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<li><a class="reference internal" href="#tick-locating-and-formatting">Tick locating and formatting</a><ul>
<li><a class="reference internal" href="#tick-locating">Tick locating</a></li>
<li><a class="reference internal" href="#tick-formatting">Tick formatting</a></li>
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<div class="section" id="module-matplotlib.ticker">
<span id="matplotlib-ticker"></span><h1><code class="docutils literal notranslate"><span class="pre">matplotlib.ticker</span></code><a class="headerlink" href="#module-matplotlib.ticker" title="Permalink to this headline">¶</a></h1>
<div class="section" id="tick-locating-and-formatting">
<h2>Tick locating and formatting<a class="headerlink" href="#tick-locating-and-formatting" title="Permalink to this headline">¶</a></h2>
<p>This module contains classes for configuring tick locating and formatting.
Generic tick locators and formatters are provided, as well as domain specific
custom ones.</p>
<p>Although the locators know nothing about major or minor ticks, they are used
by the Axis class to support major and minor tick locating and formatting.</p>
<div class="section" id="tick-locating">
<h3>Tick locating<a class="headerlink" href="#tick-locating" title="Permalink to this headline">¶</a></h3>
<p>The Locator class is the base class for all tick locators. The locators
handle autoscaling of the view limits based on the data limits, and the
choosing of tick locations. A useful semi-automatic tick locator is
<a class="reference internal" href="#matplotlib.ticker.MultipleLocator" title="matplotlib.ticker.MultipleLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultipleLocator</span></code></a>. It is initialized with a base, e.g., 10, and it picks
axis limits and ticks that are multiples of that base.</p>
<p>The Locator subclasses defined here are</p>
<dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.ticker.AutoLocator" title="matplotlib.ticker.AutoLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">AutoLocator</span></code></a></dt><dd><a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MaxNLocator</span></code></a> with simple defaults. This is the default tick locator for
most plotting.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MaxNLocator</span></code></a></dt><dd>Finds up to a max number of intervals with ticks at nice locations.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LinearLocator" title="matplotlib.ticker.LinearLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearLocator</span></code></a></dt><dd>Space ticks evenly from min to max.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogLocator" title="matplotlib.ticker.LogLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogLocator</span></code></a></dt><dd>Space ticks logarithmically from min to max.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.MultipleLocator" title="matplotlib.ticker.MultipleLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">MultipleLocator</span></code></a></dt><dd>Ticks and range are a multiple of base; either integer or float.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.FixedLocator" title="matplotlib.ticker.FixedLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">FixedLocator</span></code></a></dt><dd>Tick locations are fixed.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.IndexLocator" title="matplotlib.ticker.IndexLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">IndexLocator</span></code></a></dt><dd>Locator for index plots (e.g., where <code class="docutils literal notranslate"><span class="pre">x</span> <span class="pre">=</span> <span class="pre">range(len(y))</span></code>).</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.NullLocator" title="matplotlib.ticker.NullLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">NullLocator</span></code></a></dt><dd>No ticks.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.SymmetricalLogLocator" title="matplotlib.ticker.SymmetricalLogLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">SymmetricalLogLocator</span></code></a></dt><dd>Locator for use with with the symlog norm; works like <a class="reference internal" href="#matplotlib.ticker.LogLocator" title="matplotlib.ticker.LogLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LogLocator</span></code></a> for the
part outside of the threshold and adds 0 if inside the limits.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogitLocator" title="matplotlib.ticker.LogitLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogitLocator</span></code></a></dt><dd>Locator for logit scaling.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.OldAutoLocator" title="matplotlib.ticker.OldAutoLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">OldAutoLocator</span></code></a></dt><dd>Choose a <a class="reference internal" href="#matplotlib.ticker.MultipleLocator" title="matplotlib.ticker.MultipleLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultipleLocator</span></code></a> and dynamically reassign it for intelligent
ticking during navigation.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.AutoMinorLocator" title="matplotlib.ticker.AutoMinorLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">AutoMinorLocator</span></code></a></dt><dd>Locator for minor ticks when the axis is linear and the
major ticks are uniformly spaced. Subdivides the major
tick interval into a specified number of minor intervals,
defaulting to 4 or 5 depending on the major interval.</dd>
</dl>
<p>There are a number of locators specialized for date locations - see
the <a class="reference internal" href="dates_api.html#module-matplotlib.dates" title="matplotlib.dates"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dates</span></code></a> module.</p>
<p>You can define your own locator by deriving from Locator. You must
override the <code class="docutils literal notranslate"><span class="pre">__call__</span></code> method, which returns a sequence of locations,
and you will probably want to override the autoscale method to set the
view limits from the data limits.</p>
<p>If you want to override the default locator, use one of the above or a custom
locator and pass it to the x or y axis instance. The relevant methods are:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">xmajor_locator</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_minor_locator</span><span class="p">(</span><span class="n">xminor_locator</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">ymajor_locator</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_minor_locator</span><span class="p">(</span><span class="n">yminor_locator</span><span class="p">)</span>
</pre></div>
</div>
<p>The default minor locator is <a class="reference internal" href="#matplotlib.ticker.NullLocator" title="matplotlib.ticker.NullLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NullLocator</span></code></a>, i.e., no minor ticks on by default.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p><a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Locator</span></code></a> instances should not be used with more than one
