接口的使用
io.github.burukeyou.dataframe.iframe.IFrame

使用IFrame的程序包

程序包	说明
io.github.burukeyou.dataframe.iframe

io.github.burukeyou.dataframe.iframe中IFrame的使用

io.github.burukeyou.dataframe.iframe中IFrame的子接口

修饰符和类型	接口	说明
interface	JDFrame<T>	JDFrame The operations before and after are discontinuous, and all operations take effect in real time.
interface	SDFrame<T>	Stream DataFrame The operations before and after are continuous, consistent with the stream flow, and some operations terminate the execution of the operation.
interface	WindowJDFrame<T>
interface	WindowSDFrame<T>

实现IFrame的io.github.burukeyou.dataframe.iframe中的类

修饰符和类型	类	说明
class	AbstractCommonFrame<T>
class	AbstractDataFrameImpl<T>
class	AbstractWindowDataFrame<T>	Window DataFrame implement
class	JDFrameImpl<T>
class	SDFrameImpl<T>
class	WindowJDFrameImpl<T>
class	WindowSDFrameImpl<T>

返回IFrame的io.github.burukeyou.dataframe.iframe中的方法

修饰符和类型	方法	说明
IFrame<FI2<T,Integer>>	IFrame.addRankCol(Sorter<T> sorter)	Add ranking columns by comparator Ranking logic, the same value means the Ranking is the same.
IFrame<T>	IFrame.addRankCol(Sorter<T> sorter, SetFunction<T,Integer> set)	Add ranking column to a certain column by Comparator
IFrame<FI2<T,Integer>>	IFrame.addRowNumberCol()	add sort number to the FI2.c2 field Default sequence number from 1 to frame.length
IFrame<T>	IFrame.addRowNumberCol(SetFunction<T,Integer> set)	Add a numbered column to a specific column
IFrame<FI2<T,Integer>>	IFrame.addRowNumberCol(Sorter<T> sorter)	Sort by sorter first, then add ordinal columns
IFrame<T>	IFrame.addRowNumberCol(Sorter<T> sorter, SetFunction<T,Integer> set)	Add a numbered column to a specific column
IFrame<T>	IFrame.append(T t)	add element to Frame
IFrame<T>	IFrame.cut(Integer startIndex, Integer endIndex)	cut elements within the scope
IFrame<T>	IFrame.cutFirst(int n)	Cut the top n element
IFrame<T>	IFrame.cutFirstRank(Sorter<T> sorter, int n)	Cut the top N rankings data The same value is considered to have the same ranking
IFrame<T>	IFrame.cutLast(int n)	Cut the last n element
IFrame<T>	IFrame.cutPage(int page, int pageSize)	cut paginated data
IFrame<T>	IFrame.defaultScale(int scale)	Set default decimal places
IFrame<T>	IFrame.defaultScale(int scale, RoundingMode roundingMode)	Set default decimal places
IFrame<T>	IFrame.distinct()	distinct by T value
<R extends Comparable<R>> IFrame<T>	IFrame.distinct(Comparator<T> comparator)	distinct by comparator
<R extends Comparable<R>> IFrame<T>	IFrame.distinct(java.util.function.Function<T,R> function)	distinct by field value
IFrame<T>	IFrame.forEachDo(java.util.function.Consumer<? super T> action)	Performs the given action for each element of the Iterable until all elements have been processed or the action throws an exception.
<R> IFrame<R>	IFrame.from(java.util.stream.Stream<R> data)	Convert to other IFrame
<K> IFrame<FI2<K,List<T>>>	IFrame.group(java.util.function.Function<T,K> key)	Group list
<K,R extends Number> IFrame<FI2<K,BigDecimal>>	IFrame.groupByAvg(java.util.function.Function<T,K> key, NumberFunction<T,R> value)	Group average
<K,J,R extends Number> IFrame<FI3<K,J,BigDecimal>>	IFrame.groupByAvg(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, NumberFunction<T,R> value)	Group average
<K,J,H,R extends Number> IFrame<FI4<K,J,H,BigDecimal>>	IFrame.groupByAvg(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,H> key3, NumberFunction<T,R> value)	Group average
<K> IFrame<FI2<K,Long>>	IFrame.groupByCount(java.util.function.Function<T,K> key)	Group count
<K,J> IFrame<FI3<K,J,Long>>	IFrame.groupByCount(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2)	Group count
<K,J,H> IFrame<FI4<K,J,H,Long>>	IFrame.groupByCount(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,H> key3)	Group count
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,T>>	IFrame.groupByMax(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group max
<K,V extends Comparable<? super V>> IFrame<FI2<K,T>>	IFrame.groupByMax(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group max
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,MaxMin<T>>>	IFrame.groupByMaxMin(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group max and min element
