.. redirect-from:: /tutorials/toolkits/axisartist

.. _axisartist:

======================
The axisartist toolkit
======================

.. warning::
   *axisartist* uses a custom Axes class
   (derived from the Matplotlib's original Axes class).
   As a side effect, some commands (mostly tick-related) do not work.

The *axisartist* contains a custom Axes class that is meant to support
curvilinear grids (e.g., the world coordinate system in astronomy).
Unlike Matplotlib's original Axes class which uses Axes.xaxis and Axes.yaxis
to draw ticks, ticklines, etc., axisartist uses a special
artist (AxisArtist) that can handle ticks, ticklines, etc. for
curved coordinate systems.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axis_001.png
   :target: /gallery/axisartist/demo_floating_axis.html
   :align: center

Since it uses special artists, some Matplotlib commands that work on
Axes.xaxis and Axes.yaxis may not work.

.. _axisartist_users-guide-index:

axisartist
==========

The *axisartist* module provides a custom (and very experimental) Axes
class, where each axis (left, right, top, and bottom) have a separate
associated artist which is responsible for drawing the axis-line, ticks,
ticklabels, and labels.  You can also create your own axis, which can pass
through a fixed position in the axes coordinate, or a fixed position
in the data coordinate (i.e., the axis floats around when viewlimit
changes).

The axes class, by default, has its xaxis and yaxis invisible, and
has 4 additional artists which are responsible for drawing the 4 axis spines in
"left", "right", "bottom", and "top".  They are accessed as
ax.axis["left"], ax.axis["right"], and so on, i.e., ax.axis is a
dictionary that contains artists (note that ax.axis is still a
callable method and it behaves as an original Axes.axis method in
Matplotlib).

To create an Axes, ::

  import mpl_toolkits.axisartist as AA
  fig = plt.figure()
  fig.add_axes([0.1, 0.1, 0.8, 0.8], axes_class=AA.Axes)

or to create a subplot ::

  fig.add_subplot(111, axes_class=AA.Axes)
  # Given that 111 is the default, one can also do
  fig.add_subplot(axes_class=AA.Axes)

For example, you can hide the right and top spines using::

  ax.axis["right"].set_visible(False)
  ax.axis["top"].set_visible(False)

.. figure:: /gallery/axisartist/images/sphx_glr_simple_axisline3_001.png
   :target: /gallery/axisartist/simple_axisline3.html
   :align: center

It is also possible to add a horizontal axis. For example, you may have an
horizontal axis at y=0 (in data coordinate). ::

    ax.axis["y=0"] = ax.new_floating_axis(nth_coord=0, value=0)

.. figure:: /gallery/axisartist/images/sphx_glr_simple_axisartist1_001.png
   :target: /gallery/axisartist/simple_axisartist1.html
   :align: center

Or a fixed axis with some offset ::

    # make new (right-side) yaxis, but with some offset
    ax.axis["right2"] = ax.new_fixed_axis(loc="right", offset=(20, 0))

axisartist with ParasiteAxes
----------------------------

Most commands in the axes_grid1 toolkit can take an axes_class keyword
argument, and the commands create an Axes of the given class. For example,
to create a host subplot with axisartist.Axes, ::

  import mpl_toolkits.axisartist as AA
  from mpl_toolkits.axes_grid1 import host_subplot

  host = host_subplot(111, axes_class=AA.Axes)

Here is an example that uses ParasiteAxes.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_parasite_axes2_001.png
   :target: /gallery/axisartist/demo_parasite_axes2.html
   :align: center

Curvilinear Grid
----------------

The motivation behind the AxisArtist module is to support a curvilinear grid
and ticks.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid_001.png
   :target: /gallery/axisartist/demo_curvelinear_grid.html
   :align: center

Floating Axes
-------------

AxisArtist also supports a Floating Axes whose outer axes are defined as
floating axis.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axes_001.png
   :target: /gallery/axisartist/demo_floating_axes.html
   :align: center

axisartist namespace
====================

The *axisartist* namespace includes a derived Axes implementation. The
biggest difference is that the artists responsible to draw axis line,
ticks, ticklabel and axis labels are separated out from the Matplotlib's Axis
class, which are much more than artists in the original Matplotlib. This
change was strongly motivated to support curvilinear grid. Here are a
few things that mpl_toolkits.axisartist.Axes is different from original
Axes from Matplotlib.

* Axis elements (axis line(spine), ticks, ticklabel and axis labels)
  are drawn by a AxisArtist instance. Unlike Axis, left, right, top
  and bottom axis are drawn by separate artists. And each of them may
  have different tick location and different tick labels.

