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

<li><a class="reference internal" href="#module-matplotlib.units"><tt class="docutils literal">matplotlib.units</tt></a></li>

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<h1>units<a class="headerlink" href="#units" title="Permalink to this headline">¶</a></h1>

<h2><a class="reference internal" href="#module-matplotlib.units" title="matplotlib.units"><tt class="xref py py-mod docutils literal">matplotlib.units</tt></a><a class="headerlink" href="#module-matplotlib.units" title="Permalink to this headline">¶</a></h2>

The classes here provide support for using custom classes with

matplotlib, eg those that do not expose the array interface but know

how to converter themselves to arrays. It also supoprts classes with

units and units conversion. Use cases include converters for custom

objects, eg a list of datetime objects, as well as for objects that

are unit aware. We don’t assume any particular units implementation,

rather a units implementation must provide a ConversionInterface, and

the register with the Registry converter dictionary. For example,

here is a complete implementation which supports plotting with native

datetime objects:

<div class="highlight-python"><div class="highlight"><pre>import matplotlib.units as units

import matplotlib.dates as dates

import matplotlib.ticker as ticker

import datetime

class DateConverter(units.ConversionInterface):

@staticmethod

def convert(value, unit, axis):

'convert value to a scalar or array'

return dates.date2num(value)

@staticmethod

def axisinfo(unit, axis):

'return major and minor tick locators and formatters'

if unit!='date': return None

majloc = dates.AutoDateLocator()

majfmt = dates.AutoDateFormatter(majloc)

return AxisInfo(majloc=majloc,

majfmt=majfmt,

label='date')

@staticmethod

def default_units(x, axis):

'return the default unit for x or None'

return 'date'

# finally we register our object type with a converter

units.registry[datetime.date] = DateConverter()

</pre></div>

</div>

class <tt class="descclassname">matplotlib.units.</tt><tt class="descname">AxisInfo</tt>(majloc=None, minloc=None, majfmt=None, minfmt=None, label=None, default_limits=None)<a class="headerlink" href="#matplotlib.units.AxisInfo" title="Permalink to this definition">¶</a></dt>

<dd>information to support default axis labeling and tick labeling, and

default limits

majloc and minloc: TickLocators for the major and minor ticks

majfmt and minfmt: TickFormatters for the major and minor ticks

label: the default axis label

default_limits: the default min, max of the axis if no data is present

If any of the above are None, the axis will simply use the default

</dd></dl>

class <tt class="descclassname">matplotlib.units.</tt><tt class="descname">ConversionInterface</tt><a class="headerlink" href="#matplotlib.units.ConversionInterface" title="Permalink to this definition">¶</a></dt>

<dd>The minimal interface for a converter to take custom instances (or

sequences) and convert them to values mpl can use

static <tt class="descname">axisinfo</tt>(unit, axis)<a class="headerlink" href="#matplotlib.units.ConversionInterface.axisinfo" title="Permalink to this definition">¶</a></dt>

<dd>return an units.AxisInfo instance for axis with the specified units

</dd></dl>

static <tt class="descname">convert</tt>(obj, unit, axis)<a class="headerlink" href="#matplotlib.units.ConversionInterface.convert" title="Permalink to this definition">¶</a></dt>

<dd>convert obj using unit for the specified axis. If obj is a sequence,

return the converted sequence. The ouput must be a sequence of scalars

that can be used by the numpy array layer

</dd></dl>

static <tt class="descname">default_units</tt>(x, axis)<a class="headerlink" href="#matplotlib.units.ConversionInterface.default_units" title="Permalink to this definition">¶</a></dt>

<dd>return the default unit for x or None for the given axis

</dd></dl>

static <tt class="descname">is_numlike</tt>(x)<a class="headerlink" href="#matplotlib.units.ConversionInterface.is_numlike" title="Permalink to this definition">¶</a></dt>

<dd>The matplotlib datalim, autoscaling, locators etc work with

scalars which are the units converted to floats given the

current unit. The converter may be passed these floats, or

arrays of them, even when units are set. Derived conversion

interfaces may opt to pass plain-ol unitless numbers through

the conversion interface and this is a helper function for

them.

</dd></dl>

class <tt class="descclassname">matplotlib.units.</tt><tt class="descname">Registry</tt><a class="headerlink" href="#matplotlib.units.Registry" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <tt class="xref py py-class docutils literal">dict</tt>

register types with conversion interface

<tt class="descname">get_converter</tt>(x)<a class="headerlink" href="#matplotlib.units.Registry.get_converter" title="Permalink to this definition">¶</a></dt>

<dd>get the converter interface instance for x, or None

</dd></dl>

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Last updated on Sep 02, 2014.

Created using <a

href="http://sphinx-doc.org/">Sphinx</a> 1.3a0.

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