iplot_histogram

iplot_histogram(data, figsize=None, number_to_keep=None, sort='asc', legend=None)[source]

Create a histogram representation.

Graphical representation of the input array using a vertical bars style graph.

Parameters

  • data (list or dict) – This is either a list of dicts or a single dict containing the values to represent (ex. {‘001’ : 130})

  • figsize (tuple) – Figure size in pixels.

  • number_to_keep (int) – The number of terms to plot and rest is made into a single bar called other values

  • sort (string) – Could be ‘asc’ or ‘desc’

  • legend (list) – A list of strings to use for labels of the data. The number of entries must match the length of data.

Raises

VisualizationError – When legend is provided and the length doesn’t match the input data.

Example

from qiskit import QuantumCircuit, BasicAer, execute
from qiskit.visualization import iplot_histogram
%matplotlib inline

qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])

backend = BasicAer.get_backend('qasm_simulator')
job = execute(qc, backend)
iplot_histogram(job.result().get_counts())