* gridlines are drawn by a Gridlines instance. The change was
  motivated that in curvilinear coordinate, a gridline may not cross
  axis-lines (i.e., no associated ticks). In the original Axes class,
  gridlines are tied to ticks.

* ticklines can be rotated if necessary (i.e, along the gridlines)

In summary, all these changes was to support

* a curvilinear grid.
* a floating axis

.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axis_001.png
   :target: /gallery/axisartist/demo_floating_axis.html
   :align: center

*mpl_toolkits.axisartist.Axes* class defines a *axis* attribute, which
is a dictionary of AxisArtist instances. By default, the dictionary
has 4 AxisArtist instances, responsible for drawing of left, right,
bottom and top axis.

xaxis and yaxis attributes are still available, however they are set
to not visible. As separate artists are used for rendering axis, some
axis-related method in Matplotlib may have no effect.
In addition to AxisArtist instances, the mpl_toolkits.axisartist.Axes will
have *gridlines* attribute (Gridlines), which obviously draws grid
lines.

In both AxisArtist and Gridlines, the calculation of tick and grid
location is delegated to an instance of GridHelper class.
mpl_toolkits.axisartist.Axes class uses GridHelperRectlinear as a grid
helper. The GridHelperRectlinear class is a wrapper around the *xaxis*
and *yaxis* of Matplotlib's original Axes, and it was meant to work as the
way how Matplotlib's original axes works. For example, tick location changes
using set_ticks method and etc. should work as expected. But change in
artist properties (e.g., color) will not work in general, although
some effort has been made so that some often-change attributes (color,
etc.) are respected.

AxisArtist
==========

AxisArtist can be considered as a container artist with following
attributes which will draw ticks, labels, etc.

* line
* major_ticks, major_ticklabels
* minor_ticks, minor_ticklabels
* offsetText
* label

line
----

Derived from Line2D class. Responsible for drawing a spinal(?) line.

major_ticks, minor_ticks
------------------------

Derived from Line2D class. Note that ticks are markers.

major_ticklabels, minor_ticklabels
----------------------------------

Derived from Text. Note that it is not a list of Text artist, but a
single artist (similar to a collection).

axislabel
---------

Derived from Text.

Default AxisArtists
===================

By default, following for axis artists are defined.::

  ax.axis["left"], ax.axis["bottom"], ax.axis["right"], ax.axis["top"]

The ticklabels and axislabel of the top and the right axis are set to
not visible.

For example, if you want to change the color attributes of
major_ticklabels of the bottom x-axis ::

  ax.axis["bottom"].major_ticklabels.set_color("b")

Similarly, to make ticklabels invisible ::

  ax.axis["bottom"].major_ticklabels.set_visible(False)

AxisArtist provides a helper method to control the visibility of ticks,
ticklabels, and label. To make ticklabel invisible, ::

  ax.axis["bottom"].toggle(ticklabels=False)

To make all of ticks, ticklabels, and (axis) label invisible ::

      ax.axis["bottom"].toggle(all=False)

To turn all off but ticks on ::

      ax.axis["bottom"].toggle(all=False, ticks=True)

To turn all on but (axis) label off ::

      ax.axis["bottom"].toggle(all=True, label=False)

ax.axis's __getitem__ method can take multiple axis names. For
example, to turn ticklabels of "top" and "right" axis on, ::

      ax.axis["top", "right"].toggle(ticklabels=True)

Note that ``ax.axis["top", "right"]`` returns a simple proxy object that
translate above code to something like below. ::

      for n in ["top", "right"]:
          ax.axis[n].toggle(ticklabels=True)

So, any return values in the for loop are ignored. And you should not
use it anything more than a simple method.

Like the list indexing ":" means all items, i.e., ::

      ax.axis[:].major_ticks.set_color("r")

changes tick color in all axis.

HowTo
=====

1. Changing tick locations and label.

   Same as the original Matplotlib's axes::

    ax.set_xticks([1, 2, 3])

2. Changing axis properties like color, etc.

   Change the properties of appropriate artists. For example, to change
   the color of the ticklabels::

    ax.axis["left"].major_ticklabels.set_color("r")

3. To change the attributes of multiple axis::

    ax.axis["left", "bottom"].major_ticklabels.set_color("r")

   or to change the attributes of all axis::

    ax.axis[:].major_ticklabels.set_color("r")

4. To change the tick size (length), you need to use
   axis.major_ticks.set_ticksize method. To change the direction of
   the ticks (ticks are in opposite direction of ticklabels by
   default), use axis.major_ticks.set_tick_out method.

