Classe « MaxNLocator »

Constructeur matplotlib.pyplot.MaxNLocator.__init__

Signature de la constructeur __init__

def __init__(self, *args, **kwargs) 

Description

__init__.__doc__

        Parameters
        ----------
        nbins : int or 'auto', default: 10
            Maximum number of intervals; one less than max number of
            ticks.  If the string 'auto', the number of bins will be
            automatically determined based on the length of the axis.

        steps : array-like, optional
            Sequence of nice numbers starting with 1 and ending with 10;
            e.g., [1, 2, 4, 5, 10], where the values are acceptable
            tick multiples.  i.e. for the example, 20, 40, 60 would be
            an acceptable set of ticks, as would 0.4, 0.6, 0.8, because
            they are multiples of 2.  However, 30, 60, 90 would not
            be allowed because 3 does not appear in the list of steps.

        integer : bool, default: False
            If True, ticks will take only integer values, provided at least
            *min_n_ticks* integers are found within the view limits.

        symmetric : bool, default: False
            If True, autoscaling will result in a range symmetric about zero.

        prune : {'lower', 'upper', 'both', None}, default: None
            Remove edge ticks -- useful for stacked or ganged plots where
            the upper tick of one axes overlaps with the lower tick of the
            axes above it, primarily when :rc:`axes.autolimit_mode` is
            ``'round_numbers'``.  If ``prune=='lower'``, the smallest tick will
            be removed.  If ``prune == 'upper'``, the largest tick will be
            removed.  If ``prune == 'both'``, the largest and smallest ticks
            will be removed.  If *prune* is *None*, no ticks will be removed.

        min_n_ticks : int, default: 2
            Relax *nbins* and *integer* constraints if necessary to obtain
            this minimum number of ticks.