altair.FieldOrDatumDefWithConditionMarkPropFieldDefnumberArray#
- class altair.FieldOrDatumDefWithConditionMarkPropFieldDefnumberArray(shorthand=Undefined, aggregate=Undefined, bandPosition=Undefined, bin=Undefined, condition=Undefined, field=Undefined, legend=Undefined, scale=Undefined, sort=Undefined, timeUnit=Undefined, title=Undefined, type=Undefined, **kwds)#
FieldOrDatumDefWithConditionMarkPropFieldDefnumberArray schema wrapper.
- Parameters:
- shorthandstr, dict, Sequence[str],
RepeatRef
shorthand for field, aggregate, and type
- aggregatedict,
Aggregate
,ArgmaxDef
,ArgminDef
,NonArgAggregateOp
, Literal[‘average’, ‘count’, ‘distinct’, ‘max’, ‘mean’, ‘median’, ‘min’, ‘missing’, ‘product’, ‘q1’, ‘q3’, ‘ci0’, ‘ci1’, ‘stderr’, ‘stdev’, ‘stdevp’, ‘sum’, ‘valid’, ‘values’, ‘variance’, ‘variancep’, ‘exponential’, ‘exponentialb’] Aggregation function for the field (e.g.,
"mean"
,"sum"
,"median"
,"min"
,"max"
,"count"
).Default value:
undefined
(None)See also: aggregate documentation.
- bandPositionfloat
Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to
0
, and at the middle of the band if set to0.5
.- binbool, dict,
BinParams
, None A flag for binning a
quantitative
field, an object defining binning parameters, or indicating that the data forx
ory
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’s tickMinStep property.
Default value:
false
See also: bin documentation.
- conditiondict,
ConditionalValueDefnumberArrayExprRef
,ConditionalParameterValueDefnumberArrayExprRef
,ConditionalPredicateValueDefnumberArrayExprRef
, Sequence[dict,ConditionalValueDefnumberArrayExprRef
,ConditionalParameterValueDefnumberArrayExprRef
,ConditionalPredicateValueDefnumberArrayExprRef
] One or more value definition(s) with a parameter 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.- fieldstr, dict,
Field
,FieldName
,RepeatRef
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 ifaggregate
iscount
.- legenddict,
Legend
, None 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.
- scaledict,
Scale
, None 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.
- sortdict,
Sort
, Sequence[str], Sequence[bool], Sequence[float],SortArray
,SortOrder
,AllSortString
,SortByChannel
,SortByEncoding
,EncodingSortField
,SortByChannelDesc
, Sequence[dict,DateTime
], Literal[‘-x’, ‘-y’, ‘-color’, ‘-fill’, ‘-stroke’, ‘-strokeWidth’, ‘-size’, ‘-shape’, ‘-fillOpacity’, ‘-strokeOpacity’, ‘-opacity’, ‘-text’, ‘ascending’, ‘descending’, ‘x’, ‘y’, ‘color’, ‘fill’, ‘stroke’, ‘strokeWidth’, ‘size’, ‘shape’, ‘fillOpacity’, ‘strokeOpacity’, ‘opacity’, ‘text’], None 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 forrow
andcolumn
.See also: sort documentation.
