qiskit/result/postprocess.py
def format_counts(counts, header=None):
    """Format a single experiment result coming from backend to present
    to the Qiskit user.

    Args:
        counts (dict): counts histogram of multiple shots
        header (dict): the experiment header dictionary containing
            useful information for postprocessing.

    Returns:
        dict: a formatted counts
    """
    counts_dict = {}
    for key, val in counts.items():
        key = format_counts_memory(key, header)
        counts_dict[key] = val
    return counts_dict
def format_counts(counts, header=None):
    counts_dict = {}
    for key, val in counts.items():
        key = format_counts_memory(key, header)
        counts_dict[key] = val
    return counts_dict
def format_counts ( counts , header = None ) : counts_dict = { } for key , val in counts . items ( ) : key = format_counts_memory ( key , header ) counts_dict [ key ] = val return counts_dict
Format a single experiment result coming from backend to present
    to the Qiskit user.

    Args:
        counts (dict): counts histogram of multiple shots
        header (dict): the experiment header dictionary containing
            useful information for postprocessing.

    Returns:
        dict: a formatted counts
Format a single experiment result coming from backend to present to the Qiskit user .