maximum number, 'nicely' spaced ticks. In earlier version of matplotlib

this computation did not take into account the space available for the

tick label, which could result in overlapping text.

.. plot::

import matplotlib.pyplot as plt

import numpy as np

from matplotlib.ticker import AutoLocator

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 3), tight_layout=True)

ax1.set_xlim(0, .1)

ax2.set_xlim(0, .1)

ax1.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])

ax1.set_title('classic')

ax2.set_title('v2.0')

By default, the algorithm will also ensure that there are at least two

ticks visible.

There is no way, other than using ``mpl.style.use('classic')`` to restore the

previous behavior as the default. On an axis-by-axis basis you may either

mutate the existing locator via: ::

or create a new `~matplotlib.ticker.MaxNLocator`::

The previous auto-scaling behavior was to find 'nice' round numbers

that enclosed the data limits, however this could produce

pathologically bad plots if the data happened to fall on a vertical or

horizontal line near a 'round number'. The new default is set the

view limits to 5% wider than the data range

.. plot::

import matplotlib as mpl

import matplotlib.pyplot as plt

import numpy

data = np.zeros(1000)

data[0] = 1

fig = plt.figure(figsize=(6, 3))

def demo(fig, rc, title, j):

with mpl.rc_context(rc=rc):

ax = fig.add_subplot(1, 2, j)

ax.plot(data)

ax.set_title(title)

demo(fig, {'axes.autolimit_mode': 'round_numbers',

'axes.xmargin': 0,

'axes.ymargin': 0}, 'classic', 1)

demo(fig, {}, 'v2.0', 2)

The size of the padding in the x and y directions is controlled by the

``'axes.xmargin'`` and ``'axes.ymargin'`` rcParams respectively. If

the view limits should be 'round numbers' is controlled by the

``'axes.autolimit_mode'`` rcParam. The default value, ``'data'``,

does not guaranteed that tick at the end of the view where as

``'round_number'`` will. Also see `~matplotlib.axes.Axes.margins`.

Not all `~matplotlib.artist.Artist` classes make sense to add a margin to

(for example a margin should not be added for a `~matplotlib.image.AxesImage`

created with `~matplotlib.axes.Axes.imshow`). To control the applications of

the margins, the `~matplotlib.artist.Artist` class has gained the properties :

- `~matplotlib.artist.Artist.top_margin`

- `~matplotlib.artist.Artist.bottom_margin`

- `~matplotlib.artist.Artist.left_margin`

- `~matplotlib.artist.Artist.right_margin`

- `~matplotlib.artist.Artist.margins`

along with the complimentary ``get_*`` and ``set_*`` methods. When

computing the view limits, each `~matplotlib.artist.Artist` that is

considered is asked if it should have a margin applied on each side.

If *any* artists does not want to have a margin added to a given side.

Some plotting methods and artists have margins disabled by default

(for example `~matplotlib.axes.Axes.bar` disables the bottom margin). To cancel

the margins by a specific artist, pass the kwargs :

to any plotting method or artist ``__init__`` which supports ``**kwargs`` (as

any unused kwargs eventually get passed to `~matplotlib.artist.Artist.update`).

The previous default can be restored by using::

or setting::

in your :file:`matplotlibrc` file.