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

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

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

A collection of utility functions and classes. Originally, many

(but not all) were from the Python Cookbook – hence the name cbook.

This module is safe to import from anywhere within matplotlib;

it imports matplotlib only at runtime.

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Bunch</tt><big>(</big>**kwds<big>)</big><a class="headerlink" href="#matplotlib.cbook.Bunch" title="Permalink to this definition">¶</a></dt>

<dd>Often we want to just collect a bunch of stuff together, naming each

item of the bunch; a dictionary’s OK for that, but a small do- nothing

class is even handier, and prettier to use. Whenever you want to

group a few variables:

<div class="highlight-python"><div class="highlight"><pre>>>> point = Bunch(datum=2, squared=4, coord=12)

>>> point.datum

By: Alex Martelli

From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52308

</pre></div>

</div>

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">CallbackRegistry</tt><big>(</big>*args<big>)</big><a class="headerlink" href="#matplotlib.cbook.CallbackRegistry" title="Permalink to this definition">¶</a></dt>

<dd>Handle registering and disconnecting for a set of signals and

callbacks:

<div class="highlight-python"><div class="highlight"><pre>>>> def oneat(x):

... print 'eat', x

>>> def ondrink(x):

... print 'drink', x

</pre></div>

</div>

<div class="highlight-python"><div class="highlight"><pre>>>> from matplotlib.cbook import CallbackRegistry

>>> callbacks = CallbackRegistry()

</pre></div>

</div>

<div class="highlight-python"><div class="highlight"><pre>>>> id_eat = callbacks.connect('eat', oneat)

>>> id_drink = callbacks.connect('drink', ondrink)

</pre></div>

</div>

<div class="highlight-python"><div class="highlight"><pre>>>> callbacks.process('drink', 123)

drink 123

>>> callbacks.process('eat', 456)

eat 456

>>> callbacks.process('be merry', 456) # nothing will be called

>>> callbacks.disconnect(id_eat)

</pre></div>

</div>

In practice, one should always disconnect all callbacks when they

are no longer needed to avoid dangling references (and thus memory

leaks). However, real code in matplotlib rarely does so, and due

to its design, it is rather difficult to place this kind of code.

To get around this, and prevent this class of memory leaks, we

instead store weak references to bound methods only, so when the

destination object needs to die, the CallbackRegistry won’t keep

it alive. The Python stdlib weakref module can not create weak

references to bound methods directly, so we need to create a proxy

object to handle weak references to bound methods (or regular free

functions). This technique was shared by Peter Parente on his

<a class="reference external" href="http://mindtrove.info/articles/python-weak-references/">“Mindtrove” blog</a>.

Deprecated since version 1.3.0.

</div>

<tt class="descname">connect</tt><big>(</big>s, func<big>)</big><a class="headerlink" href="#matplotlib.cbook.CallbackRegistry.connect" title="Permalink to this definition">¶</a></dt>

<dd>register func to be called when a signal s is generated

func will be called

</dd></dl>

<tt class="descname">disconnect</tt><big>(</big>cid<big>)</big><a class="headerlink" href="#matplotlib.cbook.CallbackRegistry.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>disconnect the callback registered with callback id cid

</dd></dl>

<tt class="descname">process</tt><big>(</big>s, *args, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.cbook.CallbackRegistry.process" title="Permalink to this definition">¶</a></dt>

<dd>process signal s. All of the functions registered to receive

callbacks on s will be called with *args and **kwargs

</dd></dl>

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

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Grouper</tt><big>(</big>init=[]<big>)</big><a class="headerlink" href="#matplotlib.cbook.Grouper" title="Permalink to this definition">¶</a></dt>

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

This class provides a lightweight way to group arbitrary objects

together into disjoint sets when a full-blown graph data structure

would be overkill.

Objects can be joined using <a class="reference internal" href="#matplotlib.cbook.Grouper.join" title="matplotlib.cbook.Grouper.join"><tt class="xref py py-meth docutils literal">join()</tt></a>, tested for connectedness

using <a class="reference internal" href="#matplotlib.cbook.Grouper.joined" title="matplotlib.cbook.Grouper.joined"><tt class="xref py py-meth docutils literal">joined()</tt></a>, and all disjoint sets can be retreived by

using the object as an iterator.

The objects being joined must be hashable and weak-referenceable.

For example:

>>> class Foo(object):

... def __init__(self, s):

... self.s = s

... def __repr__(self):

... return self.s

...

>>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef']

>>> grp = Grouper()

>>> grp.join(a, b)

>>> grp.join(b, c)

>>> grp.join(d, e)

>>> sorted(map(tuple, grp))

[(d, e), (a, b, c)]

>>> grp.joined(a, b)

True

False

</pre></div>

</div>

<tt class="descname">clean</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.cbook.Grouper.clean" title="Permalink to this definition">¶</a></dt>

<dd>Clean dead weak references from the dictionary

</dd></dl>

<tt class="descname">get_siblings</tt><big>(</big>a<big>)</big><a class="headerlink" href="#matplotlib.cbook.Grouper.get_siblings" title="Permalink to this definition">¶</a></dt>

<dd>Returns all of the items joined with a, including itself.

</dd></dl>

<dd>Join given arguments into the same set. Accepts one or more

arguments.

</dd></dl>

<tt class="descname">joined</tt><big>(</big>a, b<big>)</big><a class="headerlink" href="#matplotlib.cbook.Grouper.joined" title="Permalink to this definition">¶</a></dt>

<dd>Returns True if a and b are members of the same set.

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Idle</tt><big>(</big>func<big>)</big><a class="headerlink" href="#matplotlib.cbook.Idle" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.cbook.Scheduler" title="matplotlib.cbook.Scheduler"><tt class="xref py py-class docutils literal">matplotlib.cbook.Scheduler</tt></a>

Schedule callbacks when scheduler is idle

<tt class="descname">waittime</tt> = 0.05<a class="headerlink" href="#matplotlib.cbook.Idle.waittime" title="Permalink to this definition">¶</a></dt>

</dd></dl>

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

<dd>Bases: <tt class="xref py py-class docutils literal">exceptions.UserWarning</tt>

A class for issuing deprecation warnings for Matplotlib users.

In light of the fact that Python builtin DeprecationWarnings are ignored

by default as of Python 2.7 (see link below), this class was put in to

allow for the signaling of deprecation, but via UserWarnings which are not

ignored by default.

<a class="reference external" href="http://docs.python.org/dev/whatsnew/2.7.html#the-future-for-python-2-x">http://docs.python.org/dev/whatsnew/2.7.html#the-future-for-python-2-x</a>

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">MemoryMonitor</tt><big>(</big>nmax=20000<big>)</big><a class="headerlink" href="#matplotlib.cbook.MemoryMonitor" title="Permalink to this definition">¶</a></dt>

<tt class="descname">clear</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.cbook.MemoryMonitor.clear" title="Permalink to this definition">¶</a></dt>

<tt class="descname">report</tt><big>(</big>segments=4<big>)</big><a class="headerlink" href="#matplotlib.cbook.MemoryMonitor.report" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Null</tt><big>(</big>*args, **kwargs<big>)</big><a class="headerlink" href="#matplotlib.cbook.Null" title="Permalink to this definition">¶</a></dt>

<dd>Null objects always and reliably “do nothing.”

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">RingBuffer</tt><big>(</big>size_max<big>)</big><a class="headerlink" href="#matplotlib.cbook.RingBuffer" title="Permalink to this definition">¶</a></dt>

<dd>class that implements a not-yet-full buffer

<tt class="descname">append</tt><big>(</big>x<big>)</big><a class="headerlink" href="#matplotlib.cbook.RingBuffer.append" title="Permalink to this definition">¶</a></dt>

<dd>append an element at the end of the buffer

</dd></dl>

<dd>Return a list of elements from the oldest to the newest.

</dd></dl>

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

<dd>Bases: <tt class="xref py py-class docutils literal">threading.Thread</tt>

Base class for timeout and idle scheduling

<tt class="descname">idlelock</tt> = <thread.lock object at 0x15d9730><a class="headerlink" href="#matplotlib.cbook.Scheduler.idlelock" title="Permalink to this definition">¶</a></dt>

</dd></dl>

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

<dd>Sort by attribute or item

Example usage:

<div class="highlight-python"><div class="highlight"><pre>sort = Sorter()

list = [(1, 2), (4, 8), (0, 3)]

dict = [{'a': 3, 'b': 4}, {'a': 5, 'b': 2}, {'a': 0, 'b': 0},

{'a': 9, 'b': 9}]

sort(list) # default sort

sort(list, 1) # sort by index 1

sort(dict, 'a') # sort a list of dicts by key 'a'

</pre></div>

</div>

<tt class="descname">byAttribute</tt><big>(</big>data, attributename, inplace=1<big>)</big><a class="headerlink" href="#matplotlib.cbook.Sorter.byAttribute" title="Permalink to this definition">¶</a></dt>

<tt class="descname">byItem</tt><big>(</big>data, itemindex=None, inplace=1<big>)</big><a class="headerlink" href="#matplotlib.cbook.Sorter.byItem" title="Permalink to this definition">¶</a></dt>

<tt class="descname">sort</tt><big>(</big>data, itemindex=None, inplace=1<big>)</big><a class="headerlink" href="#matplotlib.cbook.Sorter.sort" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Stack</tt><big>(</big>default=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack" title="Permalink to this definition">¶</a></dt>

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

Implement a stack where elements can be pushed on and you can move

back and forth. But no pop. Should mimic home / back / forward

in a browser

<dd>move the position back and return the current element

</dd></dl>

<tt class="descname">bubble</tt><big>(</big>o<big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack.bubble" title="Permalink to this definition">¶</a></dt>

<dd>raise o to the top of the stack and return o. o must be

in the stack

</dd></dl>

<tt class="descname">clear</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack.clear" title="Permalink to this definition">¶</a></dt>

<dd>empty the stack

</dd></dl>

<tt class="descname">empty</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack.empty" title="Permalink to this definition">¶</a></dt>

<tt class="descname">forward</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack.forward" title="Permalink to this definition">¶</a></dt>

<dd>move the position forward and return the current element

</dd></dl>

<dd>push the first element onto the top of the stack

</dd></dl>

<dd>push object onto stack at current position - all elements

occurring later than the current position are discarded

</dd></dl>

<tt class="descname">remove</tt><big>(</big>o<big>)</big><a class="headerlink" href="#matplotlib.cbook.Stack.remove" title="Permalink to this definition">¶</a></dt>

<dd>remove element o from the stack

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">Timeout</tt><big>(</big>wait, func<big>)</big><a class="headerlink" href="#matplotlib.cbook.Timeout" title="Permalink to this definition">¶</a></dt>

Schedule recurring events with a wait time in seconds

</dd></dl>

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

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

All-in-one multiple-string-substitution class

Example usage:

<div class="highlight-python"><div class="highlight"><pre>text = "Larry Wall is the creator of Perl"

adict = {

"Larry Wall" : "Guido van Rossum",

"creator" : "Benevolent Dictator for Life",

"Perl" : "Python",

}

print multiple_replace(adict, text)

xlat = Xlator(adict)

print xlat.xlat(text)

</pre></div>

</div>

<dd>Translate text, returns the modified text.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">align_iterators</tt><big>(</big>func, *iterables<big>)</big><a class="headerlink" href="#matplotlib.cbook.align_iterators" title="Permalink to this definition">¶</a></dt>

<dd>This generator takes a bunch of iterables that are ordered by func

It sends out ordered tuples:

<div class="highlight-python"><pre>(func(row), [rows from all iterators matching func(row)])</pre>

</div>

It is used by <a class="reference internal" href="mlab_api.html#matplotlib.mlab.recs_join" title="matplotlib.mlab.recs_join"><tt class="xref py py-func docutils literal">matplotlib.mlab.recs_join()</tt></a> to join record arrays

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">allequal</tt><big>(</big>seq<big>)</big><a class="headerlink" href="#matplotlib.cbook.allequal" title="Permalink to this definition">¶</a></dt>

<dd>Return True if all elements of seq compare equal. If seq is

0 or 1 length, return True

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">allpairs</tt><big>(</big>x<big>)</big><a class="headerlink" href="#matplotlib.cbook.allpairs" title="Permalink to this definition">¶</a></dt>

<dd>return all possible pairs in sequence x

Condensed by Alex Martelli from this <a class="reference external" href="http://groups.google.com/groups?q=all+pairs+group:*python*&hl=en&lr=&ie=UTF-8&selm=mailman.4028.1096403649.5135.python-list%40python.org&rnum=1">thread</a> on c.l.python

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">alltrue</tt><big>(</big>seq<big>)</big><a class="headerlink" href="#matplotlib.cbook.alltrue" title="Permalink to this definition">¶</a></dt>

<dd>Return True if all elements of seq evaluate to True. If

seq is empty, return False.

