索引 (jdframe 0.0.1 API)

A B C D F G H I J L M N O P R S T U W
所有类所有程序包

A

AbstractCommonFrame<T> - io.github.burukeyou.dataframe.iframe中的类
AbstractCommonFrame() - 类的构造器io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
AbstractDataFrameImpl<T> - io.github.burukeyou.dataframe.iframe中的类
AbstractDataFrameImpl() - 类的构造器io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
accept(T, V) - 接口中的方法io.github.burukeyou.dataframe.iframe.function.SetFunction
addRankingSameCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add ranking columns by comparator Ranking logic, the same value means the Ranking is the same.
addRankingSameCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add ranking columns by comparator Ranking logic, the same value means the Ranking is the same.
addRankingSameCol(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addRankingSameCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add ranking columns by comparator Ranking logic, the same value means the Ranking is the same.
addRankingSameCol(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addRankingSameCol(Comparator<T>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add ranking column to a certain column by Comparator
addRankingSameCol(Comparator<T>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add ranking column to a certain column by Comparator
addRankingSameCol(Comparator<T>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addRankingSameCol(Comparator<T>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add ranking column to a certain column by Comparator
addRankingSameCol(Comparator<T>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addRankingSameColAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add ranking columns by field
addRankingSameColAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add ranking columns by field
addRankingSameColAsc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addRankingSameColAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add ranking columns by field
addRankingSameColAsc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addRankingSameColAsc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add ranking column to a certain column by field
addRankingSameColAsc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add ranking column to a certain column by field
addRankingSameColAsc(Function<T, R>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addRankingSameColAsc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add ranking column to a certain column by field
addRankingSameColAsc(Function<T, R>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addRankingSameColDesc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add ranking column to a certain column by field
addRankingSameColDesc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add ranking column to a certain column by field
addRankingSameColDesc(Function<T, R>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addRankingSameColDesc(Function<T, R>, SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add ranking column to a certain column by field
addRankingSameColDesc(Function<T, R>, SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addSortNoCol() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: add sort number to the FI2.c2 field Default sequence number from 1 to frame.length
addSortNoCol() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: ddd ordinal column
addSortNoCol() - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addSortNoCol() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: ddd ordinal column
addSortNoCol() - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addSortNoCol(SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Add a numbered column to a specific column
addSortNoCol(SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Add a numbered column to a specific column
addSortNoCol(SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addSortNoCol(SetFunction<T, Integer>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Add a numbered column to a specific column
addSortNoCol(SetFunction<T, Integer>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addSortNoCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Sort by comparator first, then add ordinal columns
addSortNoCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Sort by comparator first, then add ordinal columns
addSortNoCol(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addSortNoCol(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Sort by comparator first, then add ordinal columns
addSortNoCol(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
addSortNoCol(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Sort by Field value first, then add ordinal columns
addSortNoCol(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Sort by Field value first, then add ordinal columns
addSortNoCol(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
addSortNoCol(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Sort by Field value first, then add ordinal columns
addSortNoCol(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
Agg<Re,F> - io.github.burukeyou.dataframe.iframe.group中的接口
AggImpl - io.github.burukeyou.dataframe.iframe.group中的类
AggImpl() - 类的构造器io.github.burukeyou.dataframe.iframe.group.AggImpl
append(T) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: add element to Frame
append(T) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: add element to Frame
append(T) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
append(T) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: add element to Frame
append(T) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
apply(T) - 接口中的方法io.github.burukeyou.dataframe.iframe.support.NumberFunction
apply(T1, T2) - 接口中的方法io.github.burukeyou.dataframe.iframe.function.ReplenishFunction
applyAsBigDecimal(T) - 接口中的方法io.github.burukeyou.dataframe.iframe.function.BigDecimalFunction
average(List<BigDecimal>, RoundingMode, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 平均值
averagingBigDecimal(BigDecimalFunction<? super T>, int, int) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
averagingBigDecimal(NumberFunction<T, R>, int, int) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
avg(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
avg(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: average the values of the field
avg(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: average the values of the field
avg(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: average the values of the field

B

BigDecimalFunction<T> - io.github.burukeyou.dataframe.iframe.function中的接口
bigDecimalToClassValue(BigDecimal, Class<R>) - 类中的静态方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
build() - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
buildFieldList(F) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
buildPrintDataArr(int) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame

C

calcGrowthRate(BigDecimal, BigDecimal, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 计算增长率 (结果X100) （当前值 - 上次值）/上次值 * 100%
calcGrowthRateNoMulti100(BigDecimal, BigDecimal, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 计算增长率不乘100 （当前值 - 上次值）/上次值 * 100%
calcVolatilityRate(List<BigDecimal>) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 计算波动率
checkElementIndex(int, int, String) - 类中的静态方法io.github.burukeyou.dataframe.util.PartitionList
col(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
col(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get a column value
col(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get a column value
col(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get a column value
CollectorsPlusUtil - io.github.burukeyou.dataframe.util中的类
columns() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
columns() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get column headers
columns() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get column headers
columns() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get column headers
convertToDataFrameItem2(Map<K, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
convertToDataFrameItem3(Map<K, Map<J, V>>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
convertToDataFrameItem4(Map<K, Map<J, Map<H, V>>>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
count() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
count() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: get row count
count() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: get row count
count() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: get row count
count() - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
count(Function<T, R>) - 接口中的静态方法io.github.burukeyou.dataframe.iframe.group.Agg
CountAgg<T,R> - io.github.burukeyou.dataframe.iframe.group中的类
CountAgg(Function<T, R>) - 类的构造器io.github.burukeyou.dataframe.iframe.group.CountAgg
countDistinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Calculate the quantity after deduplication
countDistinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Calculate the quantity after deduplication
countDistinct(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
countDistinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Calculate the quantity after deduplication
countDistinct(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
countDistinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Calculate the quantity after deduplication
countDistinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Calculate the quantity after deduplication
countDistinct(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
countDistinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Calculate the quantity after deduplication
countDistinct(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
cutFirst(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the top n element
cutFirst(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the top n element
cutFirst(int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl: 截取前n个
cutFirst(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the top n element
cutFirst(int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl: =========================== 截取相关 =====================================
cutLast(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the last n element
cutLast(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the last n element
cutLast(int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
cutLast(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the last n element
cutLast(int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
cutRankingSameAsc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the top n by ranking value, by comparator to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the top n by ranking value, by comparator to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Comparator<T>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
cutRankingSameAsc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the top n by ranking value, by comparator to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Comparator<T>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
cutRankingSameAsc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the top n by ranking value, by field to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the top n by ranking value, by field to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Function<T, R>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
cutRankingSameAsc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the top n by ranking value, by field to ranking asc The same value is considered to have the same ranking
cutRankingSameAsc(Function<T, R>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
cutRankingSameDesc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the top n by ranking value, by comparator to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the top n by ranking value, by comparator to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Comparator<T>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
cutRankingSameDesc(Comparator<T>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the top n by ranking value, by comparator to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Comparator<T>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
cutRankingSameDesc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Cut the top n by ranking value, by field to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Cut the top n by ranking value, by field to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Function<T, R>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
cutRankingSameDesc(Function<T, R>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Cut the top n by ranking value, by field to ranking desc The same value is considered to have the same ranking
cutRankingSameDesc(Function<T, R>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl

D

data - 类中的变量io.github.burukeyou.dataframe.iframe.SDFrameImpl
dataList - 类中的变量io.github.burukeyou.dataframe.iframe.JDFrameImpl
DefaultJoin<T,K,R> - io.github.burukeyou.dataframe.iframe.support中的类: Merge attributes based on the same field names
DefaultJoin() - 类的构造器io.github.burukeyou.dataframe.iframe.support.DefaultJoin
DFList<T> - io.github.burukeyou.dataframe.iframe.support中的类
DFList(List<T>) - 类的构造器io.github.burukeyou.dataframe.iframe.support.DFList
distinct() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: distinct by T value
distinct() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: distinct by T value
distinct() - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
distinct() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: distinct by T value
distinct() - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
distinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: distinct by comparator
distinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: distinct by comparator
distinct(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
distinct(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: distinct by comparator
distinct(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
distinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: distinct by field value
distinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: distinct by field value
distinct(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
distinct(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: distinct by field value
distinct(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
divide(int, int, RoundingMode) - 类中的静态方法io.github.burukeyou.dataframe.util.PartitionList
divide(BigDecimal, BigDecimal) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils
divide(BigDecimal, BigDecimal, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 除法计算
divide(T1, T2, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils
doCalcGrowthRate(BigDecimal, BigDecimal, int, boolean) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 计算增长率（当前值 - 上次值）/上次值 * 100%

