Experiment Results (qiskit.result)

Result(backend_name, backend_version, …[, …])	Model for Results.
ResultError(error)	Exceptions raised due to errors in result output.
Counts(data[, time_taken, creg_sizes, …])	A class to store a counts result from a circuit execution.
marginal_counts(result[, indices, inplace, …])	Marginalize counts from an experiment over some indices of interest.

Distributions

ProbDistribution(data[, shots])	A generic dict-like class for probability distributions.
QuasiDistribution(data[, shots])	A dict-like class for representing qasi-probabilities.