AutoFilterSupport

AutoFilterSupport

Overview

AutoFilterSupport is a class in Aspose.Cells FOSS for Java.

Provides utility methods for auto-filter support.

This class provides 9 methods for working with AutoFilterSupport objects in Java programs. Available methods include: compareFilterColumns, normalizeOptionalRange, normalizeOptionalText, normalizeRequiredRange, normalizeText, parseOperatorOrDefault, toOperatorName, tryNormalizeRange, tryParseOperator. All exported members are accessible to any Java application after installing the Aspose.Cells FOSS for Java package.

Description

AutoFilterSupport is a class in the Aspose.Cells FOSS library for Java that exposes 9 methods and 0 properties for programmatic use.

Methods

SignatureDescription
normalizeOptionalRange(value: String, parameterName: String) → StringNormalizes an optional range value to a valid cell or range reference.
normalizeRequiredRange(value: String, parameterName: String) → StringNormalizes a required range value to a valid cell or range reference.
tryNormalizeRange(value: String, normalized: String[]) → booleanTries to normalize a range value to a valid cell or range reference.
normalizeText(value: String, parameterName: String) → StringNormalizes text by trimming whitespace.
normalizeOptionalText(value: String) → StringNormalizes optional text by trimming whitespace.
parseOperatorOrDefault(value: String) → com.aspose.cells_foss.core.AutoFilterModel.FilterOperatorTypeParses a filter operator string into a FilterOperatorType.
tryParseOperator(value: String, operatorType: com.aspose.cells_foss.core.AutoFilterModel.FilterOperatorType[]) → booleanTries to parse a filter operator string into a FilterOperatorType.
toOperatorName(operatorType: com.aspose.cells_foss.core.AutoFilterModel.FilterOperatorType) → StringConverts a FilterOperatorType to its string representation.
compareFilterColumns(left: com.aspose.cells_foss.core.AutoFilterModel.FilterColumnModel, right: com.aspose.cells_foss.core.AutoFilterModel.FilterColumnModel) → intCompares two filter column models by their column index.

See Also

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