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">converter</tt><big>(</big>missing='Null', missingval=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.converter" title="Permalink to this definition">¶</a></dt>

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

Base class for handling string -> python type with support for

missing values

<tt class="descname">is_missing</tt><big>(</big>s<big>)</big><a class="headerlink" href="#matplotlib.cbook.converter.is_missing" title="Permalink to this definition">¶</a></dt>

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">dedent</tt><big>(</big>s<big>)</big><a class="headerlink" href="#matplotlib.cbook.dedent" title="Permalink to this definition">¶</a></dt>

<dd>Remove excess indentation from docstring s.

Discards any leading blank lines, then removes up to n whitespace

characters from each line, where n is the number of leading

whitespace characters in the first line. It differs from

textwrap.dedent in its deletion of leading blank lines and its use

of the first non-blank line to determine the indentation.

It is also faster in most cases.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">delete_masked_points</tt><big>(</big>*args<big>)</big><a class="headerlink" href="#matplotlib.cbook.delete_masked_points" title="Permalink to this definition">¶</a></dt>

<dd>Find all masked and/or non-finite points in a set of arguments,

and return the arguments with only the unmasked points remaining.

Arguments can be in any of 5 categories:

<li>1-D masked arrays</li>

<li>1-D ndarrays</li>

<li>ndarrays with more than one dimension</li>

<li>other non-string iterables</li>

<li>anything else</li>

</ol>

The first argument must be in one of the first four categories;

any argument with a length differing from that of the first

argument (and hence anything in category 5) then will be

passed through unchanged.

Masks are obtained from all arguments of the correct length

in categories 1, 2, and 4; a point is bad if masked in a masked

array or if it is a nan or inf. No attempt is made to

extract a mask from categories 2, 3, and 4 if <tt class="xref py py-meth docutils literal">np.isfinite()</tt>

does not yield a Boolean array.

All input arguments that are not passed unchanged are returned

as ndarrays after removing the points or rows corresponding to

masks in any of the arguments.

A vastly simpler version of this function was originally

written as a helper for Axes.scatter().

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">dict_delall</tt><big>(</big>d, keys<big>)</big><a class="headerlink" href="#matplotlib.cbook.dict_delall" title="Permalink to this definition">¶</a></dt>

<dd>delete all of the keys from the <tt class="xref py py-class docutils literal">dict</tt> d

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">exception_to_str</tt><big>(</big>s=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.exception_to_str" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">finddir</tt><big>(</big>o, match, case=False<big>)</big><a class="headerlink" href="#matplotlib.cbook.finddir" title="Permalink to this definition">¶</a></dt>

<dd>return all attributes of o which match string in match. if case

is True require an exact case match.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">flatten</tt><big>(</big>seq, scalarp=<function is_scalar_or_string at 0x1d20aa0><big>)</big><a class="headerlink" href="#matplotlib.cbook.flatten" title="Permalink to this definition">¶</a></dt>

<dd>Returns a generator of flattened nested containers

For example:

>>> l = (('John', ['Hunter']), (1, 23), [[([42, (5, 23)], )]])

>>> print list(flatten(l))

['John', 'Hunter', 1, 23, 42, 5, 23]

</pre></div>

</div>

By: Composite of Holger Krekel and Luther Blissett

From: <a class="reference external" href="http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294">http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294</a>

and Recipe 1.12 in cookbook

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">get_recursive_filelist</tt><big>(</big>args<big>)</big><a class="headerlink" href="#matplotlib.cbook.get_recursive_filelist" title="Permalink to this definition">¶</a></dt>

<dd>Recurse all the files and dirs in args ignoring symbolic links

and return the files as a list of strings

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">get_sample_data</tt><big>(</big>fname, asfileobj=True<big>)</big><a class="headerlink" href="#matplotlib.cbook.get_sample_data" title="Permalink to this definition">¶</a></dt>

<dd>Return a sample data file. fname is a path relative to the

<tt class="xref py py-obj docutils literal">mpl-data/sample_data</tt> directory. If asfileobj is <tt class="xref py py-obj docutils literal">True</tt>

return a file object, otherwise just a file path.

Set the rc parameter examples.directory to the directory where we should

look, if sample_data files are stored in a location different than

default (which is ‘mpl-data/sample_data` at the same level of ‘matplotlib`

Python module files).

