73 std::vector<size_type>
const& keys,
105 std::vector<size_type>
const& keys,
147 std::vector<size_type>
const& keys,
180 std::vector<size_type>
const& keys,
248 std::vector<size_type>
const& keys,
274 std::vector<size_type>
const& keys,
304 std::vector<size_type>
const& keys,
A non-owning, immutable view of device data as a column of elements, some of which may be null as ind...
A set of cudf::column_view's of the same size.
device_memory_resource * get_current_device_resource()
std::unique_ptr< table > stable_distinct(table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep=duplicate_keep_option::KEEP_ANY, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Create a new table without duplicate rows, preserving input order.
std::unique_ptr< table > unique(table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep, null_equality nulls_equal=null_equality::EQUAL, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Create a new table with consecutive duplicate rows removed.
cudf::size_type unique_count(column_view const &input, null_policy null_handling, nan_policy nan_handling)
Count the number of consecutive groups of equivalent rows in a column.
duplicate_keep_option
Choices for drop_duplicates API for retainment of duplicate rows.
std::unique_ptr< table > distinct(table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep=duplicate_keep_option::KEEP_ANY, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Create a new table without duplicate rows.
std::unique_ptr< table > apply_boolean_mask(table_view const &input, column_view const &boolean_mask, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Filters input using boolean_mask of boolean values as a mask.
cudf::size_type distinct_count(column_view const &input, null_policy null_handling, nan_policy nan_handling)
Count the distinct elements in the column_view.
std::unique_ptr< table > drop_nulls(table_view const &input, std::vector< size_type > const &keys, cudf::size_type keep_threshold, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Filters a table to remove null elements with threshold count.
std::unique_ptr< table > drop_nans(table_view const &input, std::vector< size_type > const &keys, cudf::size_type keep_threshold, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Filters a table to remove NANs with threshold count.
@ KEEP_ANY
Keep an unspecified occurrence.
@ KEEP_NONE
Keep no (remove all) occurrences of duplicates.
@ KEEP_LAST
Keep last occurrence.
@ KEEP_FIRST
Keep first occurrence.
null_equality
Enum to consider two nulls as equal or unequal.
int32_t size_type
Row index type for columns and tables.
null_policy
Enum to specify whether to include nulls or exclude nulls.
nan_policy
Enum to treat NaN floating point value as null or non-null element.
nan_equality
Enum to consider different elements (of floating point types) holding NaN value as equal or unequal.
@ EQUAL
nulls compare equal
@ ALL_EQUAL
All NaNs compare equal, regardless of sign.
Type declarations for libcudf.