<a class="reference internal" href="axis_api.html#matplotlib.axis.Axis" title="matplotlib.axis.Axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axis</span></code></a> or <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes</span></code></a>. So instead of:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">locator</span> <span class="o">=</span> <span class="n">MultipleLocator</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">locator</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">locator</span><span class="p">)</span>
</pre></div>
</div>
<p>do the following instead:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">MultipleLocator</span><span class="p">(</span><span class="mi">5</span><span class="p">))</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">MultipleLocator</span><span class="p">(</span><span class="mi">5</span><span class="p">))</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="tick-formatting">
<h3>Tick formatting<a class="headerlink" href="#tick-formatting" title="Permalink to this headline">¶</a></h3>
<p>Tick formatting is controlled by classes derived from Formatter. The formatter
operates on a single tick value and returns a string to the axis.</p>
<dl class="docutils">
<dt><a class="reference internal" href="#matplotlib.ticker.NullFormatter" title="matplotlib.ticker.NullFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">NullFormatter</span></code></a></dt><dd>No labels on the ticks.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.IndexFormatter" title="matplotlib.ticker.IndexFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">IndexFormatter</span></code></a></dt><dd>Set the strings from a list of labels.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.FixedFormatter" title="matplotlib.ticker.FixedFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">FixedFormatter</span></code></a></dt><dd>Set the strings manually for the labels.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.FuncFormatter" title="matplotlib.ticker.FuncFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">FuncFormatter</span></code></a></dt><dd>User defined function sets the labels.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.StrMethodFormatter" title="matplotlib.ticker.StrMethodFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">StrMethodFormatter</span></code></a></dt><dd>Use string <a class="reference external" href="https://docs.python.org/3/library/functions.html#format" title="(in Python v3.9)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format</span></code></a> method.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.FormatStrFormatter" title="matplotlib.ticker.FormatStrFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">FormatStrFormatter</span></code></a></dt><dd>Use an old-style sprintf format string.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">ScalarFormatter</span></code></a></dt><dd>Default formatter for scalars: autopick the format string.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogFormatter" title="matplotlib.ticker.LogFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogFormatter</span></code></a></dt><dd>Formatter for log axes.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogFormatterExponent" title="matplotlib.ticker.LogFormatterExponent"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogFormatterExponent</span></code></a></dt><dd>Format values for log axis using <code class="docutils literal notranslate"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogFormatterMathtext" title="matplotlib.ticker.LogFormatterMathtext"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogFormatterMathtext</span></code></a></dt><dd>Format values for log axis using <code class="docutils literal notranslate"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>
using Math text.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogFormatterSciNotation" title="matplotlib.ticker.LogFormatterSciNotation"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogFormatterSciNotation</span></code></a></dt><dd>Format values for log axis using scientific notation.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogitFormatter" title="matplotlib.ticker.LogitFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogitFormatter</span></code></a></dt><dd>Probability formatter.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.EngFormatter" title="matplotlib.ticker.EngFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">EngFormatter</span></code></a></dt><dd>Format labels in engineering notation.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.PercentFormatter" title="matplotlib.ticker.PercentFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PercentFormatter</span></code></a></dt><dd>Format labels as a percentage.</dd>
</dl>
<p>You can derive your own formatter from the Formatter base class by
simply overriding the <code class="docutils literal notranslate"><span class="pre">__call__</span></code> method. The formatter class has
access to the axis view and data limits.</p>
<p>To control the major and minor tick label formats, use one of the
following methods:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">xmajor_formatter</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_minor_formatter</span><span class="p">(</span><span class="n">xminor_formatter</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">ymajor_formatter</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_minor_formatter</span><span class="p">(</span><span class="n">yminor_formatter</span><span class="p">)</span>
</pre></div>
</div>
<p>In addition to a <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Formatter</span></code></a> instance, <a class="reference internal" href="_as_gen/matplotlib.axis.Axis.set_major_formatter.html#matplotlib.axis.Axis.set_major_formatter" title="matplotlib.axis.Axis.set_major_formatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_major_formatter</span></code></a> and
<a class="reference internal" href="_as_gen/matplotlib.axis.Axis.set_minor_formatter.html#matplotlib.axis.Axis.set_minor_formatter" title="matplotlib.axis.Axis.set_minor_formatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_minor_formatter</span></code></a> also accept a <code class="docutils literal notranslate"><span class="pre">str</span></code> or function. <code class="docutils literal notranslate"><span class="pre">str</span></code> input
will be internally replaced with an autogenerated <a class="reference internal" href="#matplotlib.ticker.StrMethodFormatter" title="matplotlib.ticker.StrMethodFormatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StrMethodFormatter</span></code></a> with
the input <code class="docutils literal notranslate"><span class="pre">str</span></code>. For function input, a <a class="reference internal" href="#matplotlib.ticker.FuncFormatter" title="matplotlib.ticker.FuncFormatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FuncFormatter</span></code></a> with the input
function will be generated and used.</p>
<p>See <a class="reference internal" href="../gallery/ticks_and_spines/major_minor_demo.html"><span class="doc">Major and minor ticks</span></a> for an
example of setting major and minor ticks. See the <a class="reference internal" href="dates_api.html#module-matplotlib.dates" title="matplotlib.dates"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.dates</span></code></a>
module for more information and examples of using date locators and formatters.</p>
<dl class="py class">
<dt id="matplotlib.ticker.AutoLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">AutoLocator</code><a class="reference internal" href="../_modules/matplotlib/ticker.html#AutoLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.AutoLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.MaxNLocator</span></code></a></p>
<p>Dynamically find major tick positions. This is actually a subclass
of <a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MaxNLocator</span></code></a>, with parameters <em>nbins = 'auto'</em>
and <em>steps = [1, 2, 2.5, 5, 10]</em>.</p>
<p>To know the values of the non-public parameters, please have a
look to the defaults of <a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MaxNLocator</span></code></a>.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.AutoMinorLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">AutoMinorLocator</code><span class="sig-paren">(</span><em><span class="n">n</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#AutoMinorLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.AutoMinorLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>Dynamically find minor tick positions based on the positions of
major ticks. The scale must be linear with major ticks evenly spaced.</p>
<p><em>n</em> is the number of subdivisions of the interval between
major ticks; e.g., n=2 will place a single minor tick midway
between major ticks.</p>
<p>If <em>n</em> is omitted or None, it will be set to 5 or 4.</p>
<dl class="py method">
<dt id="matplotlib.ticker.AutoMinorLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#AutoMinorLocator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.AutoMinorLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the located ticks given <strong>vmin</strong> and <strong>vmax</strong>.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>To get tick locations with the vmin and vmax values defined
automatically for the associated <code class="xref py py-attr docutils literal notranslate"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">loc</span><span class="p">))</span>
<span class="go"><type 'Locator'></span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">loc</span><span class="p">())</span>
<span class="go">[1, 2, 3, 4]</span>
</pre></div>
</div>
</div>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.EngFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">EngFormatter</code><span class="sig-paren">(</span><em><span class="n">unit</span><span class="o">=</span><span class="default_value">''</span></em>, <em><span class="n">places</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">sep</span><span class="o">=</span><span class="default_value">' '</span></em>, <em><span class="o">*</span></em>, <em><span class="n">usetex</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">useMathText</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Format axis values using engineering prefixes to represent powers
of 1000, plus a specified unit, e.g., 10 MHz instead of 1e7.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>unit</strong><span class="classifier">str, default: ""</span></dt><dd><p>Unit symbol to use, suitable for use with single-letter
representations of powers of 1000. For example, 'Hz' or 'm'.</p>
</dd>
<dt><strong>places</strong><span class="classifier">int, default: None</span></dt><dd><p>Precision with which to display the number, specified in
digits after the decimal point (there will be between one
and three digits before the decimal point). If it is None,
the formatting falls back to the floating point format '%g',
which displays up to 6 <em>significant</em> digits, i.e. the equivalent
value for <em>places</em> varies between 0 and 5 (inclusive).</p>
</dd>
<dt><strong>sep</strong><span class="classifier">str, default: " "</span></dt><dd><p>Separator used between the value and the prefix/unit. For
example, one get '3.14 mV' if <code class="docutils literal notranslate"><span class="pre">sep</span></code> is " " (default) and
'3.14mV' if <code class="docutils literal notranslate"><span class="pre">sep</span></code> is "". Besides the default behavior, some
other useful options may be:</p>
<ul class="simple">
<li><code class="docutils literal notranslate"><span class="pre">sep=""</span></code> to append directly the prefix/unit to the value;</li>
<li><code class="docutils literal notranslate"><span class="pre">sep="\N{THIN</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal notranslate"><span class="pre">U+2009</span></code>);</li>
<li><code class="docutils literal notranslate"><span class="pre">sep="\N{NARROW</span> <span class="pre">NO-BREAK</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal notranslate"><span class="pre">U+202F</span></code>);</li>
<li><code class="docutils literal notranslate"><span class="pre">sep="\N{NO-BREAK</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal notranslate"><span class="pre">U+00A0</span></code>).</li>
</ul>
</dd>
<dt><strong>usetex</strong><span class="classifier">bool, default: <code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=text.usetex#a-sample-matplotlibrc-file"><span class="pre">rcParams["text.usetex"]</span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">False</span></code>)</span></dt><dd><p>To enable/disable the use of TeX's math mode for rendering the
numbers in the formatter.</p>
</dd>
<dt><strong>useMathText</strong><span class="classifier">bool, default: <code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=axes.formatter.use_mathtext#a-sample-matplotlibrc-file"><span class="pre">rcParams["axes.formatter.use_mathtext"]</span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">False</span></code>)</span></dt><dd><p>To enable/disable the use mathtext for rendering the numbers in
the formatter.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py attribute">
<dt id="matplotlib.ticker.EngFormatter.ENG_PREFIXES">
<code class="descname">ENG_PREFIXES</code><em class="property"> = {-24: 'y', -21: 'z', -18: 'a', -15: 'f', -12: 'p', -9: 'n', -6: 'µ', -3: 'm', 0: '', 3: 'k', 6: 'M', 9: 'G', 12: 'T', 15: 'P', 18: 'E', 21: 'Z', 24: 'Y'}</em><a class="headerlink" href="#matplotlib.ticker.EngFormatter.ENG_PREFIXES" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.format_eng">
<code class="descname">format_eng</code><span class="sig-paren">(</span><em><span class="n">num</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter.format_eng"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter.format_eng" title="Permalink to this definition">¶</a></dt>
<dd><p>Format a number in engineering notation, appending a letter
representing the power of 1000 of the original number.
