ArrowStringDataFrameColumn Class

Constructs an ArrowStringDataFrameColumn with the given name, length and nullCount. The values, offsets and nullBits are the contents of the column in the Arrow format.

Constructs an empty ArrowStringDataFrameColumn with the given name.

The type of data this column holds.

Returns length number of values starting from startIndex.

Indexer to get values. This is an immutable column

The length of this column

The column name.

The number of null values in this column.

Updates each numeric element with its absolute numeric value

Performs element-wise addition

Performs an element-wise addition on each value in the column

Adds a new DataViewSchema.Column to the specified builder for the current column.

Appends a value to this DataFrameColumn using cursor

Returns whether all the elements are True

Performs an element-wise boolean And on each value in the column

Performs element-wise boolean And

Returns whether any element is True

Applies a function to all the values

Clamps values beyond the specified thresholds

Clone column to produce a copy potentially changing the order of values by supplying mapIndices and an invert flag

Clone column to produce a copy potentially changing the order of values by supplying mapIndices and an invert flag

Updates each element with its cumulative maximum

Updates column values at rowIndices with its cumulative rowIndices maximum

Updates each element with its cumulative minimum

Updates column values at rowIndices with its cumulative rowIndices minimum

Updates each element with its cumulative product

Updates column values at rowIndices with its cumulative rowIndices product

Updates each element with its cumulative sum

Updates column values at rowIndices with its cumulative rowIndices sum

Returns a DataFrameColumn with statistics that describe the column

Performs element-wise division

Performs an element-wise division on each value in the column

Performs element-wise equals

Returns a boolean column that is the result of an elementwise equality comparison of each value in the column with value

Performs an element-wise equals on each value in the column

Performs element-wise greater than

Performs an element-wise greater than on each value in the column

Performs element-wise greater than or equal

Performs an element-wise greater than or equal on each value in the column

Performs an element-wise not equal to Null on each value in the column

Performs an element-wise equal to Null on each value in the column

Performs element-wise less than

Performs an element-wise less than on each value in the column

Performs element-wise less than or equal

Performs an element-wise less than or equal on each value in the column

Performs element-wise not-equals

Returns a boolean column that is the result of an elementwise not-equal comparison of each value in the column with value

Performs an element-wise not-equals on each value in the column

Returns a new column with null elements replaced by value.

Returns a new column filtered by the lower and upper bounds

Creates a ValueGetter<TValue> that will return the value of the column for the row the cursor is referencing.

Returns an enumerator that iterates through the string values in this column.

Returns an enumerator that iterates this column.

Get occurences of each value from this column in other column, grouped by this value

Returns the max number of values that are contiguous in memory

Returns an enumeration of immutable buffers representing the underlying values in the Apache Arrow format

Returns an enumeration of immutable ReadOnlyMemory<T> buffers representing null values in the Apache Arrow format

Returns an enumeration of immutable ReadOnlyMemory<T> representing offsets into its corresponding Data buffer. The Apache Arrow format specifies how the offset buffer encodes the length of each value in the Data buffer

Returns the value at rowIndex.

Returns the ValueGetter for each active column in cursor as a delegate to be cached.

Returns length number of values starting from startIndex.

Groups the rows of this column by their value.

Used to exclude columns from the Description method

Returns a StringDataFrameColumn containing the DataType and Length of this column

Determines if the column is of a numeric type

Indicates if the value at this index is null.

Performs an element-wise left shift on each value in the column

Returns the maximum of the values in the column

Returns the maximum of the values at rowIndices

Returns the mean of the values in the column. Throws if this is not a numeric column

Returns the median of the values in the column. Throws if this is not a numeric column

Returns the minimum of the values in the column

Returns the minimum of the values at the rowIndices

Performs element-wise modulus

Performs an element-wise modulus operation on each value in the column

Performs element-wise multiplication

Performs an element-wise multiplication on each value in the column

Performs an element-wise boolean Or on each value in the column

Performs element-wise boolean Or

Returns the product of the values in the column

Returns the product of the values at the rowIndices

Called internally from Append, Merge and GroupBy. Resizes the column to the specified length to allow setting values by indexing

Performs a reversed element-wise addition on each value in the column

Performs a reversed element-wise boolean And on each value in the column

Performs a reversed element-wise division on each value in the column

Performs a reversed element-wise modulus operation on each value in the column

Performs a reversed element-wise multiplication on each value in the column

Performs a reversed element-wise boolean Or on each value in the column

Performs a reversed element-wise subtraction on each value in the column

Performs a reversed element-wise boolean Xor on each value in the column

Performs an element-wise right shift on each value in the column

Calls Math.Round on each value in a column

Updates the name of this column.

Updates the column name.

Sets the value at rowIndex with value

Returns a copy of this column sorted by its values

Performs element-wise subtraction

Performs an element-wise subtraction on each value in the column

Returns the sum of the values in the column

Returns the sum of the values at the rowIndices

Returns a DataFrame containing counts of unique values

Performs an element-wise boolean Xor on each value in the column

Performs element-wise boolean Xor