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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<title>Overview of axes_grid1 toolkit — Matplotlib 2.0.2.post4416.dev0+g1df513f documentation</title>

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<h3><a href="../../contents.html">Table Of Contents</a></h3>

<ul>

<li><a class="reference internal" href="#">Overview of axes_grid1 toolkit</a><ul>

<li><a class="reference internal" href="#what-is-axes-grid1-toolkit">What is axes_grid1 toolkit?</a></li>

<li><a class="reference internal" href="#imagegrid">ImageGrid</a></li>

<li><a class="reference internal" href="#axesdivider-class">AxesDivider Class</a></li>

<li><a class="reference internal" href="#colorbar-whose-height-or-width-in-sync-with-the-master-axes">colorbar whose height (or width) in sync with the master axes</a><ul>

<li><a class="reference internal" href="#scatter-hist-py-with-axesdivider">scatter_hist.py with AxesDivider</a></li>

</ul>

</li>

<li><a class="reference internal" href="#parasiteaxes">ParasiteAxes</a><ul>

<li><a class="reference internal" href="#example-1-twinx">Example 1. twinx</a></li>

<li><a class="reference internal" href="#example-2-twin">Example 2. twin</a></li>

</ul>

</li>

<li><a class="reference internal" href="#anchoredartists">AnchoredArtists</a></li>

<li><a class="reference internal" href="#insetlocator">InsetLocator</a><ul>

</ul>

</li>

</ul>

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<li><a class="reference internal" href="#axesdivider">AxesDivider</a></li>

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<span id="sphx-glr-tutorials-toolkits-axes-grid-py"></span><h1>Overview of axes_grid1 toolkit<a class="headerlink" href="#overview-of-axes-grid1-toolkit" title="Permalink to this headline">¶</a></h1>

<p>Controlling the layout of plots with the axes_grid toolkit.</p>

<span id="axes-grid1-users-guide-index"></span><h2>What is axes_grid1 toolkit?<a class="headerlink" href="#what-is-axes-grid1-toolkit" title="Permalink to this headline">¶</a></h2>

<p><em>axes_grid1</em> is a collection of helper classes to ease displaying

(multiple) images with matplotlib. In matplotlib, the axes location

(and size) is specified in the normalized figure coordinates, which

may not be ideal for displaying images that needs to have a given

aspect ratio. For example, it helps if you have a colorbar whose

height always matches that of the image. <a class="reference internal" href="#imagegrid">ImageGrid</a>, <a class="reference internal" href="#rgb-axes">RGB Axes</a> and

<a class="reference internal" href="#axesdivider">AxesDivider</a> are helper classes that deals with adjusting the

location of (multiple) Axes. They provides a framework to adjust the

position of multiple axes at the drawing time. <a class="reference internal" href="#parasiteaxes">ParasiteAxes</a>

provides twinx(or twiny)-like features so that you can plot different

data (e.g., different y-scale) in a same Axes. <a class="reference internal" href="#anchoredartists">AnchoredArtists</a>

includes custom artists which are placed at some anchored position,

like the legend.</p>

</div>

<h3>ImageGrid<a class="headerlink" href="#imagegrid" title="Permalink to this headline">¶</a></h3>

<p>A class that creates a grid of Axes. In matplotlib, the axes location

(and size) is specified in the normalized figure coordinates. This may

not be ideal for images that needs to be displayed with a given aspect

ratio. For example, displaying images of a same size with some fixed

padding between them cannot be easily done in matplotlib. ImageGrid is

used in such case.</p>

<p class="caption"><span class="caption-text">Simple Axesgrid</span></p>

</div>

<ul>

<li><p class="first">The position of each axes is determined at the drawing time (see

<a class="reference internal" href="#axesdivider">AxesDivider</a>), so that the size of the entire grid fits in the

given rectangle (like the aspect of axes). Note that in this example,

the paddings between axes are fixed even if you changes the figure

size.</p>

</li>

<li><p class="first">axes in the same column has a same axes width (in figure

coordinate), and similarly, axes in the same row has a same

height. The widths (height) of the axes in the same row (column) are

scaled according to their view limits (xlim or ylim).</p>

<p class="caption"><span class="caption-text">Simple Axes Grid</span></p>

</div>

</li>

<li><p class="first">xaxis are shared among axes in a same column. Similarly, yaxis are

shared among axes in a same row. Therefore, changing axis properties

(view limits, tick location, etc. either by plot commands or using

your mouse in interactive backends) of one axes will affect all

other shared axes.</p>

</li>

</ul>

<p>When initialized, ImageGrid creates given number (<em>ngrids</em> or <em>ncols</em> *

