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---
title: EstimatorResult
description: API reference for qiskit.primitives.EstimatorResult
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.primitives.EstimatorResult
---
# EstimatorResult
<Class id="qiskit.primitives.EstimatorResult" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.24/qiskit/primitives/base/estimator_result.py" signature="EstimatorResult(values, metadata)" modifiers="class">
Bases: `BasePrimitiveResult`
Result of Estimator.
```python
result = estimator.run(circuits, observables, params).result()
```
where the i-th elements of `result` correspond to the circuit and observable given by `circuits[i]`, `observables[i]`, and the parameter values bounds by `params[i]`. For example, `results.values[i]` gives the expectation value, and `result.metadata[i]` is a metadata dictionary for this circuit and parameters.
**Parameters**
* **values** (*np.ndarray*) The array of the expectation values.
* **metadata** (*list\[dict]*) List of the metadata.
## Methods
<span id="qiskit-primitives-estimatorresult-decompose" />
### decompose
<Function id="qiskit.primitives.EstimatorResult.decompose" signature="EstimatorResult.decompose()">
Generate single experiment result objects from self.
**Return type**
Iterator\[BasePrimitiveResult]
</Function>
## Attributes
### experiments
<Attribute id="qiskit.primitives.EstimatorResult.experiments">
Experiment data dicts in any inheriting result dataclass.
</Attribute>
### num\_experiments
<Attribute id="qiskit.primitives.EstimatorResult.num_experiments">
Number of experiments in any inheriting result dataclass.
</Attribute>
### values
<Attribute id="qiskit.primitives.EstimatorResult.values" attributeTypeHint="np.ndarray[Any, np.dtype[np.float64]]" />
### metadata
<Attribute id="qiskit.primitives.EstimatorResult.metadata" attributeTypeHint="list[dict[str, Any]]" />
</Class>