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<li><a class="reference internal" href="#">ticker</a><ul>
<li><a class="reference internal" href="#module-matplotlib.ticker"><code class="docutils literal"><span class="pre">matplotlib.ticker</span></code></a><ul>
<li><a class="reference internal" href="#tick-locating-and-formatting">Tick locating and formatting</a><ul>
<li><a class="reference internal" href="#default-formatter">Default Formatter</a></li>
<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="ticker">
<h1>ticker<a class="headerlink" href="#ticker" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-matplotlib.ticker">
<span id="matplotlib-ticker"></span><h2><a class="reference internal" href="#module-matplotlib.ticker" title="matplotlib.ticker"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.ticker</span></code></a><a class="headerlink" href="#module-matplotlib.ticker" title="Permalink to this headline">¶</a></h2>
<div class="section" id="tick-locating-and-formatting">
<h3>Tick locating and formatting<a class="headerlink" href="#tick-locating-and-formatting" title="Permalink to this headline">¶</a></h3>
<p>This module contains classes to support completely configurable tick
locating and formatting. 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. Generic tick locators and
formatters are provided, as well as domain specific custom ones.</p>
<div class="section" id="default-formatter">
<h4>Default Formatter<a class="headerlink" href="#default-formatter" title="Permalink to this headline">¶</a></h4>
<p>The default formatter identifies when the x-data being plotted is a
small range on top of a large off set. To reduce the chances that the
ticklabels overlap the ticks are labeled as deltas from a fixed offset.
For example:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">2010</span><span class="p">),</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
</pre></div>
</div>
<p>will have tick of 0-9 with an offset of +2e3. If this is not desired
turn off the use of the offset on the default formatter:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">get_xaxis</span><span class="p">()</span><span class="o">.</span><span class="n">get_major_formatter</span><span class="p">()</span><span class="o">.</span><span class="n">set_useOffset</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
</pre></div>
</div>
<p>set the rcParam <code class="docutils literal"><span class="pre">axes.formatter.useoffset=False</span></code> to turn it off
globally, or set a different formatter.</p>
</div>
<div class="section" id="tick-locating">
<h4>Tick locating<a class="headerlink" href="#tick-locating" title="Permalink to this headline">¶</a></h4>
<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"><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.NullLocator" title="matplotlib.ticker.NullLocator"><code class="xref py py-class docutils literal"><span class="pre">NullLocator</span></code></a></dt>
<dd>No ticks</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.FixedLocator" title="matplotlib.ticker.FixedLocator"><code class="xref py py-class docutils literal"><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"><span class="pre">IndexLocator</span></code></a></dt>
<dd>locator for index plots (e.g., where x = range(len(y)))</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LinearLocator" title="matplotlib.ticker.LinearLocator"><code class="xref py py-class docutils literal"><span class="pre">LinearLocator</span></code></a></dt>
<dd>evenly spaced ticks 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"><span class="pre">LogLocator</span></code></a></dt>
<dd>logarithmically ticks from min to max</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.SymmetricalLogLocator" title="matplotlib.ticker.SymmetricalLogLocator"><code class="xref py py-class docutils literal"><span class="pre">SymmetricalLogLocator</span></code></a></dt>
<dd>locator for use with with the symlog norm, works like the
<a class="reference internal" href="#matplotlib.ticker.LogLocator" title="matplotlib.ticker.LogLocator"><code class="xref py py-obj docutils literal"><span class="pre">LogLocator</span></code></a> for the part outside of the threshold and add 0 if
inside the limits</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.MultipleLocator" title="matplotlib.ticker.MultipleLocator"><code class="xref py py-class docutils literal"><span class="pre">MultipleLocator</span></code></a></dt>
<dd>ticks and range are a multiple of base; either integer or float</dd>
<dt><code class="xref py py-class docutils literal"><span class="pre">OldAutoLocator</span></code></dt>
<dd>choose a MultipleLocator and dyamically reassign it for
intelligent ticking during navigation</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-class docutils literal"><span class="pre">MaxNLocator</span></code></a></dt>
<dd>finds up to a max number of ticks at nice locations</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.AutoLocator" title="matplotlib.ticker.AutoLocator"><code class="xref py py-class docutils literal"><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-class docutils literal"><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.AutoMinorLocator" title="matplotlib.ticker.AutoMinorLocator"><code class="xref py py-class docutils literal"><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. It subdivides the major
tick interval into a specified number of minor intervals,