<em>nrows</em> if <em>ngrids</em> is None) of Axes instances. A sequence-like

interface is provided to access the individual Axes instances (e.g.,

grid[0] is the first Axes in the grid. See below for the order of

axes).</p>

<p>ImageGrid takes following arguments,</p>

</colgroup>

<th class="head">Default</th>

<th class="head">Description</th>

</tr>

</thead>

</tr>

</tr>

<tr class="row-even"><td>nrows_ncols</td>

<td>number of rows and cols. e.g., (2,2)</td>

</tr>

<tr class="row-odd"><td>ngrids</td>

<td>number of grids. nrows x ncols if None</td>

</tr>

<tr class="row-even"><td>direction</td>

<td>increasing direction of axes number. [row|column]</td>

</tr>

<td>pad between axes in inches</td>

</tr>

<td>Add axes to figures if True</td>

</tr>

<tr class="row-odd"><td>share_all</td>

<td>False</td>

<td>xaxis & yaxis of all axes are shared if True</td>

</tr>

<tr class="row-even"><td>aspect</td>

<td>aspect of axes</td>

</tr>

<tr class="row-odd"><td>label_mode</td>

<td>location of tick labels thaw will be displayed.

“1” (only the lower left axes),

“L” (left most and bottom most axes),

or “all”.</td>

</tr>

<td>[None|single|each]</td>

</tr>

<tr class="row-odd"><td>cbar_location</td>

<td>“right”</td>

<td>[right|top]</td>

</tr>

<td>pad between image axes and colorbar axes</td>

</tr>

<td>size of the colorbar</td>

</tr>

<tr class="row-even"><td>axes_class</td>

</tr>

</tbody>

</table>

<dd>specifies the location of the grid. You can either specify

coordinates of the rectangle to be used (e.g., (0.1, 0.1, 0.8, 0.8)

as in the Axes), or the subplot-like position (e.g., “121”).</dd>

<dt><em>direction</em></dt>

<dd>means the increasing direction of the axes number.</dd>

<dt><em>aspect</em></dt>

<dd>By default (False), widths and heights of axes in the grid are

scaled independently. If True, they are scaled according to their

data limits (similar to aspect parameter in mpl).</dd>

<dt><em>share_all</em></dt>

<dd>if True, xaxis and yaxis of all axes are shared.</dd>

<dt><em>direction</em></dt>

<dd><p class="first">direction of increasing axes number. For “row”,</p>

</colgroup>

</tr>

</tr>

</tbody>

</table>

</div></blockquote>

<p>For “column”,</p>

</colgroup>

</tr>

</tr>

</tbody>

</table>

</div></blockquote>

</dd>

</dl>

</div></blockquote>

<p>You can also create a colorbar (or colorbars). You can have colorbar

for each axes (cbar_mode=”each”), or you can have a single colorbar

for the grid (cbar_mode=”single”). The colorbar can be placed on your

right, or top. The axes for each colorbar is stored as a <em>cbar_axes</em>

attribute.</p>

<p>The examples below show what you can do with ImageGrid.</p>

</div>

<h3>AxesDivider Class<a class="headerlink" href="#axesdivider-class" title="Permalink to this headline">¶</a></h3>

<p>Behind the scene, the ImageGrid class and the RGBAxes class utilize the

AxesDivider class, whose role is to calculate the location of the axes

at drawing time. While a more about the AxesDivider is (will be)

explained in (yet to be written) AxesDividerGuide, direct use of the

AxesDivider class will not be necessary for most users. The

axes_divider module provides a helper function make_axes_locatable,

which can be useful. It takes a existing axes instance and create a

divider for it.</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax</span> <span class="o">=</span> <span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>

<span class="n">divider</span> <span class="o">=</span> <span class="n">make_axes_locatable</span><span class="p">(</span><span class="n">ax</span><span class="p">)</span>

</pre></div>

</div>

<p><em>make_axes_locatable</em> returns an instance of the AxesLocator class,

derived from the Locator. It provides <em>append_axes</em> method that

creates a new axes on the given side of (“top”, “right”, “bottom” and

“left”) of the original axes.</p>

</div>

<h3>colorbar whose height (or width) in sync with the master axes<a class="headerlink" href="#colorbar-whose-height-or-width-in-sync-with-the-master-axes" title="Permalink to this headline">¶</a></h3>

