plotnine.scale_x_discrete
scale_x_discrete(*,
=None,
name=True,
breaks=None,
limits=True,
labels=None,
expand="legend",
guide=np.nan,
na_value=(),
aesthetics=True,
drop=True
na_translate )
Discrete x position
Parameter Attributes
name: str  None = None

The name of the scale. It is used as the label of the axis or the title of the guide. Suitable defaults are chosen depending on the type of scale.
breaks: DiscreteBreaksUser = True

List of major break points. Or a callable that takes a tuple of limits and returns a list of breaks. If
True
, automatically calculate the breaks. limits: DiscreteLimitsUser = None

Limits of the scale. These are the categories (unique values) of the variables. If is only a subset of the values, those that are left out will be treated as missing data and represented with a
na_value
. labels: ScaleLabelsUser = True

Labels at the
breaks
. Alternatively, a callable that takes an array_like of break points as input and returns a list of strings. expand: (
tuple[float, float]
 tuple[float, float, float, float]
 None
) = None
Multiplicative and additive expansion constants that determine how the scale is expanded. If specified must be of length 2 or 4. Specifically the values are in this order:
(mul, add) (mul_low, add_low, mul_high, add_high)
For example,
(0, 0)
 Do not expand.(0, 1)
 Expand lower and upper limits by 1 unit.(1, 0)
 Expand lower and upper limits by 100%.(0, 0, 0, 0)
 Do not expand, as(0, 0)
.(0, 0, 0, 1)
 Expand upper limit by 1 unit.(0, 1, 0.1, 0)
 Expand lower limit by 1 unit and upper limit by 10%.(0, 0, 0.1, 2)
 Expand upper limit by 10% plus 2 units.
If not specified, suitable defaults are chosen.
guide: Literal["legend"]  None = "legend"
na_value: Any = np.nan

If
na_translate=True
, what aesthetic value should be assigned to the missing values. This parameter does not apply to position scales wherenan
is always placed on the right. aesthetics: Sequence[ScaledAestheticsName] = ()

Aesthetics affected by this scale. These are defined by each scale and the user should probably not change them. Have fun.
drop: bool = True

Whether to drop unused categories from the scale
na_translate: bool = True

If
True
translate missing values and show them. IfFalse
remove missing values.