defaulting to 4 or 5 depending on the major interval.</dd>
<dt><a class="reference internal" href="#matplotlib.ticker.LogitLocator" title="matplotlib.ticker.LogitLocator"><code class="xref py py-class docutils literal"><span class="pre">LogitLocator</span></code></a></dt>
<dd>Locator for logit scaling.</dd>
</dl>
<p>There are a number of locators specialized for date locations - see
the dates module</p>
<p>You can define your own locator by deriving from Locator. You must
override the <code class="docutils literal"><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"><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">xmajorLocator</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">xminorLocator</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">ymajorLocator</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">yminorLocator</span> <span class="p">)</span>
</pre></div>
</div>
<p>The default minor locator is the NullLocator, e.g., no minor ticks on by
default.</p>
</div>
<div class="section" id="tick-formatting">
<h4>Tick formatting<a class="headerlink" href="#tick-formatting" title="Permalink to this headline">¶</a></h4>
<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"><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"><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"><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"><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"><span class="pre">StrMethodFormatter</span></code></a></dt>
<dd>Use string <a class="reference external" href="https://docs.python.org/2/library/functions.html#format" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><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"><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"><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"><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"><span class="pre">LogFormatterExponent</span></code></a></dt>
<dd>Format values for log axis using <code class="docutils literal"><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"><span class="pre">LogFormatterMathtext</span></code></a></dt>
<dd>Format values for log axis using <code class="docutils literal"><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"><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"><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"><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"><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"><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"><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">xmajorFormatter</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">xminorFormatter</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">ymajorFormatter</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">yminorFormatter</span> <span class="p">)</span>
</pre></div>
</div>
<p>See <a class="reference internal" href="../gallery/ticks_and_spines/major_minor_demo.html#sphx-glr-gallery-ticks-and-spines-major-minor-demo-py"><span class="std std-ref">Major Minor Demo</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"><span class="pre">matplotlib.dates</span></code></a>
module for more information and examples of using date locators and formatters.</p>
<dl class="class">
<dt id="matplotlib.ticker.TickHelper">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">TickHelper</code><a class="headerlink" href="#matplotlib.ticker.TickHelper" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/2/library/functions.html#object" title="(in Python v2.7)"><code class="xref py py-class docutils literal"><span class="pre">object</span></code></a></p>
<dl class="attribute">
<dt id="matplotlib.ticker.TickHelper.axis">
<code class="descname">axis</code><em class="property"> = None</em><a class="headerlink" href="#matplotlib.ticker.TickHelper.axis" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.TickHelper.create_dummy_axis">
<code class="descname">create_dummy_axis</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.TickHelper.create_dummy_axis" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.TickHelper.set_axis">
<code class="descname">set_axis</code><span class="sig-paren">(</span><em>axis</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.TickHelper.set_axis" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.TickHelper.set_bounds">
<code class="descname">set_bounds</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.TickHelper.set_bounds" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.TickHelper.set_data_interval">
<code class="descname">set_data_interval</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.TickHelper.set_data_interval" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.TickHelper.set_view_interval">
<code class="descname">set_view_interval</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.TickHelper.set_view_interval" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.Formatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">Formatter</code><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"><span class="pre">matplotlib.ticker.TickHelper</span></code></a></p>
<p>Create a string based on a tick value and location.</p>
<dl class="method">
<dt id="matplotlib.ticker.Formatter.fix_minus">
<code class="descname">fix_minus</code><span class="sig-paren">(</span><em>s</em><span class="sig-paren">)</span><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.
