seaborn.objects.Continuous#

class seaborn.objects.Continuous(values=None, norm=None, trans=None)#

A numeric scale supporting norms and functional transforms.

tick(locator=None, *, at=None, upto=None, count=None, every=None, between=None, minor=None)#

Configure the selection of ticks for the scale’s axis or legend.

Parameters:

locatormatplotlib.ticker.Locator subclass: Pre-configured matplotlib locator; other parameters will not be used.
atsequence of floats: Place ticks at these specific locations (in data units).
uptoint: Choose “nice” locations for ticks, but do not exceed this number.
countint: Choose exactly this number of ticks, bounded by between or axis limits.
everyfloat: Choose locations at this interval of separation (in data units).
betweenpair of floats: Bound upper / lower ticks when using every or count.
minorint: Number of unlabeled ticks to draw between labeled “major” ticks.

Returns:

label(formatter=None, *, like=None, base=<default>, unit=None)#

Configure the appearance of tick labels for the scale’s axis or legend.

Parameters:

formattermatplotlib.ticker.Formatter subclass: Pre-configured formatter to use; other parameters will be ignored.
likestr or callable: Either a format pattern (e.g., ".2f"), a format string with fields named x and/or pos (e.g., "${x:.2f}"), or a callable that consumes a number and returns a string.
basenumber: Use log formatter (with scientific notation) having this value as the base. Set to None to override the default formatter with a log transform.
unitstr or (str, str) tuple: Use SI prefixes with these units (e.g., with unit="g", a tick value of 5000 will appear as 5 kg). When a tuple, the first element gives the separator between the number and unit.

Returns: