Module array

Array module that provides enhanced array types and utilities

This module provides specialized array types for scientific computing:

• MaskedArray: Arrays that can mask out values for operations
• RecordArray: Arrays with named fields for structured data

These types are inspired by and compatible with NumPy’s masked array and record array implementations, providing similar functionality in Rust.

Modules

prelude

Common array types for scientific computing

Structs

MaskedArray

Represents an array with a mask to identify invalid or missing values

Record

Represents a single record (row) in a RecordArray

RecordArray

A structured array with named fields

Enums

ArrayError

Error type for array operations

FieldValue

Enum to hold different types of field values

Constants

NOMASK

The global “no mask” constant

Functions

is_masked

Function to check if a value is masked

mask_array

Create a masked array

masked_equal

Create a masked array with elements equal to a given value masked

masked_greater

Create a masked array with values greater than a given value masked

masked_inside

Create a masked array with values inside a range masked

masked_invalid

Create a masked array with NaN and infinite values masked

masked_less

Create a masked array with values less than a given value masked

masked_outside

Create a masked array with values outside a range masked

masked_where

Create a masked array with values where a condition is true

record_array_from_arrays

Create a RecordArray from arrays of the same length

record_array_from_records

Create a RecordArray from a sequence of tuples

record_array_from_typed_arrays

Create a RecordArray from arrays with different numeric types