   To change the pad between ticks and ticklabels, use
   axis.major_ticklabels.set_pad method.

   To change the pad between ticklabels and axis label,
   axis.label.set_pad method.

Rotation and Alignment of TickLabels
====================================

This is also quite different from standard Matplotlib and can be
confusing. When you want to rotate the ticklabels, first consider
using "set_axis_direction" method. ::

  ax1.axis["left"].major_ticklabels.set_axis_direction("top")
  ax1.axis["right"].label.set_axis_direction("left")

.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_direction01_001.png
   :target: /gallery/axisartist/simple_axis_direction01.html
   :align: center

The parameter for set_axis_direction is one of ["left", "right",
"bottom", "top"].

You must understand some underlying concept of directions.

- There is a reference direction which is defined as the direction
  of the axis line with increasing coordinate.  For example, the
  reference direction of the left x-axis is from bottom to top.

  The direction, text angle, and alignments of the ticks, ticklabels and
  axis-label is determined with respect to the reference direction

- *label_direction* and *ticklabel_direction* are either the right-hand side
  (+) of the reference direction or the left-hand side (-).

- ticks are by default drawn toward the opposite direction of the ticklabels.

- text rotation of ticklabels and label is determined in reference
  to the *ticklabel_direction* or *label_direction*,
  respectively. The rotation of ticklabels and label is anchored.

.. figure:: /gallery/axisartist/images/sphx_glr_axis_direction_001.png
   :target: /gallery/axisartist/axis_direction.html
   :align: center

On the other hand, there is a concept of "axis_direction". This is a
default setting of above properties for each, "bottom", "left", "top",
and "right" axis.

========== =========== ========= ========== ========= ==========
   ?           ?        left      bottom      right      top
---------- ----------- --------- ---------- --------- ----------
axislabel   direction      '-'       '+'        '+'      '-'
axislabel   rotation      180         0          0       180
axislabel   va           center    top       center     bottom
axislabel   ha           right    center      right     center
ticklabel   direction      '-'       '+'        '+'      '-'
ticklabels  rotation       90         0        -90       180
ticklabel   ha           right    center      right     center
ticklabel   va           center   baseline    center   baseline
========== =========== ========= ========== ========= ==========

And, 'set_axis_direction("top")' means to adjust the text rotation
etc, for settings suitable for "top" axis. The concept of axis
direction can be more clear with curved axis.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_axis_direction_001.png
   :target: /gallery/axisartist/demo_axis_direction.html
   :align: center

The axis_direction can be adjusted in the AxisArtist level, or in the
level of its child artists, i.e., ticks, ticklabels, and axis-label. ::

  ax1.axis["left"].set_axis_direction("top")

changes axis_direction of all the associated artist with the "left"
axis, while ::

  ax1.axis["left"].major_ticklabels.set_axis_direction("top")

changes the axis_direction of only the major_ticklabels.  Note that
set_axis_direction in the AxisArtist level changes the
ticklabel_direction and label_direction, while changing the
axis_direction of ticks, ticklabels, and axis-label does not affect
them.

If you want to make ticks outward and ticklabels inside the axes,
use invert_ticklabel_direction method. ::

   ax.axis[:].invert_ticklabel_direction()

A related method is "set_tick_out". It makes ticks outward (as a
matter of fact, it makes ticks toward the opposite direction of the
default direction). ::

   ax.axis[:].major_ticks.set_tick_out(True)

.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_direction03_001.png
   :target: /gallery/axisartist/simple_axis_direction03.html
   :align: center

So, in summary,

* AxisArtist's methods

  - set_axis_direction: "left", "right", "bottom", or "top"
  - set_ticklabel_direction: "+" or "-"
  - set_axislabel_direction: "+" or "-"
  - invert_ticklabel_direction

* Ticks' methods (major_ticks and minor_ticks)

  - set_tick_out: True or False
  - set_ticksize: size in points

* TickLabels' methods (major_ticklabels and minor_ticklabels)

  - set_axis_direction: "left", "right", "bottom", or "top"
  - set_rotation: angle with respect to the reference direction
  - set_ha and set_va: see below

* AxisLabels' methods (label)

  - set_axis_direction: "left", "right", "bottom", or "top"
  - set_rotation: angle with respect to the reference direction
  - set_ha and set_va

Adjusting ticklabels alignment
------------------------------

Alignment of TickLabels are treated specially. See below

.. figure:: /gallery/axisartist/images/sphx_glr_demo_ticklabel_alignment_001.png
   :target: /gallery/axisartist/demo_ticklabel_alignment.html
   :align: center

