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(Integer... 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(Column... cols) |
Create a new data frame by leaving out the specified columns.
|
DataFrame |
DataFrameGroupBy.getGroup(Object key) |
Get a group as DataFrame
|
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.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) |
|
DataFrame |
DataFrame.sortBy(Object... 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
|