The default is to not replace it.</p>
<p>Note, if you use this method, e.g., in <a class="reference internal" href="#matplotlib.ticker.Formatter.format_data" title="matplotlib.ticker.Formatter.format_data"><code class="xref py py-meth docutils literal"><span class="pre">format_data()</span></code></a> or
call, you probably don’t want to use it for
<a class="reference internal" href="#matplotlib.ticker.Formatter.format_data_short" title="matplotlib.ticker.Formatter.format_data_short"><code class="xref py py-meth docutils literal"><span class="pre">format_data_short()</span></code></a> since the toolbar uses this for
interactive coord reporting and I doubt we can expect GUIs
across platforms will handle the unicode correctly. So for
now the classes that override <a class="reference internal" href="#matplotlib.ticker.Formatter.fix_minus" title="matplotlib.ticker.Formatter.fix_minus"><code class="xref py py-meth docutils literal"><span class="pre">fix_minus()</span></code></a> should have an
explicit <a class="reference internal" href="#matplotlib.ticker.Formatter.format_data_short" title="matplotlib.ticker.Formatter.format_data_short"><code class="xref py py-meth docutils literal"><span class="pre">format_data_short()</span></code></a> method</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Formatter.format_data">
<code class="descname">format_data</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Formatter.format_data" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the full string representation of the value with the
position unspecified.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Formatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><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="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="headerlink" href="#matplotlib.ticker.Formatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="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="method">
<dt id="matplotlib.ticker.Formatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em>locs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Formatter.set_locs" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="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>seq</em><span class="sig-paren">)</span><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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Return fixed strings for tick labels based only on position, not
value.</p>
<p>Set the sequence of strings that will be used for labels.</p>
<dl class="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="headerlink" href="#matplotlib.ticker.FixedFormatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.FixedFormatter.set_offset_string">
<code class="descname">set_offset_string</code><span class="sig-paren">(</span><em>ofs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.FixedFormatter.set_offset_string" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.NullFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">NullFormatter</code><a class="headerlink" href="#matplotlib.ticker.NullFormatter" 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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Always return the empty string.</p>
</dd></dl>
<dl class="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>func</em><span class="sig-paren">)</span><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"><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"><span class="pre">x</span></code> and a
position <code class="docutils literal"><span class="pre">pos</span></code>), and return a string containing the corresponding
tick label.</p>
</dd></dl>
<dl class="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>fmt</em><span class="sig-paren">)</span><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"><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>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.StrMethodFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">StrMethodFormatter</code><span class="sig-paren">(</span><em>fmt</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.StrMethodFormatter" 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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Use a new-style format string (as used by <code class="xref py py-obj docutils literal"><span class="pre">str.format()</span></code>)
to format the tick.</p>
<p>The field used for the value must be labeled <code class="xref py py-obj docutils literal"><span class="pre">x</span></code> and the field used
for the position must be labeled <code class="xref py py-obj docutils literal"><span class="pre">pos</span></code>.</p>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.ScalarFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">ScalarFormatter</code><span class="sig-paren">(</span><em>useOffset=None</em>, <em>useMathText=None</em>, <em>useLocale=None</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter" 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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Format tick values as a number.</p>
<p>Tick value is interpreted as a plain old number. If
<code class="docutils literal"><span class="pre">useOffset==True</span></code> and the data range is much smaller than the data
average, then an offset will be determined such that the tick labels
are meaningful. Scientific notation is used for <code class="docutils literal"><span class="pre">data</span> <span class="pre"><</span> <span class="pre">10^-n</span></code> or
<code class="docutils literal"><span class="pre">data</span> <span class="pre">>=</span> <span class="pre">10^m</span></code>, where <code class="docutils literal"><span class="pre">n</span></code> and <code class="docutils literal"><span class="pre">m</span></code> are the power limits set
using <code class="docutils literal"><span class="pre">set_powerlimits((n,m))</span></code>. The defaults for these are
controlled by the <code class="docutils literal"><span class="pre">axes.formatter.limits</span></code> rc parameter.</p>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.fix_minus">
<code class="descname">fix_minus</code><span class="sig-paren">(</span><em>s</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.fix_minus" title="Permalink to this definition">¶</a></dt>
<dd><p>Replace hyphens with a unicode minus.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.format_data">