Adjusting pad
-------------

To change the pad between ticks and ticklabels ::

  ax.axis["left"].major_ticklabels.set_pad(10)

Or ticklabels and axis-label ::

  ax.axis["left"].label.set_pad(10)

.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_pad_001.png
   :target: /gallery/axisartist/simple_axis_pad.html
   :align: center

GridHelper
==========

To actually define a curvilinear coordinate, you have to use your own
grid helper. A generalised version of grid helper class is supplied
and this class should suffice in most of cases. A user may provide
two functions which defines a transformation (and its inverse pair)
from the curved coordinate to (rectilinear) image coordinate. Note that
while ticks and grids are drawn for curved coordinate, the data
transform of the axes itself (ax.transData) is still rectilinear
(image) coordinate. ::

    from mpl_toolkits.axisartist.grid_helper_curvelinear \
         import GridHelperCurveLinear
    from mpl_toolkits.axisartist import Axes

    # from curved coordinate to rectlinear coordinate.
    def tr(x, y):
        x, y = np.asarray(x), np.asarray(y)
        return x, y-x

    # from rectlinear coordinate to curved coordinate.
    def inv_tr(x, y):
        x, y = np.asarray(x), np.asarray(y)
        return x, y+x

    grid_helper = GridHelperCurveLinear((tr, inv_tr))

    fig.add_subplot(axes_class=Axes, grid_helper=grid_helper)

You may use Matplotlib's Transform instance instead (but a
inverse transformation must be defined). Often, coordinate range in a
curved coordinate system may have a limited range, or may have
cycles. In those cases, a more customized version of grid helper is
required. ::

    import mpl_toolkits.axisartist.angle_helper as angle_helper

    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
    # system in degree
    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()

    # extreme finder: find a range of coordinate.
    # 20, 20: number of sampling points along x, y direction
    # The first coordinate (longitude, but theta in polar)
    #   has a cycle of 360 degree.
    # The second coordinate (latitude, but radius in polar)  has a minimum of 0
    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
                                                     lon_cycle=360,
                                                     lat_cycle=None,
                                                     lon_minmax=None,
                                                     lat_minmax=(0, np.inf),
                                                     )

    # Find a grid values appropriate for the coordinate (degree,
    # minute, second). The argument is a approximate number of grids.
    grid_locator1 = angle_helper.LocatorDMS(12)

    # And also uses an appropriate formatter.  Note that the acceptable Locator
    # and Formatter classes are different than that of Matplotlib's, and you
    # cannot directly use Matplotlib's Locator and Formatter here (but may be
    # possible in the future).
    tick_formatter1 = angle_helper.FormatterDMS()

    grid_helper = GridHelperCurveLinear(tr,
                                        extreme_finder=extreme_finder,
                                        grid_locator1=grid_locator1,
                                        tick_formatter1=tick_formatter1
                                        )

Again, the *transData* of the axes is still a rectilinear coordinate
(image coordinate). You may manually do conversion between two
coordinates, or you may use Parasite Axes for convenience.::

    ax1 = SubplotHost(fig, 1, 2, 2, grid_helper=grid_helper)

    # A parasite axes with given transform
    ax2 = ax1.get_aux_axes(tr, "equal")
    # note that ax2.transData == tr + ax1.transData
    # Anything you draw in ax2 will match the ticks and grids of ax1.

.. figure:: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid_001.png
   :target: /gallery/axisartist/demo_curvelinear_grid.html
   :align: center

FloatingAxis
============

A floating axis is an axis one of whose data coordinate is fixed, i.e,
its location is not fixed in Axes coordinate but changes as axes data
limits changes. A floating axis can be created using
*new_floating_axis* method. However, it is your responsibility that
the resulting AxisArtist is properly added to the axes. A recommended
way is to add it as an item of Axes's axis attribute.::

    # floating axis whose first (index starts from 0) coordinate
    # (theta) is fixed at 60

    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
    axis.label.set_text(r"$\theta = 60^{\circ}$")
    axis.label.set_visible(True)

See the first example of this page.

Current Limitations and TODO's
==============================

The code need more refinement. Here is a incomplete list of issues and TODO's

* No easy way to support a user customized tick location (for
  curvilinear grid). A new Locator class needs to be created.

* FloatingAxis may have coordinate limits, e.g., a floating axis of x = 0,
  but y only spans from 0 to 1.

* The location of axislabel of FloatingAxis needs to be optionally
  given as a coordinate value. ex, a floating axis of x=0 with label at y=1