<p class="caption"><span class="caption-text">Simple Colorbar</span></p>

</div>

<h4>scatter_hist.py with AxesDivider<a class="headerlink" href="#scatter-hist-py-with-axesdivider" title="Permalink to this headline">¶</a></h4>

<p>The “scatter_hist.py” example in mpl can be rewritten using

<em>make_axes_locatable</em>.</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">axScatter</span> <span class="o">=</span> <span class="n">subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">)</span>

<span class="n">axScatter</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>

<span class="n">axScatter</span><span class="o">.</span><span class="n">set_aspect</span><span class="p">(</span><span class="mf">1.</span><span class="p">)</span>

<span class="c1"># create new axes on the right and on the top of the current axes.</span>

<span class="n">divider</span> <span class="o">=</span> <span class="n">make_axes_locatable</span><span class="p">(</span><span class="n">axScatter</span><span class="p">)</span>

<span class="n">axHistx</span> <span class="o">=</span> <span class="n">divider</span><span class="o">.</span><span class="n">append_axes</span><span class="p">(</span><span class="s2">"top"</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="n">axScatter</span><span class="p">)</span>

<span class="n">axHisty</span> <span class="o">=</span> <span class="n">divider</span><span class="o">.</span><span class="n">append_axes</span><span class="p">(</span><span class="s2">"right"</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mf">1.2</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="n">axScatter</span><span class="p">)</span>

<span class="c1"># the scatter plot:</span>

<span class="c1"># histograms</span>

<span class="n">bins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="n">lim</span><span class="p">,</span> <span class="n">lim</span> <span class="o">+</span> <span class="n">binwidth</span><span class="p">,</span> <span class="n">binwidth</span><span class="p">)</span>

<span class="n">axHistx</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">)</span>

<span class="n">axHisty</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>

</pre></div>

</div>

<p>See the full source code below.</p>

<p class="caption"><span class="caption-text">Scatter Hist</span></p>

</div>

<p>The scatter_hist using the AxesDivider has some advantage over the

original scatter_hist.py in mpl. For example, you can set the aspect

ratio of the scatter plot, even with the x-axis or y-axis is shared

accordingly.</p>

</div>

<h3>ParasiteAxes<a class="headerlink" href="#parasiteaxes" title="Permalink to this headline">¶</a></h3>

<p>The ParasiteAxes is an axes whose location is identical to its host

axes. The location is adjusted in the drawing time, thus it works even

if the host change its location (e.g., images).</p>

<p>In most cases, you first create a host axes, which provides a few

method that can be used to create parasite axes. They are <em>twinx</em>,

<em>twiny</em> (which are similar to twinx and twiny in the matplotlib) and

<em>twin</em>. <em>twin</em> takes an arbitrary transformation that maps between the

data coordinates of the host axes and the parasite axes. <em>draw</em>

method of the parasite axes are never called. Instead, host axes

collects artists in parasite axes and draw them as if they belong to

the host axes, i.e., artists in parasite axes are merged to those of

the host axes and then drawn according to their zorder. The host and

parasite axes modifies some of the axes behavior. For example, color

cycle for plot lines are shared between host and parasites. Also, the

legend command in host, creates a legend that includes lines in the

parasite axes. To create a host axes, you may use <em>host_suplot</em> or

<em>host_axes</em> command.</p>

<h4>Example 1. twinx<a class="headerlink" href="#example-1-twinx" title="Permalink to this headline">¶</a></h4>

<p class="caption"><span class="caption-text">Parasite Simple</span></p>

</div>

<h4>Example 2. twin<a class="headerlink" href="#example-2-twin" title="Permalink to this headline">¶</a></h4>

<p><em>twin</em> without a transform argument assumes that the parasite axes has the

same data transform as the host. This can be useful when you want the

top(or right)-axis to have different tick-locations, tick-labels, or

tick-formatter for bottom(or left)-axis.</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax2</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">twin</span><span class="p">()</span> <span class="c1"># now, ax2 is responsible for "top" axis and "right" axis</span>

<span class="n">ax2</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">([</span><span class="mf">0.</span><span class="p">,</span> <span class="o">.</span><span class="mi">5</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span> <span class="mf">1.5</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span> <span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">])</span>

<span class="n">ax2</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">([</span><span class="s2">"0"</span><span class="p">,</span> <span class="s2">r"$ rac</span><span class="si">{1}{2}</span><span class="s2">\pi$"</span><span class="p">,</span>

