Analytics Python SequenceIterator Methods by Category

Please use the links below to view descriptions and examples of these methods by category:

Unary_Operators Methods that apply the specified operation to produce a result sequence of the same type: abs, neg
Binary_Methods Methods that take an input sequence and produce a result sequence of the same type: add, sub, mul, div, mod, max, min
Comparison_Operators Methods that take an input sequence and produce a result sequence of boolean values for the comparison operators: ==, !=, >, >=, <, <=
Logical_Operators Methods that take an input sequence and produce a result sequence of boolean values from the logical operators: not, and, or, xor
Conversion_Operators Convert the object's sequence elements to the desired type
Collapse_Methods Methods that collapse two sequences to scalar values such as: weighted sum, weighted average, covariance, correlation
Conditional_Methods Methods that perform operations on one or two input sequences based on a condition such as: if, iif, filter, filter_pos
Manipulator_Methods Methods that perform various sequence manipulations
Iterator_Methods Methods that extract values from sequence iterators such as: next, first, last, append, insert, delete, search, count, map, project, store
Top_Methods Methods that return the top n elements (or their positions) of the input sequence: top_max, top_min, top_pos_max, top_pos_min
Grand Aggregate Methods that produce a scalar aggregate value in the result sequence: count, max, min, sum, prd, avg, approxdc, approxdc_hash
Group_Aggregate Methods that split the sequence into groups based on the values of a group_by argument
Grid_Aggregate Methods that split the sequence into intervals specified by the interval argument which determines the maximum number of elements in the group
Window_Aggregate Like the “Grid” functions illustrated above, however the interval argument indicates the next N elements from the input sequence
Hash_Aggregate Group the resulting sequence by grouping sequence that is not ordered
Cumulative_Aggregate Accumulate the average, sum, product, etc. of all preceding elements in the result sequence
Miscellaneous Provide sort, order_by and histogram functionalities