<K,V extends Comparable<? super V>> IFrame<FI2<K,MaxMin<T>>>	IFrame.groupByMaxMin(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group max and min element
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,MaxMin<V>>>	IFrame.groupByMaxMinValue(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group max and min value
<K,V extends Comparable<? super V>> IFrame<FI2<K,MaxMin<V>>>	IFrame.groupByMaxMinValue(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group max and min value
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,V>>	IFrame.groupByMaxValue(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group max value
<K,V extends Comparable<? super V>> IFrame<FI2<K,V>>	IFrame.groupByMaxValue(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group max value
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,T>>	IFrame.groupByMin(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group min
<K,V extends Comparable<? super V>> IFrame<FI2<K,T>>	IFrame.groupByMin(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group min
<K,J,V extends Comparable<? super V>> IFrame<FI3<K,J,V>>	IFrame.groupByMinValue(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,V> value)	Group min value
<K,V extends Comparable<? super V>> IFrame<FI2<K,V>>	IFrame.groupByMinValue(java.util.function.Function<T,K> key, java.util.function.Function<T,V> value)	Group min value
<K,R extends Number> IFrame<FI2<K,BigDecimal>>	IFrame.groupBySum(java.util.function.Function<T,K> key, NumberFunction<T,R> value)	Group summation
<K,J,R extends Number> IFrame<FI3<K,J,BigDecimal>>	IFrame.groupBySum(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, NumberFunction<T,R> value)	Group summation
<K,J,H,R extends Number> IFrame<FI4<K,J,H,BigDecimal>>	IFrame.groupBySum(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, java.util.function.Function<T,H> key3, NumberFunction<T,R> value)	Group summation
<K,R extends Number> IFrame<FI3<K,BigDecimal,Long>>	IFrame.groupBySumCount(java.util.function.Function<T,K> key, NumberFunction<T,R> value)	Group sum and count together
<K,J,R extends Number> IFrame<FI4<K,J,BigDecimal,Long>>	IFrame.groupBySumCount(java.util.function.Function<T,K> key, java.util.function.Function<T,J> key2, NumberFunction<T,R> value)	Group sum and count together
<R,K> IFrame<R>	IFrame.join(IFrame<K> other, JoinOn<T,K> on)	inner join Frame such as join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
<R,K> IFrame<R>	IFrame.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	inner join Frame
<R,K> IFrame<R>	IFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on)	left join Frame such as leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> IFrame<R>	IFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
<R> IFrame<R>	IFrame.map(java.util.function.Function<T,R> map)	convert to the new Frame
<R extends Number> IFrame<T>	IFrame.mapPercent(java.util.function.Function<T,R> get, SetFunction<T,BigDecimal> set)	Percentage convert such as mapPercent(Function, SetFunction, int), but default scale is 2
<R extends Number> IFrame<T>	IFrame.mapPercent(java.util.function.Function<T,R> get, SetFunction<T,BigDecimal> set, int scale)	Percentage convert you can convert the value of a certain field to a percentage, Then assign a value to a certain column through SetFunction
IFrame<List<T>>	IFrame.partition(int n)	partition cut the matrix into multiple small matrices, with each matrix size n
<C> IFrame<T>	IFrame.replenish(java.util.function.Function<T,C> collectDim, List<C> allDim, java.util.function.Function<C,T> getEmptyObject)	Summarize all collectDim values, calculate the difference between them, and then add the missing difference to the Frame through getEmptyObject
<G,C> IFrame<T>	IFrame.replenish(java.util.function.Function<T,G> groupDim, java.util.function.Function<T,C> collectDim, ReplenishFunction<G,C,T> getEmptyObject)	such as replenish(Function, Function, List, ReplenishFunction), but can not Specify allDim， will auto generate allDim, The default allDim is the value of all collectDim fields in the set
<G,C> IFrame<T>	IFrame.replenish(java.util.function.Function<T,G> groupDim, java.util.function.Function<T,C> collectDim, List<C> allDim, ReplenishFunction<G,C,T> getEmptyObject)	Calculate the difference in groups and then add the difference to that group according to the groupDim dimension, and then summarize all collectDim fields within each group After summarizing, calculate the difference sets with allAbscissa, which are the entries that need to be supplemented.