Some examples:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">format_eng</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="c1"># for self.places = 0</span>
<span class="go">'0'</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">format_eng</span><span class="p">(</span><span class="mi">1000000</span><span class="p">)</span> <span class="c1"># for self.places = 1</span>
<span class="go">'1.0 M'</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">format_eng</span><span class="p">(</span><span class="s2">"-1e-6"</span><span class="p">)</span> <span class="c1"># for self.places = 2</span>
<span class="go">'-1.00 µ'</span>
</pre></div>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.get_useMathText">
<code class="descname">get_useMathText</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter.get_useMathText"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter.get_useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.get_usetex">
<code class="descname">get_usetex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter.get_usetex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter.get_usetex" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.set_useMathText">
<code class="descname">set_useMathText</code><span class="sig-paren">(</span><em><span class="n">val</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter.set_useMathText"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter.set_useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.set_usetex">
<code class="descname">set_usetex</code><span class="sig-paren">(</span><em><span class="n">val</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#EngFormatter.set_usetex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.EngFormatter.set_usetex" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.useMathText">
<em class="property">property </em><code class="descname">useMathText</code><a class="headerlink" href="#matplotlib.ticker.EngFormatter.useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.EngFormatter.usetex">
<em class="property">property </em><code class="descname">usetex</code><a class="headerlink" href="#matplotlib.ticker.EngFormatter.usetex" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.FixedFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">FixedFormatter</code><span class="sig-paren">(</span><em><span class="n">seq</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Return fixed strings for tick labels based only on position, not value.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last"><a class="reference internal" href="#matplotlib.ticker.FixedFormatter" title="matplotlib.ticker.FixedFormatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FixedFormatter</span></code></a> should only be used together with <a class="reference internal" href="#matplotlib.ticker.FixedLocator" title="matplotlib.ticker.FixedLocator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FixedLocator</span></code></a>.
Otherwise, the labels may end up in unexpected positions.</p>
</div>
<p>Set the sequence <em>seq</em> of strings that will be used for labels.</p>
<dl class="py method">
<dt id="matplotlib.ticker.FixedFormatter.get_offset">
<code class="descname">get_offset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedFormatter.get_offset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedFormatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.FixedFormatter.set_offset_string">
<code class="descname">set_offset_string</code><span class="sig-paren">(</span><em><span class="n">ofs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedFormatter.set_offset_string"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedFormatter.set_offset_string" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.FixedLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">FixedLocator</code><span class="sig-paren">(</span><em><span class="n">locs</span></em>, <em><span class="n">nbins</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>Tick locations are fixed. If nbins is not None,
the array of possible positions will be subsampled to
keep the number of ticks <= nbins +1.
The subsampling will be done so as to include the smallest
absolute value; for example, if zero is included in the
array of possibilities, then it is guaranteed to be one of
the chosen ticks.</p>
<dl class="py method">
<dt id="matplotlib.ticker.FixedLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em><span class="n">nbins</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedLocator.set_params"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedLocator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Set parameters within this locator.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.FixedLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FixedLocator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FixedLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the locations of the ticks.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Because the values are fixed, vmin and vmax are not used in this
method.</p>
</div>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.FormatStrFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">FormatStrFormatter</code><span class="sig-paren">(</span><em><span class="n">fmt</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FormatStrFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FormatStrFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Use an old-style ('%' operator) format string to format the tick.</p>
<p>The format string should have a single variable format (%) in it.
It will be applied to the value (not the position) of the tick.</p>
<p>Negative numeric values will use a dash not a unicode minus,
use mathtext to get a unicode minus by wrappping the format specifier
with $ (e.g. "$%g$").</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.Formatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">Formatter</code><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.TickHelper" title="matplotlib.ticker.TickHelper"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.TickHelper</span></code></a></p>
<p>Create a string based on a tick value and location.</p>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.fix_minus">
<em class="property">static </em><code class="descname">fix_minus</code><span class="sig-paren">(</span><em><span class="n">s</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.fix_minus"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.fix_minus" title="Permalink to this definition">¶</a></dt>
<dd><p>Some classes may want to replace a hyphen for minus with the proper
unicode symbol (U+2212) for typographical correctness. This is a
helper method to perform such a replacement when it is enabled via
<code class="docutils literal notranslate"><a class="reference external" href="../tutorials/introductory/customizing.html?highlight=axes.unicode_minus#a-sample-matplotlibrc-file"><span class="pre">rcParams["axes.unicode_minus"]</span></a></code> (default: <code class="docutils literal notranslate"><span class="pre">True</span></code>).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.format_data">
<code class="descname">format_data</code><span class="sig-paren">(</span><em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.format_data"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.format_data" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the full string representation of the value with the
position unspecified.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.format_data_short"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a short string version of the tick value.</p>
<p>Defaults to the position-independent long value.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.format_ticks">
<code class="descname">format_ticks</code><span class="sig-paren">(</span><em><span class="n">values</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.format_ticks"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.format_ticks" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the tick labels for all the ticks at once.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.get_offset">
<code class="descname">get_offset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.get_offset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="matplotlib.ticker.Formatter.locs">
<code class="descname">locs</code><em class="property"> = []</em><a class="headerlink" href="#matplotlib.ticker.Formatter.locs" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Formatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em><span class="n">locs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Formatter.set_locs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Formatter.set_locs" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locations of the ticks.</p>
<p>This method is called before computing the tick labels because some
formatters need to know all tick locations to do so.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.FuncFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">FuncFormatter</code><span class="sig-paren">(</span><em><span class="n">func</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FuncFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FuncFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Use a user-defined function for formatting.</p>
<p>The function should take in two inputs (a tick value <code class="docutils literal notranslate"><span class="pre">x</span></code> and a
position <code class="docutils literal notranslate"><span class="pre">pos</span></code>), and return a string containing the corresponding
tick label.</p>
<dl class="py method">
<dt id="matplotlib.ticker.FuncFormatter.get_offset">
<code class="descname">get_offset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FuncFormatter.get_offset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FuncFormatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.FuncFormatter.set_offset_string">
<code class="descname">set_offset_string</code><span class="sig-paren">(</span><em><span class="n">ofs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#FuncFormatter.set_offset_string"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.FuncFormatter.set_offset_string" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.IndexFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">IndexFormatter</code><span class="sig-paren">(</span><em><span class="n">labels</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#IndexFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.IndexFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>[<em>Deprecated</em>] Format the position x to the nearest i-th label where <code class="docutils literal notranslate"><span class="pre">i</span> <span class="pre">=</span> <span class="pre">int(x</span> <span class="pre">+</span> <span class="pre">0.5)</span></code>.
