cartopy.mpl.ticker.LatitudeLocator#

class cartopy.mpl.ticker.LatitudeLocator(nbins=8, *, dms=False, **kwargs)[source]#

A locator for latitudes that works even at very small scale.

Parameters:

dms (bool) – Allow the locator to stop on minutes and seconds (False by default)
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 acceptable tick multiples, starting with 1 and ending with 10. For example, if steps=[1, 2, 4, 5, 10], 20, 40, 60 or 0.4, 0.6, 0.8 would be possible sets of ticks because they are multiples of 2. 30, 60, 90 would not be generated because 3 does not appear in this example 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 the ‘lower’ tick, the ‘upper’ tick, or ticks on ‘both’ sides if they fall exactly on an axis’ edge (this typically occurs when axes.autolimit_mode is ‘round_numbers’). Removing such ticks is mostly useful for stacked or ganged plots, where the upper tick of an axes overlaps with the lower tick of the axes above it.
min_n_ticks (int, default: 2) – Relax nbins and integer constraints if necessary to obtain this minimum number of ticks.

tick_values(vmin, vmax)[source]#

Return the values of the located ticks given vmin and vmax.

Note

To get tick locations with the vmin and vmax values defined automatically for the associated axis simply call the Locator instance:

>>> print(type(loc))
<type 'Locator'>
>>> print(loc())
[1, 2, 3, 4]