[−][src]Struct vega_lite_4::MarkPropDefStringNullTypeForShape
Shape of the mark.
-
For
point
marks the supported values include: - plotting shapes:"circle"
,"square"
,"cross"
,"diamond"
,"triangle-up"
,"triangle-down"
,"triangle-right"
, or"triangle-left"
. - the line symbol"stroke"
- centered directional shapes"arrow"
,"wedge"
, or"triangle"
- a custom SVG path string (For correct sizing, custom shape paths should be defined within a square bounding box with coordinates ranging from -1 to 1 along both the x and y dimensions.) -
For
geoshape
marks it should be a field definition of the geojson data
Default value: If undefined, the default shape depends on mark
config's shape
property. ("circle"
if unset.)
A FieldDef with Condition
Fields
aggregate: Option<Aggregate>
Aggregation function for the field (e.g., "mean"
, "sum"
, "median"
, "min"
,
"max"
, "count"
).
Default value: undefined
(None)
See also: aggregate
documentation.
band: Option<f64>
For rect-based marks (rect
, bar
, and image
), mark size relative to bandwidth of
band scales, bins or time units.
If set to 1
, the mark size is set to the bandwidth, the bin interval, or the time unit
interval. If set to 0.5
, the mark size is half of the bandwidth or the time unit
interval.
For other marks, relative position on a band of a stacked, binned, time unit or band
scale. If set to 0
, the marks will be positioned at the beginning of the band. If set
to 0.5
, the marks will be positioned in the middle of the band.
bin: Option<AngleBin>
A flag for binning a quantitative
field, an object defining binning
parameters, or indicating that
the data for x
or y
channel are binned before they are imported into Vega-Lite
("binned"
).
-
If
true
, default binning parameters will be applied. -
If
"binned"
, this indicates that the data for thex
(ory
) channel are already binned. You can map the bin-start field tox
(ory
) and the bin-end field tox2
(ory2
). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis'stickMinStep
property.
Default value: false
See also: bin
documentation.
condition: Option<ShapeCondition>
One or more value definition(s) with a selection or a test predicate.
Note: A field definition's condition
property can only contain conditional value
definitions since Vega-Lite
only allows at most one encoded field per encoding channel.
A field definition or one or more value definition(s) with a selection predicate.
field: Option<Field>
Required. A string defining the name of the field from which to pull a data value or
an object defining iterated values from the
repeat
operator.
See also: field
documentation.
Notes: 1) Dots (.
) and brackets ([
and ]
) can be used to access nested objects
(e.g., "field": "foo.bar"
and "field": "foo['bar']"
). If field names contain dots or
brackets but are not nested, you can use \\
to escape dots and brackets (e.g.,
"a\\.b"
and "a\\[0\\]"
). See more details about escaping in the field
documentation. 2) field
is not
required if aggregate
is count
.
legend: RemovableValue<Legend>
An object defining properties of the legend. If null
, the legend for the encoding
channel will be removed.
Default value: If undefined, default legend properties are applied.
See also: legend
documentation.
scale: RemovableValue<Scale>
An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels.
If null
, the scale will be disabled and the data value will be directly
encoded.
Default value: If undefined, default scale properties are applied.
See also: scale
documentation.
sort: RemovableValue<SortUnion>
Sort order for the encoded field.
For continuous fields (quantitative or temporal), sort
can be either "ascending"
or
"descending"
.
For discrete fields, sort
can be one of the following: - "ascending"
or
"descending"
-- for sorting by the values' natural order in JavaScript. - A string
indicating an encoding channel name to sort
by (e.g., "x"
or
"y"
) with an optional minus prefix for descending sort (e.g., "-x"
to sort by
x-field, descending). This channel string is short-form of a sort-by-encoding
definition. For
example, "sort": "-x"
is equivalent to "sort": {"encoding": "x", "order": "descending"}
. - A sort field
definition for sorting by
another field. - An array specifying the field values in preferred
order. In this case, the
sort order will obey the values in the array, followed by any unspecified values in their
original order. For discrete time field, values in the sort array can be date-time
definition objects. In addition, for time units "month"
and "day"
,
the values can be the month or day names (case insensitive) or their 3-letter initials
(e.g., "Mon"
, "Tue"
). - null
indicating no sort.
Default value: "ascending"
Note: null
and sorting by another channel is not supported for row
and column
.
See also: sort
documentation.
time_unit: Option<TimeUnitUnion>
Time unit (e.g., year
, yearmonth
, month
, hours
) for a temporal field. or a
temporal field that gets casted as
ordinal.
Default value: undefined
(None)
See also: timeUnit
documentation.
title: RemovableValue<LegendText>
A title for the field. If null
, the title will be removed.
Default value: derived from the field's name and transformation function
(aggregate
, bin
and timeUnit
). If the field has an aggregate function, the function
is displayed as part of the title (e.g., "Sum of Profit"
). If the field is binned or
has a time unit applied, the applied function is shown in parentheses (e.g., "Profit (binned)"
, "Transaction Date (year-month)"
). Otherwise, the title is simply the field
name.
Notes:
-
You can customize the default field title format by providing the
fieldTitle
property in the config orfieldTitle
function via thecompile
function's options. -
If both field definition's
title
and axis, header, or legendtitle
are defined, axis/header/legend title will be used.
mark_prop_def_string_null_type_for_shape_type: Option<Type>
The type of measurement ("quantitative"
, "temporal"
, "ordinal"
, or "nominal"
) for
the encoded field or constant value (datum
). It can also be a "geojson"
type for
encoding 'geoshape'.
Vega-Lite automatically infers data types in many cases as discussed below. However, type
is required for a field if: (1) the field is not nominal and the field encoding has no
specified aggregate
(except argmin
and argmax
), bin
, scale type, custom sort
order, nor timeUnit
or (2) if you wish to use an ordinal scale for a field with bin
or timeUnit
.
Default value:
-
For a data
field
,"nominal"
is the default data type unless the field encoding hasaggregate
,channel
,bin
, scale type,sort
, ortimeUnit
that satisfies the following criteria: -"quantitative"
is the default type if (1) the encoded field containsbin
oraggregate
except"argmin"
and"argmax"
, (2) the encoding channel islatitude
orlongitude
channel or (3) if the specified scale type is a quantitative scale. -"temporal"
is the default type if (1) the encoded field containstimeUnit
or (2) the specified scale type is a time or utc scale -ordinal""
is the default type if (1) the encoded field contains a customsort
order, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel isorder
. -
For a constant value in data domain (
datum
): -"quantitative"
if the datum is a number -"nominal"
if the datum is a string -"temporal"
if the datum is a date time object
Note: - Data type
describes the semantics of the data rather than the primitive
data types (number, string, etc.). The same primitive data type can have different types
of measurement. For example, numeric data can represent quantitative, ordinal, or nominal
data. - Data values for a temporal field can be either a date-time string (e.g.,
"2015-03-07 12:32:17"
, "17:01"
, "2015-03-16"
. "2015"
) or a timestamp number
(e.g., 1552199579097
). - When using with
bin
, the type
property can be
either "quantitative"
(for using a linear bin scale) or "ordinal"
(for using an
ordinal bin scale). - When
using with timeUnit
, the type
property can be either "temporal"
(default, for using a temporal scale) or "ordinal"
(for using an ordinal scale).
- When using with
aggregate
, thetype
property refers to the post-aggregation data type. For example, we can calculate countdistinct
of a categorical field"cat"
using{"aggregate": "distinct", "field": "cat"}
. The"type"
of the aggregate output is"quantitative"
. - Secondary channels (e.g.,x2
,y2
,xError
,yError
) do not havetype
as they must have exactly the same type as their primary channels (e.g.,x
,y
).
See also: type
documentation.
datum: Option<PrimitiveValue>
A constant value in data domain.
value: Option<Color>
A constant value in visual domain (e.g., "red"
/ "#0099ff"
/ gradient
definition for color, values
between 0
to 1
for opacity).
Trait Implementations
impl Clone for MarkPropDefStringNullTypeForShape
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pub fn clone(&self) -> MarkPropDefStringNullTypeForShape
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pub fn clone_from(&mut self, source: &Self)
1.0.0[src]
impl Debug for MarkPropDefStringNullTypeForShape
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impl Default for MarkPropDefStringNullTypeForShape
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pub fn default() -> MarkPropDefStringNullTypeForShape
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impl<'de> Deserialize<'de> for MarkPropDefStringNullTypeForShape
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl Serialize for MarkPropDefStringNullTypeForShape
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Auto Trait Implementations
impl RefUnwindSafe for MarkPropDefStringNullTypeForShape
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impl Send for MarkPropDefStringNullTypeForShape
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impl Sync for MarkPropDefStringNullTypeForShape
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impl Unpin for MarkPropDefStringNullTypeForShape
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impl UnwindSafe for MarkPropDefStringNullTypeForShape
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
[src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
[src]
T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
[src]
impl<T, U> Into<U> for T where
U: From<T>,
[src]
U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,