程序包 org.meteoinfo.dataframe

类 DataFrameGroupBy

java.lang.Object

org.meteoinfo.dataframe.GroupBy

org.meteoinfo.dataframe.DataFrameGroupBy

所有已实现的接口:

Iterable<Map.Entry<Object,DataFrame>>

public class DataFrameGroupBy
extends GroupBy
implements Iterable<Map.Entry<Object,DataFrame>>

作者:

Yaqiang Wang

字段概要

从类继承的字段 org.meteoinfo.dataframe.GroupBy

groups

构造器概要

构造器

构造器	说明
DataFrameGroupBy(Grouping groups, DataFrame dataFrame)	Constructor

方法概要

修饰符和类型	方法	说明
<V> DataFrame	apply(Function<?,?> function)	Apply a function
DataFrame	count()	Compute the sum of the numeric columns for each group.
DataFrame	getGroup(Object key)	Get a group as DataFrame
int	groupNumber()	Get group number
Iterator<Map.Entry<Object,DataFrame>>	iterator()
DataFrame	max()	Compute the Maximum of the numeric columns for each group.
DataFrame	mean()	Compute the mean of the numeric columns for each group.
DataFrame	median()	Compute the median of the numeric columns for each group.
DataFrame	min()	Compute the minimum of the numeric columns for each group.
DataFrame	percentile(double quantile)	Compute the percentile of the numeric columns for each group.
DataFrame	stdDev()	Compute the standard deviation of the numeric columns for each group.
DataFrame	sum()	Compute the sum of the numeric columns for each group.

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

从接口继承的方法 java.lang.Iterable

forEach, spliterator

构造器详细资料

DataFrameGroupBy

public DataFrameGroupBy(Grouping groups,
                        DataFrame dataFrame)

Constructor

参数:

groups - The groups

dataFrame - The data frame

方法详细资料

groupNumber

public int groupNumber()

Get group number

返回:

Group number

getGroup

public DataFrame getGroup(Object key)
                   throws InvalidRangeException

Get a group as DataFrame

参数:

key - The group key

返回:

DataFrame

抛出:

InvalidRangeException

apply

public <V> DataFrame apply(Function<?,?> function)

Apply a function

类型参数:

V - Data type

参数:

function - The function

返回:

Result DataFrame

count

public DataFrame count()

Compute the sum of the numeric columns for each group.

指定者:

count 在类中 GroupBy

返回:

the new data frame

sum

public DataFrame sum()

Compute the sum of the numeric columns for each group.

指定者:

sum 在类中 GroupBy

返回:

the new data frame

mean

public DataFrame mean()

Compute the mean of the numeric columns for each group.

指定者:

mean 在类中 GroupBy

返回:

the new data frame

min

public DataFrame min()

Compute the minimum of the numeric columns for each group.

指定者:

min 在类中 GroupBy

返回:

the new data frame

max

public DataFrame max()

Compute the Maximum of the numeric columns for each group.

指定者:

max 在类中 GroupBy

返回:

the new data frame

median

public DataFrame median()

Compute the median of the numeric columns for each group.

指定者:

median 在类中 GroupBy

返回:

the new data frame

stdDev

public DataFrame stdDev()

Compute the standard deviation of the numeric columns for each group.

指定者:

stdDev 在类中 GroupBy

返回:

the new dataframe

percentile

public DataFrame percentile(double quantile)

Compute the percentile of the numeric columns for each group.

指定者:

percentile 在类中 GroupBy

参数:

quantile - Quantile value

返回:

the new dataframe

iterator

public Iterator<Map.Entry<Object,DataFrame>> iterator()

指定者:

iterator 在接口中 Iterable<Map.Entry<Object,DataFrame>>