<R,K> IFrame<R>	IFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on)	right join Frame such as rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> IFrame<R>	IFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
IFrame<T>	IFrame.sortAsc(Comparator<T> comparator)	Ascending order
<R extends Comparable<R>> IFrame<T>	IFrame.sortAsc(java.util.function.Function<T,R> function)	Ascending order
IFrame<T>	IFrame.sortDesc(Comparator<T> comparator)	Descending order
<R extends Comparable<? super R>> IFrame<T>	IFrame.sortDesc(java.util.function.Function<T,R> function)	Descending order by field
<R extends Number> IFrame<FI2<K,BigDecimal>>	GroupFrame.sum(NumberFunction<T,R> value)
<R extends Number> IFrame<FI2<K,BigDecimal>>	GroupFrameImpl.sum(NumberFunction<T,R> value)
IFrame<T>	IFrame.union(IFrame<T> other)	add other Frame to this
IFrame<T>	IFrame.where(java.util.function.Predicate<? super T> predicate)	filter by predicate
<R extends Comparable<R>> IFrame<T>	IFrame.whereBetween(java.util.function.Function<T,R> function, R start, R end)	Screening within the interval,front closed and back closed.
<R extends Comparable<R>> IFrame<T>	IFrame.whereBetweenL(java.util.function.Function<T,R> function, R start, R end)	Screening within the interval , front close and back open [start,end)
<R extends Comparable<R>> IFrame<T>	IFrame.whereBetweenN(java.util.function.Function<T,R> function, R start, R end)	Screening within the interval , front open and back open (start,end)
<R extends Comparable<R>> IFrame<T>	IFrame.whereBetweenR(java.util.function.Function<T,R> function, R start, R end)	Screening within the interval , front open and back close (start,end]
<R> IFrame<T>	IFrame.whereEq(java.util.function.Function<T,R> function, R value)	Filter equals
<R extends Comparable<R>> IFrame<T>	IFrame.whereGe(java.util.function.Function<T,R> function, R value)	Filter Greater than or equal to
<R extends Comparable<R>> IFrame<T>	IFrame.whereGt(java.util.function.Function<T,R> function, R value)	Filter Greater than value
<R> IFrame<T>	IFrame.whereIn(java.util.function.Function<T,R> function, List<R> list)	The query value is within the specified range
<R extends Comparable<R>> IFrame<T>	IFrame.whereLe(java.util.function.Function<T,R> function, R value)	Filter less than or equal to
<R> IFrame<T>	IFrame.whereLike(java.util.function.Function<T,R> function, R value)	Fuzzy query contains specified values
<R> IFrame<T>	IFrame.whereLikeLeft(java.util.function.Function<T,R> function, R value)	prefix fuzzy query contains specified values
<R> IFrame<T>	IFrame.whereLikeRight(java.util.function.Function<T,R> function, R value)	suffix fuzzy query contains specified values
<R extends Comparable<R>> IFrame<T>	IFrame.whereLt(java.util.function.Function<T,R> function, R value)	Filter LESS than value
<R extends Comparable<R>> IFrame<T>	IFrame.whereNotBetween(java.util.function.Function<T,R> function, R start, R end)	Out of range screening, (front closed and back closed) [start,end]
<R extends Comparable<R>> IFrame<T>	IFrame.whereNotBetweenN(java.util.function.Function<T,R> function, R start, R end)	Out of range screening, (front open and back open) (start,end)
<R> IFrame<T>	IFrame.whereNotEq(java.util.function.Function<T,R> function, R value)	Filter not equals
<R> IFrame<T>	IFrame.whereNotIn(java.util.function.Function<T,R> function, List<R> list)	The query value is outside the specified range
<R> IFrame<T>	IFrame.whereNotLike(java.util.function.Function<T,R> function, R value)	Fuzzy query not contains specified values
<R> IFrame<T>	IFrame.whereNotNull(java.util.function.Function<T,R> function)	Filter field values that are not null,If it is string compatible, null and '' situations
IFrame<T>	IFrame.whereNotTrue(java.util.function.Predicate<T> predicate)	filter not true by predicate
<R> IFrame<T>	IFrame.whereNull(java.util.function.Function<T,R> function)	Filter field values that are null, If it is string compatible, null and '' situations
IFrame<T>	IFrame.whereTrue(java.util.function.Predicate<T> predicate)	filter true by predicate

