. Their default color is "#911EB4" (a strong magenta color) and a fill opacity value of 0.4 is automatically applied to this. However, the base color can be changed with the vertical_guide_stroke_color= option.
vertical_guide_stroke_width : int | None = None: The vertical guide’s stroke width, by default, is relatively large at 12 (this is ‘12px’). This is modifiable by setting a different value with vertical_guide_stroke_width=.
show_data_points : bool | None = None: By default, all data points in a nanoplot are shown but this layer can be hidden by setting show_data_points= to False.
show_data_line : bool | None = None: The data line connects data points together and it is shown by default. This data line layer can be hidden by setting show_data_line= to False.
show_data_area : bool | None = None: The data area layer is adjacent to the data points and the data line. It is shown by default but can be hidden with show_data_area=False.
show_reference_line : bool | None = None: The layer with a horizontal reference line appears underneath that of the data points and the data line. Like vertical guides, hovering over a reference will show its value. The reference line (if available) is shown by default but can be hidden by setting show_reference_line= to False.
show_reference_area : bool | None = None: The reference area appears at the very bottom of the layer stack, if it is available (i.e., defined in cols_nanoplot()). It will be shown in the default case but can be hidden by using show_reference_area=False.
show_vertical_guides : bool | None = None: Vertical guides appear when hovering over data points. This hidden layer is active by default but can be deactivated by using show_vertical_guides=False.
show_y_axis_guide : bool | None = None: The y-axis guide will appear when hovering over the far left side of a nanoplot. This hidden layer is active by default but can be deactivated by using show_y_axis_guide=False.
interactive_data_values : bool | None = None: By default, numeric data values will be shown only when the user interacts with certain regions of a nanoplot. This is because the values may be numerous (i.e., clutter the display when all are visible) and it can be argued that the values themselves are secondary to the presentation. However, for some types of plots (like horizontal bar plots), a persistent display of values alongside the plot marks may be desirable. By setting interactive_data_values=False we can opt for always displaying the data values alongside the plot components.
y_val_fmt_fn : Callable[…, str] | None = None: If providing a function to y_val_fmt_fn=, customized formatting of the y values associated with the data points/bars is possible.
y_axis_fmt_fn : Callable[…, str] | None = None: A function supplied to y_axis_fmt_fn= will result in customized formatting of the y-axis label values.
y_ref_line_fmt_fn : Callable[…, str] | None = None: Providing a function for y_ref_line_fmt_fn= yields customized formatting of the reference line (if present).
currency : str | None = None: If the values are to be displayed as currency values, supply either: (1) a 3-letter currency code (e.g., "USD" for U.S. Dollars, "EUR" for the Euro currency), or (2) a common currency name (e.g., "dollar", "pound", "yen", etc.).

Examples

See fmt_nanoplot().