@property
def histnorm(self):
    '\n        Specifies the type of normalization used for this histogram\n        trace. If "", the span of each bar corresponds to the number of\n        occurrences (i.e. the number of data points lying inside the\n        bins). If "percent" / "probability", the span of each bar\n        corresponds to the percentage / fraction of occurrences with\n        respect to the total number of sample points (here, the sum of\n        all bin HEIGHTS equals 100% / 1). If "density", the span of\n        each bar corresponds to the number of occurrences in a bin\n        divided by the size of the bin interval (here, the sum of all\n        bin AREAS equals the total number of sample points). If\n        *probability density*, the area of each bar corresponds to the\n        probability that an event will fall into the corresponding bin\n        (here, the sum of all bin AREAS equals 1).\n\n        The \'histnorm\' property is an enumeration that may be specified as:\n          - One of the following enumeration values:\n                [\'\', \'percent\', \'probability\', \'density\', \'probability\n                density\']\n\n        Returns\n        -------\n        Any\n        '
    return self['histnorm']
Specifies the type of normalization used for this histogram
trace. If "", the span of each bar corresponds to the number of
occurrences (i.e. the number of data points lying inside the
bins). If "percent" / "probability", the span of each bar
corresponds to the percentage / fraction of occurrences with
respect to the total number of sample points (here, the sum of
all bin HEIGHTS equals 100% / 1). If "density", the span of
each bar corresponds to the number of occurrences in a bin
divided by the size of the bin interval (here, the sum of all
bin AREAS equals the total number of sample points). If
*probability density*, the area of each bar corresponds to the
probability that an event will fall into the corresponding bin
(here, the sum of all bin AREAS equals 1).

The 'histnorm' property is an enumeration that may be specified as:
  - One of the following enumeration values:
        ['', 'percent', 'probability', 'density', 'probability
        density']

Returns
-------
Any
@property
def histnorm(self):
    '\n        Specifies the type of normalization used for this histogram\n        trace. If , the span of each bar corresponds to the number of\n        occurrences (i.e. the number of data points lying inside the\n        bins). If "percent" / "probability", the span of each bar\n        corresponds to the percentage / fraction of occurrences with\n        respect to the total number of sample points (here, the sum of\n        all bin HEIGHTS equals 100% / 1). If "density", the span of\n        each bar corresponds to the number of occurrences in a bin\n        divided by the size of the bin interval (here, the sum of all\n        bin AREAS equals the total number of sample points). If\n        *probability density*, the area of each bar corresponds to the\n        probability that an event will fall into the corresponding bin\n        (here, the sum of all bin AREAS equals 1).\n\n        The \'histnorm\' property is an enumeration that may be specified as:\n          - One of the following enumeration values:\n                [\'\', \'percent\', \'probability\', \'density\', \'probability\n                density\']\n\n        Returns\n        -------\n        Any\n        '
    return self['histnorm']