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Autogenerate (via boilerplate) more of pyplot. #10934

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Merged
merged 1 commit into from
May 4, 2018
Merged

Autogenerate (via boilerplate) more of pyplot. #10934

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81 changes: 46 additions & 35 deletions lib/matplotlib/axes/_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1598,9 +1598,10 @@ def apply_aspect(self, position=None):
self.set_xbound((x0, x1))

def axis(self, *v, **kwargs):
"""Set axis properties.
"""
Convenience method to get or set some axis properties.

Valid signatures::
Call signatures::

xmin, xmax, ymin, ymax = axis()
xmin, xmax, ymin, ymax = axis(list_arg)
Expand All @@ -1609,39 +1610,44 @@ def axis(self, *v, **kwargs):

Parameters
----------
v : list of float or {'on', 'off', 'equal', 'tight', 'scaled',\
'normal', 'auto', 'image', 'square'}
Optional positional argument

Axis data limits set from a list; or a command relating to axes:

========== ================================================
Value Description
========== ================================================
'on' Toggle axis lines and labels on
'off' Toggle axis lines and labels off
'equal' Equal scaling by changing limits
'scaled' Equal scaling by changing box dimensions
'tight' Limits set such that all data is shown
'auto' Automatic scaling, fill rectangle with data
'normal' Same as 'auto'; deprecated
'image' 'scaled' with axis limits equal to data limits
'square' Square plot; similar to 'scaled', but initially\
forcing xmax-xmin = ymax-ymin
========== ================================================
v : List[float] or one of the strings listed below.
Optional positional-only argument

If a list, set the axis data limits. If a string:

======== ==========================================================
Value Description
======== ==========================================================
'on' Turn on axis lines and labels.
'off' Turn off axis lines and labels.
'equal' Set equal scaling (i.e., make circles circular) by
changing axis limits.
'scaled' Set equal scaling (i.e., make circles circular) by
changing dimensions of the plot box.
'tight' Set limits just large enough to show all data.
'auto' Automatic scaling (fill plot box with data).
'normal' Same as 'auto'; deprecated.
'image' 'scaled' with axis limits equal to data limits.
'square' Square plot; similar to 'scaled', but initially forcing
``xmax-xmin = ymax-ymin``.
======== ==========================================================

emit : bool, optional
Passed to set_{x,y}lim functions, if observers
are notified of axis limit change
Passed to set_{x,y}lim functions, if observers are notified of axis
limit change.

xmin, ymin, xmax, ymax : float, optional
The axis limits to be set
The axis limits to be set.

Returns
-------
xmin, xmax, ymin, ymax : float
The axis limits
The axis limits.

See also
--------
matplotlib.axes.Axes.set_xlim
matplotlib.axes.Axes.set_ylim
"""

if len(v) == 0 and len(kwargs) == 0:
Expand Down Expand Up @@ -1762,18 +1768,18 @@ def get_yticklines(self):
# Adding and tracking artists

def _sci(self, im):
"""
helper for :func:`~matplotlib.pyplot.sci`;
do not use elsewhere.
"""Set the current image.

This image will be the target of colormap functions like
`~.pyplot.viridis`, and other functions such as `~.pyplot.clim`. The
current image is an attribute of the current axes.
"""
if isinstance(im, matplotlib.contour.ContourSet):
if im.collections[0] not in self.collections:
raise ValueError(
"ContourSet must be in current Axes")
raise ValueError("ContourSet must be in current Axes")
elif im not in self.images and im not in self.collections:
raise ValueError(
"Argument must be an image, collection, or ContourSet in "
"this Axes")
raise ValueError("Argument must be an image, collection, or "
"ContourSet in this Axes")
self._current_image = im

def _gci(self):
Expand Down Expand Up @@ -3674,7 +3680,12 @@ def format_coord(self, x, y):
return 'x=%s y=%s' % (xs, ys)

def minorticks_on(self):
'Add autoscaling minor ticks to the axes.'
"""
Display minor ticks on the axes.

Displaying minor ticks may reduce performance; you may turn them off
using `minorticks_off()` if drawing speed is a problem.
"""
for ax in (self.xaxis, self.yaxis):
scale = ax.get_scale()
if scale == 'log':
Expand Down
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