类的使用
org.meteoinfo.dataframe.DataFrame

使用DataFrame的程序包

程序包	说明
org.meteoinfo.dataframe
org.meteoinfo.dataframe.impl

org.meteoinfo.dataframe中DataFrame的使用

返回DataFrame的org.meteoinfo.dataframe中的方法

修饰符和类型	方法	说明
DataFrame	DataFrame.append(DataFrame df)	Append another data frame
<V> DataFrame	DataFrame.apply(Function<?,?> function)	Apply a function
<V> DataFrame	DataFrameGroupBy.apply(Function<?,?> function)	Apply a function
DataFrame	DataFrame.count()	Compute the sum of the numeric columns.
DataFrame	DataFrameGroupBy.count()	Compute the sum of the numeric columns for each group.
<V> DataFrame	DataFrame.describe()
DataFrame	DataFrame.drop(int... cols)	Create a new data frame by leaving out the specified columns.
DataFrame	DataFrame.drop(List<String> colNames)	Create a new data frame by leaving out the specified columns.
DataFrame	DataFrame.drop(List dropIndex, List dropCols)	Drop DataFrame by index and columns
DataFrame	DataFrame.drop(Column... cols)	Create a new data frame by leaving out the specified columns.
DataFrame	DataFrame.dropNAAll(boolean row)	Remove null or NaN values - any value is null or NaN in a row or column
DataFrame	DataFrame.dropNAAny(boolean row)	Remove null or NaN values - any value is null or NaN in a row or column
DataFrame	DataFrame.dropRows(List dropIndex)	Drop rows
DataFrame	DataFrame.equal(Number v)	Equal
DataFrame	DataFrame.equal(String v)	Equal
DataFrame	DataFrame.extract(List<Integer> rowRange, List<Integer> colRange)	Extract DataFrame by row and column ranges
DataFrame	DataFrameGroupBy.getGroup(Object key)	Get a group as DataFrame
DataFrame	DataFrame.greaterThan(Number v)	Greater than
DataFrame	DataFrame.greaterThanOrEqual(Number v)	Greater than or equal
DataFrame	DataFrame.isIn(List values)	Whether elements in DataFrame are contained in values
DataFrame	DataFrame.lessThan(Number v)	Less than
DataFrame	DataFrame.lessThanOrEqual(Number v)	Less than or equal
DataFrame	DataFrame.max()	Compute the Maximum of the numeric columns.
DataFrame	DataFrameGroupBy.max()	Compute the Maximum of the numeric columns for each group.
DataFrame	DataFrame.mean()	Compute the mean of the numeric columns.
DataFrame	DataFrameGroupBy.mean()	Compute the mean of the numeric columns for each group.
DataFrame	DataFrame.median()	Compute the median of the numeric columns.
DataFrame	DataFrameGroupBy.median()	Compute the median of the numeric columns for each group.
DataFrame	DataFrame.min()	Compute the minimum of the numeric columns.
DataFrame	DataFrameGroupBy.min()	Compute the minimum of the numeric columns for each group.
DataFrame	DataFrame.numeric()	Return a data frame containing only columns with numeric data.
DataFrame	DataFrameGroupBy.percentile(double quantile)	Compute the percentile of the numeric columns for each group.
static DataFrame	DataFrame.readTable(String fileName, String delimiter, int skipRows, String formatSpec, String encoding, int indexCol, String indexFormat, List<String> names, Integer header, int skipFooter)	Read data frame from ASCII file
static DataFrame	DataFrame.readTable(String fileName, String delimiter, int skipRows, String formatSpec, String encoding, int indexCol, String indexFormat, List<String> names, Integer header, int skipFooter, List<Object> usecolsin)	Read data frame from ASCII file
DataFrame	DataFrame.replace(Object toReplace, Object value)	Replace value
DataFrame	DataFrame.retain(Integer... cols)	Create a new data frame containing only the specified columns.
DataFrame	DataFrame.retain(Object... cols)	Create a new data frame containing only the specified columns.
DataFrame	DataFrame.sortBy(boolean ascending, Integer... cols)
<V> DataFrame	DataFrame.sortBy(Comparator<List<V>> comparator)
DataFrame	DataFrame.sortBy(List<String> cols, List<Boolean> ascendings)
DataFrame	DataFrame.sortByIndex(boolean ascending)
DataFrame	DataFrame.stdDev()	Compute the median of the numeric columns.
DataFrame	DataFrameGroupBy.stdDev()	Compute the standard deviation of the numeric columns for each group.
DataFrame	DataFrame.sum()	Compute the sum of the numeric columns.
DataFrame	DataFrameGroupBy.sum()	Compute the sum of the numeric columns for each group.
DataFrame	DataFrame.transpose()	Transpose

