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Excerpt

Logical operators (and, or, not) enable you to logically combine multiple expressions to evaluate a larger, more complex expression whose output is true or false.

Code Block
(left-hand side) (operator) (right-hand side)

These evaluations result in a Boolean output. The following operators are supported:

Operator NameSymbolExample ExpressionOutputNotes
and&&

((1 == 1) && (2 == 2))

true 
  

((1 == 1) && (2 == 3))

false 
or||

((1 == 1) || (2 == 2))

trueExclusive or (xor) is not supported.
  

((1 == 2) || (2 == 3))

false 
not!

!(1 == 1)

false 
  

!(1 == 2)

true 

The above examples apply to integer values only. Below, you can review how the comparison operators apply to different data types. 

Usage

Logical operators are used to perform evaluations of expressions covering a variety of data types. Typically, they are applied in evaluations of values or rows. 

Example data:

XY
truetrue
truefalse
falsetrue
falsefalse

Transforms:

D trans
RawWrangletrue
p03Value'col_and'
Typestep
WrangleTextderive type:single value:(X && Y) as: 'col_and'
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value(X && Y)
p03NameNew column name
SearchTermNew formula

D trans
RawWrangletrue
p03Value'col_or'
Typestep
WrangleTextderive type:single value:(X || Y) as: 'col_or'
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value(X || Y)
p03NameNew column name
SearchTermNew formula

D trans
RawWrangletrue
p03Value'col_not_and'
Typestep
WrangleTextderive type:single value:!(or) as: 'col_not_and'
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value!(or)
p03NameNew column name
SearchTermNew formula

D trans
RawWrangletrue
p03Value'col_not_or'
Typestep
WrangleTextderive type:single value:!(or) as: 'col_not_or'
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value!(or)
p03NameNew column name
SearchTermNew formula

Results:

Your output looks like the following:

XYcol_andcol_orcol_not_andcol_not_or
truetruetruetruefalsefalse
truefalsefalsetruetruefalse
falsetruefalsetruetruefalse
falsefalsefalsefalsetruetrue

D s
snippetExamples

and

Column TypeExample TransformOutputNotes
Integer/Decimal

D trans
RawWrangletrue
Typestep
WrangleTextset col:InRange value:((Input >= 10) && (Input <= 90))
p01NameColumns
p01ValueInRange
p02NameFormula
p02Value((Input >= 10) && (Input <= 90))
SearchTermEdit column with formula

  • Set the value of the InRange column to true if the value of the Input column is between 10 and 90, inclusive.
  • Otherwise, InRange column is false.

 

 

 
Datetime

D trans
RawWrangletrue
p03Value((Date >= DATE(2014, 01, 01)) && (Date <= DATE(2014, 12, 31))
Typestep
WrangleTextdelete row: ((Date >= DATE(2014, 01, 01)) && (Date <= DATE(2014, 12, 31))
p01NameCondition
p01ValueCustom formula
p02NameType of formula
p02ValueCustom single
p03NameCondition
p04ValueDelete matching rows
p04NameAction
SearchTermFilter rows

Delete all rows in which the Date value falls somewhere in 2014. 
String

D trans
RawWrangletrue
Typestep
WrangleTextderive type:single value:((LEFT(USStates,1) == "A") && (RIGHT(USStates,1) == "A"))
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value((LEFT(USStates,1) == "A") && (RIGHT(USStates,1) == "A"))
SearchTermNew formula

For U.S. State names, the generated column contains true for the following values:

  • Alabama
  • Alaska
  • Arizona

For all other values, the generated value is false.

 

or

Column TypeExample TransformOutputNotes
Integer/Decimal

D trans
RawWrangletrue
Typestep
WrangleTextset col:BigOrder value:((Total > 1000000) || (Qty > 1000))
p01NameColumns
p01ValueBigOrder
p02NameFormula
p02Value((Total > 1000000) || (Qty > 1000))
SearchTermEdit column with formula

  • In the BigOrder column, set the value to true if the value of Total is more than 1,000,000 or the value of Qty is more than 1000.
  • Otherwise, the value is false.
 
Datetime

D trans
RawWrangletrue
p03Value((Date <= DATE(1950, 01, 01)) || (Date >= DATE(2050, 12, 31))
Typestep
WrangleTextdelete row: ((Date <= DATE(1950, 01, 01)) || (Date >= DATE(2050, 12, 31))
p01NameCondition
p01ValueCustom formula
p02NameType of formula
p02ValueCustom single
p03NameCondition
p04ValueDelete matching rows
p04NameAction
SearchTermFilter rows

Delete all rows in the dataset where the Date value is earlier than 01/01/1950 or later than 12/31/2050. 
String

D trans
RawWrangletrue
p03Value'good_car'
Typestep
WrangleTextderive type:single value:((Brand == 'subaru') || ('Color' == 'green')) as:'good_car'
p01NameFormula type
p01ValueSingle row formula
p02NameFormula
p02Value((Brand == 'subaru') || ('Color' == 'green'))
p03NameNew column name
SearchTermNew formula

  • Generate the new good_car column containing true if the Brand is subaru or the Color is green.
  • Otherwise, the good_car value is false.
 

not

Column TypeExample TransformOutputNotes
Integer/Decimal

D trans
RawWrangletrue
p03Value!((sqft < 1300) && (bath < 2) && (bed < 2.5))
Typestep
WrangleTextkeep row:!((sqft < 1300) && (bath < 2) && (bed < 2.5))
p01NameCondition
p01ValueCustom formula
p02NameType of formula
p02ValueCustom single
p03NameCondition
p04ValueKeep matching rows
p04NameAction
SearchTermFilter rows

Keep all rows for houses that do not meet any of these criteria:

  • smaller than 1300 square feet, 
  • less than 2 bathrooms, 
  • less than 2.5 bedrooms.
 
Datetime

D trans
RawWrangletrue
p03Value!(YEAR(Date) == '2016')
Typestep
WrangleTextkeep row:!(YEAR(Date) == '2016')
p01NameCondition
p01ValueCustom formula
p02NameType of formula
p02ValueCustom single
p03NameCondition
p04ValueKeep matching rows
p04NameAction
SearchTermFilter rows

Keep all rows in the dataset where the year of the Date value is not 2016. 
String

D trans
RawWrangletrue
p03Value!(status == 'Keep_It')
Typestep
WrangleTextdelete row:!(status == 'Keep_It')
p01NameCondition
p01ValueCustom formula
p02NameType of formula
p02ValueCustom single
p03NameCondition
p04ValueDelete matching rows
p04NameAction
SearchTermFilter rows

Delete all rows in which the value of the status column is not Keep_It.

 

Noprint

See Also

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