参数类型为IFrame的io.github.burukeyou.dataframe.iframe中的方法

修饰符和类型	方法	说明
<R,K> IFrame<R>	IFrame.join(IFrame<K> other, JoinOn<T,K> on)	inner join Frame such as join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
<R,K> IFrame<R>	IFrame.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	inner join Frame
<R,K> JDFrame<R>	JDFrame.join(IFrame<K> other, JoinOn<T,K> on)	inner join Frame such as join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
<R,K> JDFrame<R>	JDFrame.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	inner join Frame
<R,K> JDFrameImpl<R>	JDFrameImpl.join(IFrame<K> other, JoinOn<T,K> on)
<R,K> JDFrameImpl<R>	JDFrameImpl.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
<R,K> SDFrame<R>	SDFrame.join(IFrame<K> other, JoinOn<T,K> on)	inner join Frame such as join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
<R,K> SDFrame<R>	SDFrame.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	inner join Frame
<R,K> SDFrameImpl<R>	SDFrameImpl.join(IFrame<K> other, JoinOn<T,K> on)
<R,K> SDFrameImpl<R>	SDFrameImpl.join(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
protected <R,K> List<R>	AbstractDataFrameImpl.joinList(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
<R,K> IFrame<R>	IFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on)	left join Frame such as leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> IFrame<R>	IFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
<R,K> JDFrame<R>	JDFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on)	left join Frame such as leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> JDFrame<R>	JDFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
<R,K> JDFrameImpl<R>	JDFrameImpl.leftJoin(IFrame<K> other, JoinOn<T,K> on)
<R,K> JDFrameImpl<R>	JDFrameImpl.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
<R,K> SDFrame<R>	SDFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on)	left join Frame such as leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> SDFrame<R>	SDFrame.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
<R,K> SDFrameImpl<R>	SDFrameImpl.leftJoin(IFrame<K> other, JoinOn<T,K> on)
<R,K> SDFrameImpl<R>	SDFrameImpl.leftJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
protected <R,K> List<R>	AbstractDataFrameImpl.leftJoinList(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
<R,K> IFrame<R>	IFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on)	right join Frame such as rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> IFrame<R>	IFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
<R,K> JDFrame<R>	JDFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on)	right join Frame such as rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> JDFrame<R>	JDFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
<R,K> JDFrameImpl<R>	JDFrameImpl.rightJoin(IFrame<K> other, JoinOn<T,K> on)
<R,K> JDFrameImpl<R>	JDFrameImpl.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
<R,K> SDFrame<R>	SDFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on)	right join Frame such as rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
<R,K> SDFrame<R>	SDFrame.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)	right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
<R,K> SDFrameImpl<R>	SDFrameImpl.rightJoin(IFrame<K> other, JoinOn<T,K> on)
<R,K> SDFrameImpl<R>	SDFrameImpl.rightJoin(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
protected <R,K> List<R>	AbstractDataFrameImpl.rightJoinList(IFrame<K> other, JoinOn<T,K> on, Join<T,K,R> join)
IFrame<T>	IFrame.union(IFrame<T> other)	add other Frame to this
JDFrame<T>	JDFrame.union(IFrame<T> other)	add other Frame to this
JDFrameImpl<T>	JDFrameImpl.union(IFrame<T> other)
SDFrame<T>	SDFrame.union(IFrame<T> other)	add other Frame to this
SDFrameImpl<T>	SDFrameImpl.union(IFrame<T> other)

参数类型为IFrame的io.github.burukeyou.dataframe.iframe中的构造器

构造器	说明
GroupFrameImpl(IFrame<FI2<K,List<T>>> iFrame)