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---
title: draw_zne_extrapolators (latest version)
description: API reference for qiskit_ibm_runtime.visualization.draw_zne_extrapolators in the latest version of qiskit-ibm-runtime
in_page_toc_min_heading_level: 1
python_api_type: function
python_api_name: qiskit_ibm_runtime.visualization.draw_zne_extrapolators
---
<span id="qiskit-ibm-runtime-visualization-draw-zne-extrapolators" />
# qiskit\_ibm\_runtime.visualization.draw\_zne\_extrapolators
<Function id="qiskit_ibm_runtime.visualization.draw_zne_extrapolators" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.36/qiskit_ibm_runtime/visualization/draw_zne.py#L155-L271" signature="draw_zne_extrapolators(result, indices=None, names=None, num_stds=1, max_mag=10, max_std=0.2, height=500, width=1000, colorscale='Aggrnyl')">
Plot the zero noise extrapolation data in an `EstimatorPubResult`.
This function generates a subfigure for each extrapolator.
**Parameters**
* **result** (*EstimatorPubResult*) An `EstimatorPubResult`.
* **indices** (*Sequence\[tuple\[int, ...]] | None*) The indices of the expectation values to include in the plot. If `None`, includes all values. See [`ZneOptions`](options-zne-options "qiskit_ibm_runtime.options.ZneOptions") for information on the indexing scheme.
* **names** (*Sequence\[str] | None*) The names to assign to the expectation values. If `None`, the names correspond to the indices.
* **num\_stds** (*int*) The number of standard deviations to include around each fit.
* **max\_mag** (*float*) The maximum magnitude of expectation values to include. If `evs_extrapolated` has a greater magnitude than this value, the expectation value is omitted from the plot.
* **max\_std** (*float*) The maximum standard deviation to include. If `stds_extrapolated` is greater than this value for an expectation value and extrapolator, the fit is omitted from the plot.
* **height** (*int*) The height of the plot in pixels.
* **width** (*int*) The width of the plot in pixels.
* **colorscale** (*str*) The colorscale to use.
**Returns**
A plotly figure.
**Raises**
* **ValueError** If `result` does not contain zero noise extrapolation data.
* **ValueError** If the length of `names` is not equal to the length of `indices`.
**Return type**
PlotlyFigure
</Function>