<code class="descname">format_data</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.format_data" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a formatted string representation of a number.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a short formatted string representation of a number.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.get_offset">
<code class="descname">get_offset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.get_offset" title="Permalink to this definition">¶</a></dt>
<dd><p>Return scientific notation, plus offset.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.get_useLocale">
<code class="descname">get_useLocale</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.get_useLocale" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.get_useMathText">
<code class="descname">get_useMathText</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.get_useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.get_useOffset">
<code class="descname">get_useOffset</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.get_useOffset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.pprint_val">
<code class="descname">pprint_val</code><span class="sig-paren">(</span><em>x</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.pprint_val" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em>locs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_locs" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the locations of the ticks.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_powerlimits">
<code class="descname">set_powerlimits</code><span class="sig-paren">(</span><em>lims</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_powerlimits" title="Permalink to this definition">¶</a></dt>
<dd><p>Sets size thresholds for scientific notation.</p>
<p><code class="docutils literal"><span class="pre">lims</span></code> is a two-element sequence containing the powers of 10
that determine the switchover threshold. Numbers below
<code class="docutils literal"><span class="pre">10**lims[0]</span></code> and above <code class="docutils literal"><span class="pre">10**lims[1]</span></code> will be displayed in
scientific notation.</p>
<p>For example, <code class="docutils literal"><span class="pre">formatter.set_powerlimits((-3,</span> <span class="pre">4))</span></code> sets the
pre-2007 default in which scientific notation is used for
numbers less than 1e-3 or greater than 1e4.</p>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last">Method <a class="reference internal" href="#matplotlib.ticker.ScalarFormatter.set_scientific" title="matplotlib.ticker.ScalarFormatter.set_scientific"><code class="xref py py-meth docutils literal"><span class="pre">set_scientific()</span></code></a></p>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_scientific">
<code class="descname">set_scientific</code><span class="sig-paren">(</span><em>b</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_scientific" title="Permalink to this definition">¶</a></dt>
<dd><p>Turn scientific notation on or off.</p>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last">Method <a class="reference internal" href="#matplotlib.ticker.ScalarFormatter.set_powerlimits" title="matplotlib.ticker.ScalarFormatter.set_powerlimits"><code class="xref py py-meth docutils literal"><span class="pre">set_powerlimits()</span></code></a></p>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_useLocale">
<code class="descname">set_useLocale</code><span class="sig-paren">(</span><em>val</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_useLocale" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_useMathText">
<code class="descname">set_useMathText</code><span class="sig-paren">(</span><em>val</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.ScalarFormatter.set_useOffset">
<code class="descname">set_useOffset</code><span class="sig-paren">(</span><em>val</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.set_useOffset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.ticker.ScalarFormatter.useLocale">
<code class="descname">useLocale</code><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.useLocale" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.ticker.ScalarFormatter.useMathText">
<code class="descname">useMathText</code><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.useMathText" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="attribute">
<dt id="matplotlib.ticker.ScalarFormatter.useOffset">
<code class="descname">useOffset</code><a class="headerlink" href="#matplotlib.ticker.ScalarFormatter.useOffset" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="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>base=10.0</em>, <em>labelOnlyBase=False</em>, <em>minor_thresholds=None</em>, <em>linthresh=None</em><span class="sig-paren">)</span><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"><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"><p class="first"><strong>base</strong> : float, optional, default: 10.</p>
<blockquote>
<div><p>Base of the logarithm used in all calculations.</p>
</div></blockquote>
<p><strong>labelOnlyBase</strong> : bool, optional, default: False</p>
<blockquote>
<div><p>If True, label ticks only at integer powers of base.
This is normally True for major ticks and False for
minor ticks.</p>
</div></blockquote>
<p><strong>minor_thresholds</strong> : (subset, all), optional, default: (1, 0.4)</p>
<blockquote>
<div><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"><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"><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"><span class="pre">numdec</span> <span class="pre">></span> <span class="pre">subset</span></code> then no minor ticks will
be labeled.</p>
</div></blockquote>
<p><strong>linthresh</strong> : None or float, optional, default: None</p>
<blockquote class="last">
<div><p>If a symmetric log scale is in use, its <code class="docutils literal"><span class="pre">linthresh</span></code>
parameter must be supplied here.</p>
</div></blockquote>
</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"><span class="pre">set_locs</span></code></a> method must be called to enable the subsetting
logic controlled by the <code class="docutils literal"><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"><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"><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"><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"><span class="pre">minor_thresholds=(1.5,</span> <span class="pre">1.5)</span></code>.</p>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.base">
<code class="descname">base</code><span class="sig-paren">(</span><em>base</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.LogFormatter.base" title="Permalink to this definition">¶</a></dt>
<dd><p>change the <a class="reference internal" href="#matplotlib.ticker.LogFormatter.base" title="matplotlib.ticker.LogFormatter.base"><code class="xref py py-obj docutils literal"><span class="pre">base</span></code></a> 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"><span class="pre">LogLocator</span></code></a></p>
</div>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.format_data">
<code class="descname">format_data</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.LogFormatter.format_data" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.LogFormatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>Return a short formatted string representation of a number.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.label_minor">
<code class="descname">label_minor</code><span class="sig-paren">(</span><em>labelOnlyBase</em><span class="sig-paren">)</span><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"><p class="first"><strong>labelOnlyBase</strong> : bool</p>
<blockquote class="last">
<div><p>If True, label ticks only at integer powers of base.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.pprint_val">
<code class="descname">pprint_val</code><span class="sig-paren">(</span><em>x</em>, <em>d</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.LogFormatter.pprint_val" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.LogFormatter.set_locs">
<code class="descname">set_locs</code><span class="sig-paren">(</span><em>locs=None</em><span class="sig-paren">)</span><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 <code class="docutils literal"><span class="pre">locs</span></code> parameter is ignored in the present algorithm.</p>
</dd></dl>
</dd></dl>
<dl class="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>base=10.0</em>, <em>labelOnlyBase=False</em>, <em>minor_thresholds=None</em>, <em>linthresh=None</em><span class="sig-paren">)</span><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"><span class="pre">matplotlib.ticker.LogFormatter</span></code></a></p>
<p>Format values for log axis using <code class="docutils literal"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>.</p>
</dd></dl>
<dl class="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>base=10.0</em>, <em>labelOnlyBase=False</em>, <em>minor_thresholds=None</em>, <em>linthresh=None</em><span class="sig-paren">)</span><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"><span class="pre">matplotlib.ticker.LogFormatter</span></code></a></p>
<p>Format values for log axis using <code class="docutils literal"><span class="pre">exponent</span> <span class="pre">=</span> <span class="pre">log_base(value)</span></code>.</p>
</dd></dl>
<dl class="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>labels</em><span class="sig-paren">)</span><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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Format the position x to the nearest i-th label where i=int(x+0.5)</p>
</dd></dl>
<dl class="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>base=10.0</em>, <em>labelOnlyBase=False</em>, <em>minor_thresholds=None</em>, <em>linthresh=None</em><span class="sig-paren">)</span><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"><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="class">
<dt id="matplotlib.ticker.LogitFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">LogitFormatter</code><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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Probability formatter (using Math text).</p>
<dl class="method">
<dt id="matplotlib.ticker.LogitFormatter.format_data_short">
<code class="descname">format_data_short</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.LogitFormatter.format_data_short" title="Permalink to this definition">¶</a></dt>
<dd><p>return a short formatted string representation of a number</p>
</dd></dl>
</dd></dl>
<dl class="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>unit=''</em>, <em>places=None</em>, <em>sep=' '</em><span class="sig-paren">)</span><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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Formats 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"><p class="first"><strong>unit</strong> : str (default: “”)</p>
<blockquote>
<div><p>Unit symbol to use, suitable for use with single-letter
representations of powers of 1000. For example, ‘Hz’ or ‘m’.</p>
</div></blockquote>
<p><strong>places</strong> : int (default: None)</p>
<blockquote>
<div><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>
</div></blockquote>
<p><strong>sep</strong> : str (default: ” “)</p>
<blockquote class="last">
<div><p>Separator used between the value and the prefix/unit. For
example, one get ‘3.14 mV’ if <code class="docutils literal"><span class="pre">sep</span></code> is ” ” (default) and
‘3.14mV’ if <code class="docutils literal"><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"><span class="pre">sep=""</span></code> to append directly the prefix/unit to the value;</li>
<li><code class="docutils literal"><span class="pre">sep="\N{THIN</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal"><span class="pre">U+2009</span></code>);</li>
<li><code class="docutils literal"><span class="pre">sep="\N{NARROW</span> <span class="pre">NO-BREAK</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal"><span class="pre">U+202F</span></code>);</li>
<li><code class="docutils literal"><span class="pre">sep="\N{NO-BREAK</span> <span class="pre">SPACE}"</span></code> (<code class="docutils literal"><span class="pre">U+00A0</span></code>).</li>
</ul>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<dl class="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="method">
<dt id="matplotlib.ticker.EngFormatter.format_eng">
<code class="descname">format_eng</code><span class="sig-paren">(</span><em>num</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.EngFormatter.format_eng" title="Permalink to this definition">¶</a></dt>
<dd><p>Formats a number in engineering notation, appending a letter
representing the power of 1000 of the original number.