Positions where <code class="docutils literal notranslate"><span class="pre">i</span> <span class="pre"><</span> <span class="pre">0</span></code> or <code class="docutils literal notranslate"><span class="pre">i</span> <span class="pre">></span> <span class="pre">len(list)</span></code> have no tick labels.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>labels</strong><span class="classifier">list</span></dt><dd><p>List of labels.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 3.3.</span></p>
</div>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.IndexLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">IndexLocator</code><span class="sig-paren">(</span><em><span class="n">base</span></em>, <em><span class="n">offset</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#IndexLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.IndexLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>Place a tick on every multiple of some base number of points
plotted, e.g., on every 5th point. It is assumed that you are doing
index plotting; i.e., the axis is 0, len(data). This is mainly
useful for x ticks.</p>
<p>Place ticks every <em>base</em> data point, starting at <em>offset</em>.</p>
<dl class="py method">
<dt id="matplotlib.ticker.IndexLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">offset</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#IndexLocator.set_params"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.IndexLocator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Set parameters within this locator</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.IndexLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#IndexLocator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.IndexLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the located ticks given <strong>vmin</strong> and <strong>vmax</strong>.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>To get tick locations with the vmin and vmax values defined
automatically for the associated <code class="xref py py-attr docutils literal notranslate"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">loc</span><span class="p">))</span>
<span class="go"><type 'Locator'></span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">loc</span><span class="p">())</span>
<span class="go">[1, 2, 3, 4]</span>
</pre></div>
</div>
</div>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LinearLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LinearLocator</code><span class="sig-paren">(</span><em><span class="n">numticks</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">presets</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LinearLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LinearLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>Determine the tick locations</p>
<p>The first time this function is called it will try to set the
number of ticks to make a nice tick partitioning. Thereafter the
number of ticks will be fixed so that interactive navigation will
be nice</p>
<p>Use presets to set locs based on lom. A dict mapping vmin, vmax->locs</p>
<dl class="py method">
<dt id="matplotlib.ticker.LinearLocator.numticks">
<em class="property">property </em><code class="descname">numticks</code><a class="headerlink" href="#matplotlib.ticker.LinearLocator.numticks" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LinearLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em><span class="n">numticks</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">presets</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LinearLocator.set_params"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LinearLocator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Set parameters within this locator.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LinearLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LinearLocator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LinearLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the located ticks given <strong>vmin</strong> and <strong>vmax</strong>.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>To get tick locations with the vmin and vmax values defined
automatically for the associated <code class="xref py py-attr docutils literal notranslate"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">loc</span><span class="p">))</span>
<span class="go"><type 'Locator'></span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">loc</span><span class="p">())</span>
<span class="go">[1, 2, 3, 4]</span>
</pre></div>
</div>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LinearLocator.view_limits">
<code class="descname">view_limits</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LinearLocator.view_limits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LinearLocator.view_limits" title="Permalink to this definition">¶</a></dt>
<dd><p>Try to choose the view limits intelligently.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.Locator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">Locator</code><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.TickHelper" title="matplotlib.ticker.TickHelper"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.TickHelper</span></code></a></p>
<p>Determine the tick locations;</p>
<p>Note that the same locator should not be used across multiple
<a class="reference internal" href="axis_api.html#matplotlib.axis.Axis" title="matplotlib.axis.Axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axis</span></code></a> because the locator stores references to the Axis
data and view limits.</p>
<dl class="py attribute">
<dt id="matplotlib.ticker.Locator.MAXTICKS">
<code class="descname">MAXTICKS</code><em class="property"> = 1000</em><a class="headerlink" href="#matplotlib.ticker.Locator.MAXTICKS" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.nonsingular">
<code class="descname">nonsingular</code><span class="sig-paren">(</span><em><span class="n">v0</span></em>, <em><span class="n">v1</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.nonsingular"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.nonsingular" title="Permalink to this definition">¶</a></dt>
<dd><p>Adjust a range as needed to avoid singularities.</p>
<p>This method gets called during autoscaling, with <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span></code> set to
the data limits on the axes if the axes contains any data, or
<code class="docutils literal notranslate"><span class="pre">(-inf,</span> <span class="pre">+inf)</span></code> if not.</p>
<ul class="simple">
<li>If <code class="docutils literal notranslate"><span class="pre">v0</span> <span class="pre">==</span> <span class="pre">v1</span></code> (possibly up to some floating point slop), this
method returns an expanded interval around this value.</li>
<li>If <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span> <span class="pre">==</span> <span class="pre">(-inf,</span> <span class="pre">+inf)</span></code>, this method returns appropriate
default view limits.</li>
<li>Otherwise, <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span></code> is returned without modification.</li>
</ul>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.pan">
<code class="descname">pan</code><span class="sig-paren">(</span><em><span class="n">numsteps</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.pan"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.pan" title="Permalink to this definition">¶</a></dt>
<dd><p>[<em>Deprecated</em>] Pan numticks (can be positive or negative)</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 3.3.</span></p>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.raise_if_exceeds">
<code class="descname">raise_if_exceeds</code><span class="sig-paren">(</span><em><span class="n">locs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.raise_if_exceeds"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.raise_if_exceeds" title="Permalink to this definition">¶</a></dt>
<dd><p>Log at WARNING level if <em>locs</em> is longer than <a class="reference internal" href="#matplotlib.ticker.Locator.MAXTICKS" title="matplotlib.ticker.Locator.MAXTICKS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Locator.MAXTICKS</span></code></a>.</p>
<p>This is intended to be called immediately before returning <em>locs</em> from
<code class="docutils literal notranslate"><span class="pre">__call__</span></code> to inform users in case their Locator returns a huge
number of ticks, causing Matplotlib to run out of memory.</p>
<p>The "strange" name of this method dates back to when it would raise an
exception instead of emitting a log.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.refresh">
<code class="descname">refresh</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.refresh"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.refresh" title="Permalink to this definition">¶</a></dt>
<dd><p>[<em>Deprecated</em>] Refresh internal information based on current limits.</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 3.3.</span></p>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.set_params"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Do nothing, and raise a warning. Any locator class not supporting the
set_params() function will call this.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the located ticks given <strong>vmin</strong> and <strong>vmax</strong>.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>To get tick locations with the vmin and vmax values defined
automatically for the associated <code class="xref py py-attr docutils literal notranslate"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">loc</span><span class="p">))</span>
<span class="go"><type 'Locator'></span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">loc</span><span class="p">())</span>
<span class="go">[1, 2, 3, 4]</span>
</pre></div>
</div>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.view_limits">
<code class="descname">view_limits</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.view_limits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.view_limits" title="Permalink to this definition">¶</a></dt>
<dd><p>Select a scale for the range from vmin to vmax.</p>
<p>Subclasses should override this method to change locator behaviour.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.Locator.zoom">
<code class="descname">zoom</code><span class="sig-paren">(</span><em><span class="n">direction</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#Locator.zoom"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.Locator.zoom" title="Permalink to this definition">¶</a></dt>
<dd><p>[<em>Deprecated</em>] Zoom in/out on axis; if direction is >0 zoom in, else zoom out.</p>
<p class="rubric">Notes</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 3.3.</span></p>
</div>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogFormatter</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">10.0</span></em>, <em><span class="n">labelOnlyBase</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">minor_thresholds</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">linthresh</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Base class for formatting ticks on a log or symlog scale.</p>
<p>It may be instantiated directly, or subclassed.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>base</strong><span class="classifier">float, default: 10.</span></dt><dd><p>Base of the logarithm used in all calculations.</p>
</dd>
<dt><strong>labelOnlyBase</strong><span class="classifier">bool, default: False</span></dt><dd><p>If True, label ticks only at integer powers of base.
This is normally True for major ticks and False for
minor ticks.</p>
</dd>
<dt><strong>minor_thresholds</strong><span class="classifier">(subset, all), default: (1, 0.4)</span></dt><dd><p>If labelOnlyBase is False, these two numbers control
the labeling of ticks that are not at integer powers of
base; normally these are the minor ticks. The controlling
parameter is the log of the axis data range. In the typical
case where base is 10 it is the number of decades spanned
by the axis, so we can call it 'numdec'. If <code class="docutils literal notranslate"><span class="pre">numdec</span> <span class="pre"><=</span> <span class="pre">all</span></code>,
all minor ticks will be labeled. If <code class="docutils literal notranslate"><span class="pre">all</span> <span class="pre"><</span> <span class="pre">numdec</span> <span class="pre"><=</span> <span class="pre">subset</span></code>,
then only a subset of minor ticks will be labeled, so as to
avoid crowding. If <code class="docutils literal notranslate"><span class="pre">numdec</span> <span class="pre">></span> <span class="pre">subset</span></code> then no minor ticks will
be labeled.</p>
</dd>
<dt><strong>linthresh</strong><span class="classifier">None or float, default: None</span></dt><dd><p>If a symmetric log scale is in use, its <code class="docutils literal notranslate"><span class="pre">linthresh</span></code>
parameter must be supplied here.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p>The <a class="reference internal" href="#matplotlib.ticker.LogFormatter.set_locs" title="matplotlib.ticker.LogFormatter.set_locs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_locs</span></code></a> method must be called to enable the subsetting
logic controlled by the <code class="docutils literal notranslate"><span class="pre">minor_thresholds</span></code> parameter.</p>
<p>In some cases such as the colorbar, there is no distinction between
major and minor ticks; the tick locations might be set manually,
or by a locator that puts ticks at integer powers of base and
at intermediate locations. For this situation, disable the
