DataFrameCompoundWriter class

Writer for DataFrame objects using compound datatype strategy

This class converts a DataFrame into an HDF5 dataset using a compound datatype, where each row is stored as a struct-like record with fields for each column. This is the default storage strategy for DataFrames with homogeneous or mixed datatypes.

The compound datatype approach:

• Stores data row-by-row as compound records
• Each column becomes a field in the compound type
• Column names are stored as an attribute
• Efficient for row-oriented access patterns
• Compatible with pandas and h5py

Example usage:

final df = DataFrame([
  [1, 'Alice', 25.5],
  [2, 'Bob', 30.0],
], columns: ['id', 'name', 'age']);

final writer = DataFrameCompoundWriter();
final result = writer.createCompoundDataset(df);

Constructors

DataFrameCompoundWriter()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

createCompoundDataset(DataFrame df) → Map<String, dynamic>

Create compound dataset information from a DataFrame

getFieldInfo(DataFrame df) → Map<String, dynamic>

Get field information for a DataFrame

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited