contains

pylibcudf.strings.contains.contains_re(

Column input,

RegexProgram prog,

stream=None,

DeviceMemoryResource mr=None,

) → Column

Returns a boolean column identifying rows which match the given regex_program object.

For details, see contains_re().

Parameters:

inputColumn

The input strings

progRegexProgram

Regex program instance

Returns:

pylibcudf.Column

New column of boolean results for each string

pylibcudf.strings.contains.count_re(

Column input,

RegexProgram prog,

stream=None,

DeviceMemoryResource mr=None,

) → Column

Returns the number of times the given regex_program’s pattern matches in each string.

For details, see count_re().

Parameters:

inputColumn

The input strings

progRegexProgram

Regex program instance

Returns:

pylibcudf.Column

New column of match counts for each string

pylibcudf.strings.contains.like(

Column input,

str pattern,

str escape_character=None,

stream=None,

DeviceMemoryResource mr=None,

) → Column

Returns a boolean column identifying rows which match the given like pattern.

For details, see like().

Parameters:

inputColumn

The input strings

patternstr

Like pattern to match within each string

escape_characterstr

Optional character specifies the escape prefix. Default is no escape character.

Returns:

pylibcudf.Column

New column of boolean results for each string

pylibcudf.strings.contains.matches_re(

Column input,

RegexProgram prog,

stream=None,

DeviceMemoryResource mr=None,

) → Column

Returns a boolean column identifying rows which matching the given regex_program object but only at the beginning the string.

For details, see matches_re().

Parameters:

inputColumn

The input strings

progRegexProgram

Regex program instance

Returns:

pylibcudf.Column

New column of boolean results for each string