F

FI2<T1,T2> - io.github.burukeyou.dataframe.iframe.item中的类: DataFrame （2 x 2 矩阵）
FI2() - 类的构造器io.github.burukeyou.dataframe.iframe.item.FI2
FI3<T1,T2,T3> - io.github.burukeyou.dataframe.iframe.item中的类: DataFrame （3 x 3 矩阵）
FI3() - 类的构造器io.github.burukeyou.dataframe.iframe.item.FI3
FI4<T1,T2,T3,T4> - io.github.burukeyou.dataframe.iframe.item中的类: DataFrame （4 x 4 矩阵）
FI4() - 类的构造器io.github.burukeyou.dataframe.iframe.item.FI4
fieldList - 类中的变量io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
first() - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
first(int) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList: 取前N个
from(List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
from(Stream<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame
from(Stream<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame
from(Stream<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
from(Stream<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame
from(Stream<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl

G

get(int) - 类中的方法io.github.burukeyou.dataframe.util.PartitionList
getListMaxFunction(Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
getListMinFunction(Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
getSuperClassActualTypeArguments(Class<?>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
getSuperInterfaceActualTypeArguments(Class<?>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
group(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group list
group(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group list
group(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
group(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group list
group(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByAvg(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group average
groupByAvg(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group average
groupByAvg(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByAvg(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group average
groupByAvg(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByAvg(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByAvg(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByAvg(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByAvg(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group average
groupByAvg(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByCount(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group count
groupByCount(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group count
groupByCount(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByCount(Function<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group count
groupByCount(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByCount(Function<T, K>, Function<T, J>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group count
groupByCount(Function<T, K>, Function<T, J>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group count
groupByCount(Function<T, K>, Function<T, J>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByCount(Function<T, K>, Function<T, J>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group count
groupByCount(Function<T, K>, Function<T, J>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByCount(Function<T, K>, Function<T, J>, Function<T, H>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group count
groupByCount(Function<T, K>, Function<T, J>, Function<T, H>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group count
groupByCount(Function<T, K>, Function<T, J>, Function<T, H>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByCount(Function<T, K>, Function<T, J>, Function<T, H>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group count
groupByCount(Function<T, K>, Function<T, J>, Function<T, H>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMax(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max
groupByMax(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max
groupByMax(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMax(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max
groupByMax(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMax(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max
groupByMax(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max
groupByMax(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMax(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max
groupByMax(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max and min element
groupByMaxMin(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max and min value
groupByMaxMinValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMaxValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMaxValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group max value
groupByMaxValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group min
groupByMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group min
groupByMin(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMin(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group min
groupByMin(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group min
groupByMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group min
groupByMin(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMin(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group min
groupByMin(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, J>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupByMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupByMinValue(Function<T, K>, Function<T, V>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group min value
groupByMinValue(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupBySum(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group summation
groupBySum(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group summation
groupBySum(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl: =========================== 分组相关 =====================================
groupBySum(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group summation
groupBySum(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl: =========================== 分组相关 =====================================
groupBySum(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupBySum(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupBySum(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupBySum(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group summation
groupBySum(Function<T, K>, Function<T, J>, Function<T, H>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupBySumCount(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group sum and count together
groupBySumCount(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group sum and count together
groupBySumCount(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupBySumCount(Function<T, K>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group sum and count together
groupBySumCount(Function<T, K>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
groupBySumCount(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Group sum and count together
groupBySumCount(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Group sum and count together
groupBySumCount(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
groupBySumCount(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Group sum and count together
groupBySumCount(Function<T, K>, Function<T, J>, NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
GroupFrame<K,T> - io.github.burukeyou.dataframe.iframe中的接口
GroupFrameImpl<K,T> - io.github.burukeyou.dataframe.iframe中的类
GroupFrameImpl(IFrame<FI2<K, List<T>>>) - 类的构造器io.github.burukeyou.dataframe.iframe.GroupFrameImpl
groupKey(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
groupKey(Function<T, K>, Function<T, J>, Function<T, H>, Collector<T, ?, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl: 三级分组
groupKey(Function<T, K>, Function<T, J>, Collector<T, ?, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl: 二级分组
groupKey(Function<T, K>, Collector<T, ?, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl: 一级分组
groupToMap(Function<T, K>, Function<T, J>, Function<List<T>, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl

H

head() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
head() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get the first element
head() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get the first element
head() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get the first element
head(int) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
head(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get the first n elements
head(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get the first n elements
head(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get the first n elements

I

IFrame<T> - io.github.burukeyou.dataframe.iframe中的接口: A Simple DataFrame Stream API Interface define
io.github.burukeyou.dataframe.iframe - 程序包 io.github.burukeyou.dataframe.iframe
io.github.burukeyou.dataframe.iframe.function - 程序包 io.github.burukeyou.dataframe.iframe.function
io.github.burukeyou.dataframe.iframe.group - 程序包 io.github.burukeyou.dataframe.iframe.group
io.github.burukeyou.dataframe.iframe.item - 程序包 io.github.burukeyou.dataframe.iframe.item
io.github.burukeyou.dataframe.iframe.support - 程序包 io.github.burukeyou.dataframe.iframe.support
io.github.burukeyou.dataframe.util - 程序包 io.github.burukeyou.dataframe.util
isEmpty() - 类中的方法io.github.burukeyou.dataframe.util.PartitionList
isEmpty(Collection<?>) - 类中的静态方法io.github.burukeyou.dataframe.util.ListUtils
isNotEmpty(Collection<?>) - 类中的静态方法io.github.burukeyou.dataframe.util.ListUtils
iterator() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl

J

JDFrame<T> - io.github.burukeyou.dataframe.iframe中的接口: JDFrame The operations before and after are discontinuous, and all operations take effect in real time.
JDFrameImpl<T> - io.github.burukeyou.dataframe.iframe中的类
JDFrameImpl(List<T>) - 类的构造器io.github.burukeyou.dataframe.iframe.JDFrameImpl
join(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: inner join Frame such as IFrame.join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
join(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: inner join Frame such as IFrame.join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
join(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
join(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: inner join Frame such as IFrame.join(IFrame, JoinOn, Join), but the default Join is DefaultJoin, it will automatically map to a new Frame based on the same name
join(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
join(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: inner join Frame
join(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: inner join Frame
join(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
join(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: inner join Frame
join(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
join(T, K) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DefaultJoin
join(T, K) - 接口中的方法io.github.burukeyou.dataframe.iframe.support.Join
Join<T,K,R> - io.github.burukeyou.dataframe.iframe.support中的接口: Connection operation
joinList(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
JoinOn<T,K> - io.github.burukeyou.dataframe.iframe.support中的接口

L

last(int) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList: 取后N个
leftJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: left join Frame such as IFrame.leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
leftJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: left join Frame such as IFrame.leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
leftJoin(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
leftJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: left join Frame such as IFrame.leftJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
leftJoin(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
leftJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
leftJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
leftJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
leftJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: left join Frame if connection conditions false, The callback value K for Join will be null， always keep T
leftJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
leftJoinList(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
lenientFormat(String, Object...) - 类中的静态方法io.github.burukeyou.dataframe.util.PartitionList
ListUtils - io.github.burukeyou.dataframe.util中的类

M

map(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: convert to the new Frame
map(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: convert to the new Frame
map(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
map(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: convert to the new Frame
map(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Percentage convert such as IFrame.mapPercent(Function, SetFunction, int), but default scale is 2
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Percentage convert such as IFrame.mapPercent(Function, SetFunction, int), but default scale is 2
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Percentage convert such as IFrame.mapPercent(Function, SetFunction, int), but default scale is 2
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Percentage convert you can convert the value of a certain field to a percentage, Then assign a value to a certain column through SetFunction
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Percentage convert you can convert the value of a certain field to a percentage, Then assign a value to a certain column through SetFunction
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>, int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Percentage convert you can convert the value of a certain field to a percentage, Then assign a value to a certain column through SetFunction
mapPercent(Function<T, R>, SetFunction<T, BigDecimal>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
MathUtils - io.github.burukeyou.dataframe.util中的类: 数学工具
max(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
max(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the maximum element
max(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the maximum element
max(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the maximum element
maxBy(BigDecimalFunction<? super T>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
maxMin(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
maxMin(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the maximum and minimum element
maxMin(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the maximum and minimum element
maxMin(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the maximum and minimum element
MaxMin<T> - io.github.burukeyou.dataframe.iframe.support中的类
MaxMin() - 类的构造器io.github.burukeyou.dataframe.iframe.support.MaxMin
maxMinValue(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
maxMinValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the maximum and minimum value
maxMinValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the maximum and minimum value
maxMinValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the maximum and minimum value
maxValue(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
maxValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the maximum value
maxValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the maximum value
maxValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the maximum value
mergeCollection(Collection<List<C>>) - 类中的静态方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
min(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
min(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the minimum element
min(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the minimum element
min(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the minimum element
minBy(BigDecimalFunction<? super T>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
minValue(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
minValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Finding the minimum value
minValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Finding the minimum value
minValue(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Finding the minimum value
MSG - 类中的静态变量io.github.burukeyou.dataframe.iframe.AbstractCommonFrame