Some examples:</p>
<div class="highlight-default"><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="highlight-default"><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="highlight-default"><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">u'-1.00 μ'</span>
</pre></div>
</div>
<p><code class="xref py py-obj docutils literal"><span class="pre">num</span></code> may be a numeric value or a string that can be converted
to a numeric value with <code class="docutils literal"><span class="pre">float(num)</span></code>.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.PercentFormatter">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">PercentFormatter</code><span class="sig-paren">(</span><em>xmax=100</em>, <em>decimals=None</em>, <em>symbol='%'</em>, <em>is_latex=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.PercentFormatter" 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"><span class="pre">matplotlib.ticker.Formatter</span></code></a></p>
<p>Format numbers as a percentage.</p>
<p>How the number is converted into a percentage is determined by the
<code class="xref py py-obj docutils literal"><span class="pre">xmax</span></code> parameter. <code class="xref py py-obj docutils literal"><span class="pre">xmax</span></code> is the data value that corresponds to 100%.
Percentages are computed as <code class="docutils literal"><span class="pre">x</span> <span class="pre">/</span> <span class="pre">xmax</span> <span class="pre">*</span> <span class="pre">100</span></code>. So if the data is
already scaled to be percentages, <code class="xref py py-obj docutils literal"><span class="pre">xmax</span></code> will be 100. Another common
situation is where <code class="xref py py-obj docutils literal"><span class="pre">xmax</span></code> is 1.0.</p>
<p><a class="reference internal" href="#matplotlib.ticker.PercentFormatter.symbol" title="matplotlib.ticker.PercentFormatter.symbol"><code class="xref py py-obj docutils literal"><span class="pre">symbol</span></code></a> is a string which will be appended to the label. It may be
<a class="reference external" href="https://docs.python.org/2/library/constants.html#None" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">None</span></code></a> or empty to indicate that no symbol should be used. LaTeX
special characters are escaped in <a class="reference internal" href="#matplotlib.ticker.PercentFormatter.symbol" title="matplotlib.ticker.PercentFormatter.symbol"><code class="xref py py-obj docutils literal"><span class="pre">symbol</span></code></a> whenever latex mode is
enabled, unless <code class="xref py py-obj docutils literal"><span class="pre">is_latex</span></code> is <a class="reference external" href="https://docs.python.org/2/library/constants.html#True" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">True</span></code></a>.</p>
<p><code class="xref py py-obj docutils literal"><span class="pre">decimals</span></code> is the number of decimal places to place after the point.
If it is set to <a class="reference external" href="https://docs.python.org/2/library/constants.html#None" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">None</span></code></a> (the default), the number will be computed
automatically.</p>
<dl class="method">
<dt id="matplotlib.ticker.PercentFormatter.convert_to_pct">
<code class="descname">convert_to_pct</code><span class="sig-paren">(</span><em>x</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.PercentFormatter.convert_to_pct" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.PercentFormatter.format_pct">
<code class="descname">format_pct</code><span class="sig-paren">(</span><em>x</em>, <em>display_range</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.PercentFormatter.format_pct" title="Permalink to this definition">¶</a></dt>
<dd><p>Formats the number as a percentage number with the correct
number of decimals and adds the percent symbol, if any.</p>
<p>If <code class="xref py py-obj docutils literal"><span class="pre">self.decimals</span></code> is <a class="reference external" href="https://docs.python.org/2/library/constants.html#None" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">None</span></code></a>, the number of digits after the
decimal point is set based on the <code class="xref py py-obj docutils literal"><span class="pre">display_range</span></code> of the axis
as follows:</p>
<table border="1" class="docutils">
<colgroup>
<col width="31%" />
<col width="20%" />
<col width="49%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td>display_range</td>
<td>decimals</td>
<td>sample</td>
</tr>
<tr class="row-even"><td>>50</td>
<td>0</td>
<td><code class="docutils literal"><span class="pre">x</span> <span class="pre">=</span> <span class="pre">34.5</span></code> => 35%</td>
</tr>
<tr class="row-odd"><td>>5</td>
<td>1</td>
<td><code class="docutils literal"><span class="pre">x</span> <span class="pre">=</span> <span class="pre">34.5</span></code> => 34.5%</td>
</tr>
<tr class="row-even"><td>>0.5</td>
<td>2</td>
<td><code class="docutils literal"><span class="pre">x</span> <span class="pre">=</span> <span class="pre">34.5</span></code> => 34.50%</td>
</tr>
<tr class="row-odd"><td>…</td>
<td>…</td>
<td>…</td>
</tr>
</tbody>
</table>
<p>This method will not be very good for tiny axis ranges or
extremely large ones. It assumes that the values on the chart
are percentages displayed on a reasonable scale.</p>
</dd></dl>
<dl class="attribute">
<dt id="matplotlib.ticker.PercentFormatter.symbol">
<code class="descname">symbol</code><a class="headerlink" href="#matplotlib.ticker.PercentFormatter.symbol" title="Permalink to this definition">¶</a></dt>