- timeUnitdict,
TimeUnit
,MultiTimeUnit
,BinnedTimeUnit
,SingleTimeUnit
,TimeUnitParams
,UtcMultiTimeUnit
,UtcSingleTimeUnit
,LocalMultiTimeUnit
,LocalSingleTimeUnit
, Literal[‘binnedutcyear’, ‘binnedutcyearquarter’, ‘binnedutcyearquartermonth’, ‘binnedutcyearmonth’, ‘binnedutcyearmonthdate’, ‘binnedutcyearmonthdatehours’, ‘binnedutcyearmonthdatehoursminutes’, ‘binnedutcyearmonthdatehoursminutesseconds’, ‘binnedutcyearweek’, ‘binnedutcyearweekday’, ‘binnedutcyearweekdayhours’, ‘binnedutcyearweekdayhoursminutes’, ‘binnedutcyearweekdayhoursminutesseconds’, ‘binnedutcyeardayofyear’, ‘binnedyear’, ‘binnedyearquarter’, ‘binnedyearquartermonth’, ‘binnedyearmonth’, ‘binnedyearmonthdate’, ‘binnedyearmonthdatehours’, ‘binnedyearmonthdatehoursminutes’, ‘binnedyearmonthdatehoursminutesseconds’, ‘binnedyearweek’, ‘binnedyearweekday’, ‘binnedyearweekdayhours’, ‘binnedyearweekdayhoursminutes’, ‘binnedyearweekdayhoursminutesseconds’, ‘binnedyeardayofyear’, ‘utcyear’, ‘utcquarter’, ‘utcmonth’, ‘utcweek’, ‘utcday’, ‘utcdayofyear’, ‘utcdate’, ‘utchours’, ‘utcminutes’, ‘utcseconds’, ‘utcmilliseconds’, ‘year’, ‘quarter’, ‘month’, ‘week’, ‘day’, ‘dayofyear’, ‘date’, ‘hours’, ‘minutes’, ‘seconds’, ‘milliseconds’, ‘utcyearquarter’, ‘utcyearquartermonth’, ‘utcyearmonth’, ‘utcyearmonthdate’, ‘utcyearmonthdatehours’, ‘utcyearmonthdatehoursminutes’, ‘utcyearmonthdatehoursminutesseconds’, ‘utcyearweek’, ‘utcyearweekday’, ‘utcyearweekdayhours’, ‘utcyearweekdayhoursminutes’, ‘utcyearweekdayhoursminutesseconds’, ‘utcyeardayofyear’, ‘utcquartermonth’, ‘utcmonthdate’, ‘utcmonthdatehours’, ‘utcmonthdatehoursminutes’, ‘utcmonthdatehoursminutesseconds’, ‘utcweekday’, ‘utcweekdayhours’, ‘utcweekdayhoursminutes’, ‘utcweekdayhoursminutesseconds’, ‘utcdayhours’, ‘utcdayhoursminutes’, ‘utcdayhoursminutesseconds’, ‘utchoursminutes’, ‘utchoursminutesseconds’, ‘utcminutesseconds’, ‘utcsecondsmilliseconds’, ‘yearquarter’, ‘yearquartermonth’, ‘yearmonth’, ‘yearmonthdate’, ‘yearmonthdatehours’, ‘yearmonthdatehoursminutes’, ‘yearmonthdatehoursminutesseconds’, ‘yearweek’, ‘yearweekday’, ‘yearweekdayhours’, ‘yearweekdayhoursminutes’, ‘yearweekdayhoursminutesseconds’, ‘yeardayofyear’, ‘quartermonth’, ‘monthdate’, ‘monthdatehours’, ‘monthdatehoursminutes’, ‘monthdatehoursminutesseconds’, ‘weekday’, ‘weekdayhours’, ‘weekdayhoursminutes’, ‘weekdayhoursminutesseconds’, ‘dayhours’, ‘dayhoursminutes’, ‘dayhoursminutesseconds’, ‘hoursminutes’, ‘hoursminutesseconds’, ‘minutesseconds’, ‘secondsmilliseconds’] 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.
- titlestr,
Text
, Sequence[str], None 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
andtimeUnit
). 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:
1) You can customize the default field title format by providing the fieldTitle property in the config or fieldTitle function via the compile function’s options.
2) If both field definition’s
title
and axis, header, or legendtitle
are defined, axis/header/legend title will be used.- type
StandardType
, Literal[‘quantitative’, ‘ordinal’, ‘temporal’, ‘nominal’] 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
(exceptargmin
andargmax
),bin
, scale type, customsort
order, nortimeUnit
or (2) if you wish to use an ordinal scale for a field withbin
ortimeUnit
.Default value:
1) 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 custom sort 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, the
type
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.
- shorthandstr, dict, Sequence[str],
- __init__(shorthand=Undefined, aggregate=Undefined, bandPosition=Undefined, bin=Undefined, condition=Undefined, field=Undefined, legend=Undefined, scale=Undefined, sort=Undefined, timeUnit=Undefined, title=Undefined, type=Undefined, **kwds)#
Methods
__init__
([shorthand, aggregate, ...])copy
([deep, ignore])Return a copy of the object.
from_dict
(dct[, validate])Construct class from a dictionary representation.
from_json
(json_string[, validate])Instantiate the object from a valid JSON string.
resolve_references
([schema])Resolve references in the context of this object's schema or root schema.
to_dict
([validate, ignore, context])Return a dictionary representation of the object.
to_json
([validate, indent, sort_keys, ...])Emit the JSON representation for this object as a string.
validate
(instance[, schema])Validate the instance against the class schema in the context of the rootschema.
validate_property
(name, value[, schema])Validate a property against property schema in the context of the rootschema.