minor_thresholds logic by using <code class="docutils literal notranslate"><span class="pre">minor_thresholds=(np.inf,</span> <span class="pre">np.inf)</span></code>,
so that all ticks will be labeled.</p>
<p>To disable labeling of minor ticks when 'labelOnlyBase' is False,
use <code class="docutils literal notranslate"><span class="pre">minor_thresholds=(0,</span> <span class="pre">0)</span></code>. This is the default for the
"classic" style.</p>
<p class="rubric">Examples</p>
<p>To label a subset of minor ticks when the view limits span up
to 2 decades, and all of the ticks when zoomed in to 0.5 decades
or less, use <code class="docutils literal notranslate"><span class="pre">minor_thresholds=(2,</span> <span class="pre">0.5)</span></code>.</p>
<p>To label all minor ticks when the view limits span up to 1.5
decades, use <code class="docutils literal notranslate"><span class="pre">minor_thresholds=(1.5,</span> <span class="pre">1.5)</span></code>.</p>
<dl class="py method">
<dt id="matplotlib.ticker.LogFormatter.base">
<code class="descname">base</code><span class="sig-paren">(</span><em><span class="n">base</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter.base"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter.base" title="Permalink to this definition">¶</a></dt>
<dd><p>Change the <em>base</em> for labeling.</p>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">Should always match the base used for <a class="reference internal" href="#matplotlib.ticker.LogLocator" title="matplotlib.ticker.LogLocator"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogLocator</span></code></a></p>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogFormatter.format_data">
<code class="descname">format_data</code><span class="sig-paren">(</span><em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter.format_data"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter.format_data" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the full string representation of the value with the
position unspecified.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogFormatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter.format_data_short"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a short string version of the tick value.</p>
<p>Defaults to the position-independent long value.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogFormatter.label_minor">
<code class="descname">label_minor</code><span class="sig-paren">(</span><em><span class="n">labelOnlyBase</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter.label_minor"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter.label_minor" title="Permalink to this definition">¶</a></dt>
<dd><p>Switch minor tick labeling on or off.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>labelOnlyBase</strong><span class="classifier">bool</span></dt><dd><p>If True, label ticks only at integer powers of base.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogFormatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em><span class="n">locs</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatter.set_locs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatter.set_locs" title="Permalink to this definition">¶</a></dt>
<dd><p>Use axis view limits to control which ticks are labeled.</p>
<p>The <em>locs</em> parameter is ignored in the present algorithm.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogFormatterExponent">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogFormatterExponent</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">10.0</span></em>, <em><span class="n">labelOnlyBase</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">minor_thresholds</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">linthresh</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatterExponent"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatterExponent" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.LogFormatter" title="matplotlib.ticker.LogFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.LogFormatter</span></code></a></p>
<p>Format values for log axis using <code class="docutils literal notranslate"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogFormatterMathtext">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogFormatterMathtext</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">10.0</span></em>, <em><span class="n">labelOnlyBase</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">minor_thresholds</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">linthresh</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatterMathtext"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatterMathtext" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.LogFormatter" title="matplotlib.ticker.LogFormatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.LogFormatter</span></code></a></p>
<p>Format values for log axis using <code class="docutils literal notranslate"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogFormatterSciNotation">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogFormatterSciNotation</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">10.0</span></em>, <em><span class="n">labelOnlyBase</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">minor_thresholds</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">linthresh</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogFormatterSciNotation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogFormatterSciNotation" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.LogFormatterMathtext" title="matplotlib.ticker.LogFormatterMathtext"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.LogFormatterMathtext</span></code></a></p>
<p>Format values following scientific notation in a logarithmic axis.</p>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogLocator</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">10.0</span></em>, <em><span class="n">subs</span><span class="o">=</span><span class="default_value">(1.0)</span></em>, <em><span class="n">numdecs</span><span class="o">=</span><span class="default_value">4</span></em>, <em><span class="n">numticks</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>Determine the tick locations for log axes</p>
<p>Place ticks on the locations : subs[j] * base**i</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>base</strong><span class="classifier">float, default: 10.0</span></dt><dd><p>The base of the log used, so ticks are placed at <code class="docutils literal notranslate"><span class="pre">base**n</span></code>.</p>
</dd>
<dt><strong>subs</strong><span class="classifier">None or str or sequence of float, default: (1.0,)</span></dt><dd><p>Gives the multiples of integer powers of the base at which
to place ticks. The default places ticks only at
integer powers of the base.