N

NumberFunction<T,R extends Number> - io.github.burukeyou.dataframe.iframe.support中的接口

O

on(T, K) - 接口中的方法io.github.burukeyou.dataframe.iframe.support.JoinOn
ONE_HUNDRED - 类中的静态变量io.github.burukeyou.dataframe.util.MathUtils

P

partition(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: partition cut the matrix into multiple small matrices, with each matrix size n
partition(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: partition cut the matrix into multiple small matrices, with each matrix size n
partition(int) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
partition(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: partition cut the matrix into multiple small matrices, with each matrix size n
partition(int) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
PartitionList<T> - io.github.burukeyou.dataframe.util中的类
PartitionList(List<T>, int) - 类的构造器io.github.burukeyou.dataframe.util.PartitionList
percentage(BigDecimal) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 小数转百分比
percentage(BigDecimal, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils
proportion(BigDecimal, BigDecimal, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils: 占比计算
proportion(T1, T2, int) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils

R

rankingSameAsc(List<T>, Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
rankingSameAsc(List<T>, Comparator<T>, int) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractCommonFrame
read(List<R>) - 接口中的静态方法io.github.burukeyou.dataframe.iframe.JDFrame: Convert a list to JDFrame
read(List<R>) - 接口中的静态方法io.github.burukeyou.dataframe.iframe.SDFrame: Convert a list to SDFrame
read(List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
replenish(Function<T, C>, List<C>, Function<C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Summarize all collectDim values, calculate the difference between them, and then add the missing difference to the Frame through getEmptyObject
replenish(Function<T, C>, List<C>, Function<C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Summarize all collectDim values, calculate the difference between them, and then add the missing difference to the Frame through getEmptyObject
replenish(Function<T, C>, List<C>, Function<C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
replenish(Function<T, C>, List<C>, Function<C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Summarize all collectDim values, calculate the difference between them, and then add the missing difference to the Frame through getEmptyObject
replenish(Function<T, C>, List<C>, Function<C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
replenish(Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: such as IFrame.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
replenish(Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: such as IFrame.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
replenish(Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
replenish(Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: such as IFrame.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
replenish(Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
replenish(Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: 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.
replenish(Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: 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.
replenish(Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
replenish(Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: 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.
replenish(Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
replenish(List<T>, Function<T, C>, List<C>, Function<C, T>) - 类中的静态方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
replenish(List<T>, Function<T, G>, Function<T, C>, ReplenishFunction<G, C, T>) - 类中的静态方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
replenish(List<T>, Function<T, G>, Function<T, C>, List<C>, ReplenishFunction<G, C, T>) - 类中的静态方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl: 分组计算差集，然后将差集补充到该分组内将原始集合(itemDTOList) 按照groupDim维度进分组，然后将每个分组内的所有collectDim字段进行汇总汇总后与 allAbscissa进行计算差集，这些差集就是需要补充的条目，然后将这些差集按照getEmptyObject逻辑生成空对象添加到该分组内
ReplenishFunction<T1,T2,R> - io.github.burukeyou.dataframe.iframe.function中的接口
returnDF(List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
returnDF(List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
returnDF(Stream<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
returnThis(List<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
returnThis(Stream<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
rightJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: right join Frame such as IFrame.rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
rightJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: right join Frame such as IFrame.rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
rightJoin(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
rightJoin(IFrame<K>, JoinOn<T, K>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: right join Frame such as IFrame.rightJoin(IFrame, JoinOn, Join), but the default Join is DefaultJoin,
rightJoin(IFrame<K>, JoinOn<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
rightJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
rightJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
rightJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
rightJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: right join Frame if connection conditions false, The callback value T for Join will be null， always keep K
rightJoin(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
rightJoinList(IFrame<K>, JoinOn<T, K>, Join<T, K, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl

S

SDFrame<T> - io.github.burukeyou.dataframe.iframe中的接口: Stream DataFrame The operations before and after are continuous, consistent with the stream flow, and some operations terminate the execution of the operation.
SDFrameImpl<T> - io.github.burukeyou.dataframe.iframe中的类
SDFrameImpl(List<T>) - 类的构造器io.github.burukeyou.dataframe.iframe.SDFrameImpl
SDFrameImpl(Stream<T>) - 类的构造器io.github.burukeyou.dataframe.iframe.SDFrameImpl
SetFunction<T,V> - io.github.burukeyou.dataframe.iframe.function中的接口
show() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
show() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: print the 10 row to the console
show() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: print the 10 row to the console
show() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: print the 10 row to the console
show(int) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
show(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: print the n row to the console
show(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: print the n row to the console
show(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: print the n row to the console
size() - 类中的方法io.github.burukeyou.dataframe.util.PartitionList
sortAsc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Ascending order
sortAsc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Ascending order
sortAsc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
sortAsc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Ascending order
sortAsc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
sortAsc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
sortAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Ascending order
sortAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Ascending order
sortAsc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
sortAsc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Ascending order
sortAsc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
sortByValueAndReverse(List<Map.Entry<String, BigDecimal>>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
sortByValueAndReverseForLong(List<Map.Entry<String, Long>>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
sortDesc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Descending order
sortDesc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Descending order
sortDesc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl: =========================== 排序相关 =====================================
sortDesc(Comparator<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Descending order
sortDesc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl: =========================== 排序相关 =====================================
sortDesc(Comparator<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
sortDesc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Descending order by field
sortDesc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Descending order by field
sortDesc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
sortDesc(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Descending order by field
sortDesc(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
stream() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: get stream
stream() - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
stream() - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
streamFilterNull(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
sum(NumberFunction<T, F>) - 接口中的静态方法io.github.burukeyou.dataframe.iframe.group.Agg
sum(NumberFunction<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.GroupFrame
sum(NumberFunction<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.GroupFrameImpl
sum(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl: =========================== 汇总相关 =====================================
sum(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Sum the values of the field
sum(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Sum the values of the field
sum(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Sum the values of the field
SumAgg<T,R extends Number> - io.github.burukeyou.dataframe.iframe.group中的类
SumAgg(NumberFunction<T, R>) - 类的构造器io.github.burukeyou.dataframe.iframe.group.SumAgg
summingBigDecimal(BigDecimalFunction<? super T>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil
summingBigDecimalForNumber(NumberFunction<T, R>) - 类中的静态方法io.github.burukeyou.dataframe.util.CollectorsPlusUtil

T

tail() - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
tail() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get the last element
tail() - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get the last element
tail() - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get the last element
tail(int) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
tail(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Get the last n elements
tail(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Get the last n elements
tail(int) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Get the last n elements
toBigDecimal(T) - 类中的静态方法io.github.burukeyou.dataframe.util.MathUtils
toJDFrame() - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
toLists() - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Convert to list
toLists() - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
toLists() - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
toMap(Function<T, K>) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
toMap(Function<T, K>, Function<T, V>) - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList
toSDFrame() - 类中的方法io.github.burukeyou.dataframe.iframe.support.DFList

U

union(IFrame<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: add other Frame to this
union(IFrame<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: add other Frame to this
union(IFrame<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
union(IFrame<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: add other Frame to this
union(IFrame<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl

W

where(Predicate<? super T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: filter by predicate
where(Predicate<? super T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: filter by predicate
where(Predicate<? super T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
where(Predicate<? super T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: filter by predicate
where(Predicate<? super T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl: =========================== 筛选相关 =====================================
whereBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Screening within the interval,front closed and back closed.
whereBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Screening within the interval,front closed and back closed.
whereBetween(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Screening within the interval,front closed and back closed.
whereBetween(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereBetweenL(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Screening within the interval , front close and back open [start,end)
whereBetweenL(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Screening within the interval , front close and back open [start,end)
whereBetweenL(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereBetweenL(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Screening within the interval , front close and back open [start,end)
whereBetweenL(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereBetweenLStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Screening within the interval , front open and back open (start,end)
whereBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Screening within the interval , front open and back open (start,end)
whereBetweenN(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Screening within the interval , front open and back open (start,end)
whereBetweenN(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereBetweenNStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereBetweenR(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Screening within the interval , front open and back close (start,end]
whereBetweenR(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Screening within the interval , front open and back close (start,end]
whereBetweenR(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereBetweenR(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Screening within the interval , front open and back close (start,end]
whereBetweenR(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereBetweenRStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereBetweenStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter equals
whereEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter equals
whereEq(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter equals
whereEq(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereEqStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereGe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter Greater than or equal to
whereGe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter Greater than or equal to
whereGe(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereGe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter Greater than or equal to
whereGe(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereGeStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereGt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter Greater than value
whereGt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter Greater than value
whereGt(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereGt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter Greater than value
whereGt(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereGtStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: The query value is within the specified range
whereIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: The query value is within the specified range
whereIn(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: The query value is within the specified range
whereIn(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereInStream(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereLe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter less than or equal to
whereLe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter less than or equal to
whereLe(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereLe(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter less than or equal to
whereLe(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereLeStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Fuzzy query contains specified values
whereLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Fuzzy query contains specified values
whereLike(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Fuzzy query contains specified values
whereLike(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereLikeLeft(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: prefix fuzzy query contains specified values
whereLikeLeft(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: prefix fuzzy query contains specified values
whereLikeLeft(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereLikeLeft(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: prefix fuzzy query contains specified values
whereLikeLeft(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereLikeLeftStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereLikeRight(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: suffix fuzzy query contains specified values
whereLikeRight(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: suffix fuzzy query contains specified values
whereLikeRight(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereLikeRight(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: suffix fuzzy query contains specified values
whereLikeRight(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereLikeRightStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereLikeStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereLt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter LESS than value
whereLt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter LESS than value
whereLt(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereLt(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter LESS than value
whereLt(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereLtStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Out of range screening, (front closed and back closed) [start,end]
whereNotBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Out of range screening, (front closed and back closed) [start,end]
whereNotBetween(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotBetween(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Out of range screening, (front closed and back closed) [start,end]
whereNotBetween(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Out of range screening, (front open and back open) (start,end)
whereNotBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Out of range screening, (front open and back open) (start,end)
whereNotBetweenN(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotBetweenN(Function<T, R>, R, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Out of range screening, (front open and back open) (start,end)
whereNotBetweenN(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotBetweenNStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotBetweenStream(Function<T, R>, R, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter not equals
whereNotEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter not equals
whereNotEq(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotEq(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter not equals
whereNotEq(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotEqStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: The query value is outside the specified range
whereNotIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: The query value is outside the specified range
whereNotIn(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotIn(Function<T, R>, List<R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: The query value is outside the specified range
whereNotIn(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotInStream(Function<T, R>, List<R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Fuzzy query not contains specified values
whereNotLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Fuzzy query not contains specified values
whereNotLike(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotLike(Function<T, R>, R) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Fuzzy query not contains specified values
whereNotLike(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotLikeStream(Function<T, R>, R) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter field values that are not null,If it is string compatible, null and '' situations
whereNotNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter field values that are not null,If it is string compatible, null and '' situations
whereNotNull(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter field values that are not null,If it is string compatible, null and '' situations
whereNotNull(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNotNullStream(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereNotTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: filter not true by predicate
whereNotTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: filter not true by predicate
whereNotTrue(Predicate<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereNotTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: filter not true by predicate
whereNotTrue(Predicate<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: Filter field values that are null, If it is string compatible, null and '' situations
whereNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: Filter field values that are null, If it is string compatible, null and '' situations
whereNull(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl: =========================== 筛选相关 =====================================
whereNull(Function<T, R>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: Filter field values that are null, If it is string compatible, null and '' situations
whereNull(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl
whereNullStream(Function<T, R>) - 类中的方法io.github.burukeyou.dataframe.iframe.AbstractDataFrameImpl
whereTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.IFrame: filter true by predicate
whereTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.JDFrame: filter true by predicate
whereTrue(Predicate<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.JDFrameImpl
whereTrue(Predicate<T>) - 接口中的方法io.github.burukeyou.dataframe.iframe.SDFrame: filter true by predicate
whereTrue(Predicate<T>) - 类中的方法io.github.burukeyou.dataframe.iframe.SDFrameImpl

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