<dd><p>The configured percent symbol as a string.</p>
<p>If LaTeX is enabled via <code class="docutils literal"><span class="pre">rcParams['text.usetex']</span></code>, the special
characters <code class="xref py py-obj docutils literal"><span class="pre">{'#',</span> <span class="pre">'$',</span> <span class="pre">'%',</span> <span class="pre">'&',</span> <span class="pre">'~',</span> <span class="pre">'_',</span> <span class="pre">'^',</span> <span class="pre">'',</span> <span class="pre">'{',</span> <span class="pre">'}'}</span></code>
are automatically escaped in the string.</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="matplotlib.ticker.Locator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">Locator</code><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"><span class="pre">matplotlib.ticker.TickHelper</span></code></a></p>
<p>Determine the tick locations;</p>
<p>Note, you should not use the same locator between different
<a class="reference internal" href="axis_api.html#matplotlib.axis.Axis" title="matplotlib.axis.Axis"><code class="xref py py-class docutils literal"><span class="pre">Axis</span></code></a> because the locator stores references to
the Axis data and view limits</p>
<dl class="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="method">
<dt id="matplotlib.ticker.Locator.autoscale">
<code class="descname">autoscale</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.autoscale" title="Permalink to this definition">¶</a></dt>
<dd><p>autoscale the view limits</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.pan">
<code class="descname">pan</code><span class="sig-paren">(</span><em>numsteps</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.pan" title="Permalink to this definition">¶</a></dt>
<dd><p>Pan numticks (can be positive or negative)</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.raise_if_exceeds">
<code class="descname">raise_if_exceeds</code><span class="sig-paren">(</span><em>locs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.raise_if_exceeds" title="Permalink to this definition">¶</a></dt>
<dd><p>raise a RuntimeError if Locator attempts to create more than
MAXTICKS locs</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.refresh">
<code class="descname">refresh</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.refresh" title="Permalink to this definition">¶</a></dt>
<dd><p>refresh internal information based on current lim</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Do nothing, and rase a warning. Any locator class not supporting the
set_params() function will call this.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><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"><span class="pre">axis</span></code> simply call
the Locator instance:</p>
<div class="last highlight-default"><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="method">
<dt id="matplotlib.ticker.Locator.view_limits">
<code class="descname">view_limits</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><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>Normally this method is overridden by subclasses to
change locator behaviour.</p>
</dd></dl>
<dl class="method">
<dt id="matplotlib.ticker.Locator.zoom">
<code class="descname">zoom</code><span class="sig-paren">(</span><em>direction</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.Locator.zoom" title="Permalink to this definition">¶</a></dt>
<dd><p>Zoom in/out on axis; if direction is >0 zoom in, else zoom out</p>
</dd></dl>
</dd></dl>
<dl class="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>base</em>, <em>offset</em><span class="sig-paren">)</span><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"><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 on the i-th data points where (i-offset)%base==0</p>
<dl class="method">
<dt id="matplotlib.ticker.IndexLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em>base=None</em>, <em>offset=None</em><span class="sig-paren">)</span><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="method">
<dt id="matplotlib.ticker.IndexLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.IndexLocator.tick_values" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="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>locs</em>, <em>nbins=None</em><span class="sig-paren">)</span><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"><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="method">
<dt id="matplotlib.ticker.FixedLocator.set_params">
<code class="descname">set_params</code><span class="sig-paren">(</span><em>nbins=None</em><span class="sig-paren">)</span><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="method">
<dt id="matplotlib.ticker.FixedLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><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="class">
<dt id="matplotlib.ticker.NullLocator">
<em class="property">class </em><code class="descclassname">matplotlib.ticker.</code><code class="descname">NullLocator</code><a class="headerlink" href="#matplotlib.ticker.NullLocator" 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"><span class="pre">matplotlib.ticker.Locator</span></code></a></p>
<p>No ticks</p>
<dl class="method">
<dt id="matplotlib.ticker.NullLocator.tick_values">
<code class="descname">tick_values</code><span class="sig-paren">(</span><em>vmin</em>, <em>vmax</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.ticker.NullLocator.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 Null, vmin and vmax are not used in this
method.</p>
</div>
</dd></dl>
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