</pre></div>

</div>

<p class="caption"><span class="caption-text">Simple Axisline4</span></p>

</div>

<p>A more sophisticated example using twin. Note that if you change the

x-limit in the host axes, the x-limit of the parasite axes will change

accordingly.</p>

<p class="caption"><span class="caption-text">Parasite Simple2</span></p>

</div>

<h3>AnchoredArtists<a class="headerlink" href="#anchoredartists" title="Permalink to this headline">¶</a></h3>

<p>It’s a collection of artists whose location is anchored to the (axes)

bbox, like the legend. It is derived from <em>OffsetBox</em> in mpl, and

artist need to be drawn in the canvas coordinate. But, there is a

limited support for an arbitrary transform. For example, the ellipse

in the example below will have width and height in the data

coordinate.</p>

<p class="caption"><span class="caption-text">Simple Anchored Artists</span></p>

</div>

<h3>InsetLocator<a class="headerlink" href="#insetlocator" title="Permalink to this headline">¶</a></h3>

<p><code class="xref py py-mod docutils literal"><span class="pre">mpl_toolkits.axes_grid1.inset_locator</span></code> provides helper classes

and functions to place your (inset) axes at the anchored position of

the parent axes, similarly to AnchoredArtist.</p>

<p>Using <code class="xref py py-func docutils literal"><span class="pre">mpl_toolkits.axes_grid1.inset_locator.inset_axes()</span></code>, you

can have inset axes whose size is either fixed, or a fixed proportion

of the parent axes. For example,:</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">inset_axes</span> <span class="o">=</span> <span class="n">inset_axes</span><span class="p">(</span><span class="n">parent_axes</span><span class="p">,</span>

<span class="n">width</span><span class="o">=</span><span class="s2">"30%"</span><span class="p">,</span> <span class="c1"># width = 30% of parent_bbox</span>

<span class="n">height</span><span class="o">=</span><span class="mf">1.</span><span class="p">,</span> <span class="c1"># height : 1 inch</span>

</pre></div>

</div>

<p>creates an inset axes whose width is 30% of the parent axes and whose

height is fixed at 1 inch.</p>

<p>You may creates your inset whose size is determined so that the data

scale of the inset axes to be that of the parent axes multiplied by

some factor. For example,</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">inset_axes</span> <span class="o">=</span> <span class="n">zoomed_inset_axes</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span>

</pre></div>

</div>

<p>creates an inset axes whose data scale is half of the parent axes.

Here is complete examples.</p>

<p class="caption"><span class="caption-text">Inset Locator Demo</span></p>

</div>

<p>For example, <code class="xref py py-func docutils literal"><span class="pre">zoomed_inset_axes()</span></code> can be used when you want the

inset represents the zoom-up of the small portion in the parent axes.

And <code class="xref py py-mod docutils literal"><span class="pre">mpl_toolkits/axes_grid/inset_locator</span></code> provides a helper

function <code class="xref py py-func docutils literal"><span class="pre">mark_inset()</span></code> to mark the location of the area

represented by the inset axes.</p>

<p class="caption"><span class="caption-text">Inset Locator Demo2</span></p>

</div>

<p>RGBAxes is a helper class to conveniently show RGB composite

images. Like ImageGrid, the location of axes are adjusted so that the

area occupied by them fits in a given rectangle. Also, the xaxis and

yaxis of each axes are shared.</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">mpl_toolkits.axes_grid1.axes_rgb</span> <span class="k">import</span> <span class="n">RGBAxes</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>

<span class="n">ax</span> <span class="o">=</span> <span class="n">RGBAxes</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="p">[</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">])</span>

<span class="n">r</span><span class="p">,</span> <span class="n">g</span><span class="p">,</span> <span class="n">b</span> <span class="o">=</span> <span class="n">get_rgb</span><span class="p">()</span> <span class="c1"># r,g,b are 2-d images</span>

<span class="n">ax</span><span class="o">.</span><span class="n">imshow_rgb</span><span class="p">(</span><span class="n">r</span><span class="p">,</span> <span class="n">g</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span>

<span class="n">origin</span><span class="o">=</span><span class="s2">"lower"</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">"nearest"</span><span class="p">)</span>

</pre></div>

</div>

<p class="caption"><span class="caption-text">Simple Rgb</span></p>

</div>

<h2>AxesDivider<a class="headerlink" href="#axesdivider" title="Permalink to this headline">¶</a></h2>

<p>The axes_divider module provides helper classes to adjust the axes

positions of a set of images at drawing time.</p>

<li><code class="xref py py-mod docutils literal"><span class="pre">axes_size</span></code> provides a class of

units that are used to determine the size of each axes. For example,

you can specify a fixed size.</li>

<li><code class="xref py py-class docutils literal"><span class="pre">Divider</span></code> is the class

that calculates the axes position. It divides the given

rectangular area into several areas. The divider is initialized by

setting the lists of horizontal and vertical sizes on which the division

will be based. Then use

<code class="xref py py-meth docutils literal"><span class="pre">new_locator()</span></code>,

which returns a callable object that can be used to set the

axes_locator of the axes.</li>

</ul>

<p>First, initialize the divider by specifying its grids, i.e.,

horizontal and vertical.</p>

<p>for example,:</p>

<span class="n">horiz</span><span class="o">=</span><span class="p">[</span><span class="n">h0</span><span class="p">,</span> <span class="n">h1</span><span class="p">,</span> <span class="n">h2</span><span class="p">,</span> <span class="n">h3</span><span class="p">]</span>

<span class="n">divider</span> <span class="o">=</span> <span class="n">Divider</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">rect</span><span class="p">,</span> <span class="n">horiz</span><span class="p">,</span> <span class="n">vert</span><span class="p">)</span>

</pre></div>

</div>

<p>where, rect is a bounds of the box that will be divided and h0,..h3,

v0,..v2 need to be an instance of classes in the

<code class="xref py py-mod docutils literal"><span class="pre">axes_size</span></code>. They have <em>get_size</em> method

that returns a tuple of two floats. The first float is the relative

size, and the second float is the absolute size. Consider a following

grid.</p>

</colgroup>

</tr>

</tr>

</tr>

</tbody>

</table>

</ul>

<p>The height of the bottom row is always 2 (axes_divider internally

assumes that the unit is inches). The first and the second rows have a

height ratio of 2:3. For example, if the total height of the grid is 6,

then the first and second row will each occupy 2/(2+3) and 3/(2+3) of

(6-1) inches. The widths of the horizontal columns will be similarly

determined. When the aspect ratio is set, the total height (or width) will

be adjusted accordingly.</p>

<p>The <code class="xref py py-mod docutils literal"><span class="pre">mpl_toolkits.axes_grid1.axes_size</span></code> contains several classes

that can be used to set the horizontal and vertical configurations. For

example, for vertical configuration one could use:</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">mpl_toolkits.axes_grid1.axes_size</span> <span class="k">import</span> <span class="n">Fixed</span><span class="p">,</span> <span class="n">Scaled</span>

<span class="n">vert</span> <span class="o">=</span> <span class="p">[</span><span class="n">Fixed</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">Scaled</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">Scaled</span><span class="p">(</span><span class="mi">3</span><span class="p">)]</span>

</pre></div>

</div>

<p>After you set up the divider object, then you create a locator

instance that will be given to the axes object.:</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">locator</span> <span class="o">=</span> <span class="n">divider</span><span class="o">.</span><span class="n">new_locator</span><span class="p">(</span><span class="n">nx</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">ny</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_axes_locator</span><span class="p">(</span><span class="n">locator</span><span class="p">)</span>

</pre></div>

</div>

<p>The return value of the new_locator method is an instance of the

AxesLocator class. It is a callable object that returns the

location and size of the cell at the first column and the second row.

You may create a locator that spans over multiple cells.:</p>

<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">locator</span> <span class="o">=</span> <span class="n">divider</span><span class="o">.</span><span class="n">new_locator</span><span class="p">(</span><span class="n">nx</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">nx</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">ny</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

</pre></div>

</div>

<p>The above locator, when called, will return the position and size of

the cells spanning the first and second column and the first row. In

this example, it will return [0:2, 1].</p>

<p>See the example,</p>

<p class="caption"><span class="caption-text">Simple Axes Divider2</span></p>

</div>

<p>You can adjust the size of each axes according to its x or y

data limits (AxesX and AxesY).</p>

<p class="caption"><span class="caption-text">Simple Axes Divider3</span></p>

</div>

<p><strong>Total running time of the script:</strong> ( 0 minutes 0.000 seconds)</p>

<a class="reference download internal" href="../../_downloads/axes_grid.py" download=""><code class="xref download docutils literal"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">axes_grid.py</span></code></a></div>

<a class="reference download internal" href="../../_downloads/axes_grid.ipynb" download=""><code class="xref download docutils literal"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">axes_grid.ipynb</span></code></a></div>

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