The permitted string values are <code class="docutils literal notranslate"><span class="pre">'auto'</span></code> and <code class="docutils literal notranslate"><span class="pre">'all'</span></code>,
both of which use an algorithm based on the axis view
limits to determine whether and how to put ticks between
integer powers of the base. With <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, ticks are
placed only between integer powers; with <code class="docutils literal notranslate"><span class="pre">'all'</span></code>, the
integer powers are included. A value of None is
equivalent to <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>.</p>
</dd>
<dt><strong>numticks</strong><span class="classifier">None or int, default: None</span></dt><dd><p>The maximum number of ticks to allow on a given axis. The default
of <code class="docutils literal notranslate"><span class="pre">None</span></code> will try to choose intelligently as long as this
Locator has already been assigned to an axis using
<a class="reference internal" href="_as_gen/matplotlib.axis.Axis.get_tick_space.html#matplotlib.axis.Axis.get_tick_space" title="matplotlib.axis.Axis.get_tick_space"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_tick_space</span></code></a>, but otherwise falls back to 9.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.base">
<code class="descname">base</code><span class="sig-paren">(</span><em><span class="n">base</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.base"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.base" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the log base (major tick every <code class="docutils literal notranslate"><span class="pre">base**i</span></code>, i integer).</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.nonsingular">
<code class="descname">nonsingular</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.nonsingular"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.nonsingular" title="Permalink to this definition">¶</a></dt>
<dd><p>Adjust a range as needed to avoid singularities.</p>
<p>This method gets called during autoscaling, with <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span></code> set to
the data limits on the axes if the axes contains any data, or
<code class="docutils literal notranslate"><span class="pre">(-inf,</span> <span class="pre">+inf)</span></code> if not.</p>
<ul class="simple">
<li>If <code class="docutils literal notranslate"><span class="pre">v0</span> <span class="pre">==</span> <span class="pre">v1</span></code> (possibly up to some floating point slop), this
method returns an expanded interval around this value.</li>
<li>If <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span> <span class="pre">==</span> <span class="pre">(-inf,</span> <span class="pre">+inf)</span></code>, this method returns appropriate
default view limits.</li>
<li>Otherwise, <code class="docutils literal notranslate"><span class="pre">(v0,</span> <span class="pre">v1)</span></code> is returned without modification.</li>
</ul>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em><span class="n">base</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">subs</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">numdecs</span><span class="o">=</span><span class="default_value">None</span></em>, <em><span class="n">numticks</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.set_params"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Set parameters within this locator.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.subs">
<code class="descname">subs</code><span class="sig-paren">(</span><em><span class="n">subs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.subs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.subs" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the minor ticks for the log scaling every <code class="docutils literal notranslate"><span class="pre">base**i*subs[j]</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.tick_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the values of the located ticks given <strong>vmin</strong> and <strong>vmax</strong>.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>To get tick locations with the vmin and vmax values defined
automatically for the associated <code class="xref py py-attr docutils literal notranslate"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">loc</span><span class="p">))</span>
<span class="go"><type 'Locator'></span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">loc</span><span class="p">())</span>
<span class="go">[1, 2, 3, 4]</span>
</pre></div>
</div>
</div>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogLocator.view_limits">
<code class="descname">view_limits</code><span class="sig-paren">(</span><em><span class="n">vmin</span></em>, <em><span class="n">vmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogLocator.view_limits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogLocator.view_limits" title="Permalink to this definition">¶</a></dt>
<dd><p>Try to choose the view limits intelligently.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="matplotlib.ticker.LogitFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogitFormatter</code><span class="sig-paren">(</span><em><span class="o">*</span></em>, <em><span class="n">use_overline</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">one_half</span><span class="o">=</span><span class="default_value">'\x0crac{1}{2}'</span></em>, <em><span class="n">minor</span><span class="o">=</span><span class="default_value">False</span></em>, <em><span class="n">minor_threshold</span><span class="o">=</span><span class="default_value">25</span></em>, <em><span class="n">minor_number</span><span class="o">=</span><span class="default_value">6</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogitFormatter"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogitFormatter" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference internal" href="#matplotlib.ticker.Formatter" title="matplotlib.ticker.Formatter"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Probability formatter (using Math text).</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><dl class="first last docutils">
<dt><strong>use_overline</strong><span class="classifier">bool, default: False</span></dt><dd><p>If x > 1/2, with x = 1-v, indicate if x should be displayed as
$overline{v}$. The default is to display $1-v$.</p>
</dd>
<dt><strong>one_half</strong><span class="classifier">str, default: r"frac{1}{2}"</span></dt><dd><p>The string used to represent 1/2.</p>
</dd>
<dt><strong>minor</strong><span class="classifier">bool, default: False</span></dt><dd><p>Indicate if the formatter is formatting minor ticks or not.
Basically minor ticks are not labelled, except when only few ticks
are provided, ticks with most space with neighbor ticks are
labelled. See other parameters to change the default behavior.</p>
</dd>
<dt><strong>minor_threshold</strong><span class="classifier">int, default: 25</span></dt><dd><p>Maximum number of locs for labelling some minor ticks. This
parameter have no effect if minor is False.</p>
</dd>
<dt><strong>minor_number</strong><span class="classifier">int, default: 6</span></dt><dd><p>Number of ticks which are labelled when the number of ticks is
below the threshold.</p>
</dd>
</dl>
</td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt id="matplotlib.ticker.LogitFormatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogitFormatter.format_data_short"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogitFormatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a short string version of the tick value.</p>
<p>Defaults to the position-independent long value.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogitFormatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em><span class="n">locs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogitFormatter.set_locs"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogitFormatter.set_locs" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locations of the ticks.</p>
<p>This method is called before computing the tick labels because some
formatters need to know all tick locations to do so.</p>
</dd></dl>
<dl class="py method">
<dt id="matplotlib.ticker.LogitFormatter.set_minor_number">
<code class="descname">set_minor_number</code><span class="sig-paren">(</span><em><span class="n">minor_number</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/matplotlib/ticker.html#LogitFormatter.set_minor_number"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#matplotlib.ticker.LogitFormatter.set_minor_number" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the number of minor ticks to label when some minor ticks are
labelled.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">