返回变量类型为DataFrame的类型的org.meteoinfo.dataframe中的方法

修饰符和类型	方法	说明
Iterator<Map.Entry<Object,DataFrame>>	DataFrameGroupBy.iterator()

参数类型为DataFrame的org.meteoinfo.dataframe中的方法

修饰符和类型	方法	说明
DataFrame	DataFrame.append(DataFrame df)	Append another data frame

参数类型为DataFrame的org.meteoinfo.dataframe中的构造器

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

org.meteoinfo.dataframe.impl中DataFrame的使用

声明为DataFrame的org.meteoinfo.dataframe.impl中的字段

修饰符和类型	字段	说明
protected DataFrame	Views.TransformedSeriesView.df
protected DataFrame	Views.TransformedView.df

返回DataFrame的org.meteoinfo.dataframe.impl中的方法

修饰符和类型	方法	说明
<V> DataFrame	Grouping.apply(DataFrame df, Function<?,?> function)
static DataFrame	Aggregation.describe(DataFrame df)
static <V> DataFrame	Sorting.sort(DataFrame df, Comparator<List<V>> comparator)
static <V> DataFrame	Sorting.sort(DataFrame df, Map<Integer,SortDirection> cols)
static <V> DataFrame	Sorting.sortIndex(DataFrame df, SortDirection dir)

参数类型为DataFrame的org.meteoinfo.dataframe.impl中的方法

修饰符和类型	方法	说明
<V> DataFrame	Grouping.apply(DataFrame df, Function<?,?> function)
static DataFrame	Aggregation.describe(DataFrame df)
static SparseBitSet	Inspection.nonnumeric(DataFrame df)
static SparseBitSet	Inspection.numeric(DataFrame df)
static <V> SparseBitSet	Selection.select(DataFrame df, Predicate<V> predicate)
static <V> SparseBitSet[]	Selection.slice(DataFrame df, Integer rowStart, Integer rowEnd, Integer colStart, Integer colEnd)
static <V> DataFrame	Sorting.sort(DataFrame df, Comparator<List<V>> comparator)
static <V> DataFrame	Sorting.sort(DataFrame df, Map<Integer,SortDirection> cols)
static <V> DataFrame	Sorting.sortIndex(DataFrame df, SortDirection dir)
static List<Class<?>>	Inspection.types(DataFrame df)

参数类型为DataFrame的org.meteoinfo.dataframe.impl中的构造器

构造器	说明
DataFrameListView(DataFrame df, int index, boolean transpose)
DataFrameMapView(DataFrame df, int index, boolean transpose)
FlatView(DataFrame df)
Grouping(DataFrame df, Integer... columns)
Grouping(DataFrame df, KeyFunction<V> function, Integer... columns)
Grouping(DataFrame df, WindowFunction function)
ListView(DataFrame df, boolean transpose)
MapView(DataFrame df, boolean transpose)
SeriesListView(DataFrame df, int index, boolean transpose)
TransformedSeriesView(DataFrame df, Function<V,U> transform, int index, boolean transpose)
TransformedView(DataFrame df, Function<V,U> transform, boolean transpose)