If the filename ends in .gz, the file is implicitly ungzipped.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">get_split_ind</tt><big>(</big>seq, N<big>)</big><a class="headerlink" href="#matplotlib.cbook.get_split_ind" title="Permalink to this definition">¶</a></dt>

<dd>seq is a list of words. Return the index into seq such that:

</div>

.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_math_text</tt><big>(</big>s<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_math_text" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_numlike</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_numlike" title="Permalink to this definition">¶</a></dt>

<dd>return true if obj looks like a number

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_scalar</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_scalar" title="Permalink to this definition">¶</a></dt>

<dd>return true if obj is not string like and is not iterable

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_scalar_or_string</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_scalar_or_string" title="Permalink to this definition">¶</a></dt>

<dd>Return whether the given object is a scalar or string like.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_sequence_of_strings</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_sequence_of_strings" title="Permalink to this definition">¶</a></dt>

<dd>Returns true if obj is iterable and contains strings

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_string_like</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_string_like" title="Permalink to this definition">¶</a></dt>

<dd>Return True if obj looks like a string

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">is_writable_file_like</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.is_writable_file_like" title="Permalink to this definition">¶</a></dt>

<dd>return true if obj looks like a file object with a write method

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">issubclass_safe</tt><big>(</big>x, klass<big>)</big><a class="headerlink" href="#matplotlib.cbook.issubclass_safe" title="Permalink to this definition">¶</a></dt>

<dd>return issubclass(x, klass) and return False on a TypeError

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">iterable</tt><big>(</big>obj<big>)</big><a class="headerlink" href="#matplotlib.cbook.iterable" title="Permalink to this definition">¶</a></dt>

<dd>return true if obj is iterable

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">listFiles</tt><big>(</big>root, patterns='*', recurse=1, return_folders=0<big>)</big><a class="headerlink" href="#matplotlib.cbook.listFiles" title="Permalink to this definition">¶</a></dt>

<dd>Recursively list files

from Parmar and Martelli in the Python Cookbook

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">maxdict</tt><big>(</big>maxsize<big>)</big><a class="headerlink" href="#matplotlib.cbook.maxdict" title="Permalink to this definition">¶</a></dt>

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

A dictionary with a maximum size; this doesn’t override all the

relevant methods to contrain size, just setitem, so use with

caution

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">mkdirs</tt><big>(</big>newdir, mode=511<big>)</big><a class="headerlink" href="#matplotlib.cbook.mkdirs" title="Permalink to this definition">¶</a></dt>

<dd>make directory newdir recursively, and set mode. Equivalent to

<div class="highlight-python"><pre>> mkdir -p NEWDIR

> chmod MODE NEWDIR</pre>

</div>

</dd></dl>

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

<dd>alias of <a class="reference internal" href="#matplotlib.cbook.MatplotlibDeprecationWarning" title="matplotlib.cbook.MatplotlibDeprecationWarning"><tt class="xref py py-class docutils literal">MatplotlibDeprecationWarning</tt></a>

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">onetrue</tt><big>(</big>seq<big>)</big><a class="headerlink" href="#matplotlib.cbook.onetrue" title="Permalink to this definition">¶</a></dt>

<dd>Return True if one element of seq is True. It seq is

empty, return False.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">pieces</tt><big>(</big>seq, num=2<big>)</big><a class="headerlink" href="#matplotlib.cbook.pieces" title="Permalink to this definition">¶</a></dt>

<dd>Break up the seq into num tuples

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">popall</tt><big>(</big>seq<big>)</big><a class="headerlink" href="#matplotlib.cbook.popall" title="Permalink to this definition">¶</a></dt>

<dd>empty a list

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">print_cycles</tt><big>(</big>objects, outstream=<open file '<stdout>', mode 'w' at 0x7fb3f687c1e0>, show_progress=False<big>)</big><a class="headerlink" href="#matplotlib.cbook.print_cycles" title="Permalink to this definition">¶</a></dt>

<dt>objects</dt>

<dd>A list of objects to find cycles in. It is often useful to

pass in gc.garbage to find the cycles that are preventing some

objects from being garbage collected.</dd>

<dt>outstream</dt>

<dd>The stream for output.</dd>

<dt>show_progress</dt>

<dd>If True, print the number of objects reached as they are found.</dd>

</dl>

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">recursive_remove</tt><big>(</big>path<big>)</big><a class="headerlink" href="#matplotlib.cbook.recursive_remove" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">report_memory</tt><big>(</big>i=0<big>)</big><a class="headerlink" href="#matplotlib.cbook.report_memory" title="Permalink to this definition">¶</a></dt>

<dd>return the memory consumed by process

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">restrict_dict</tt><big>(</big>d, keys<big>)</big><a class="headerlink" href="#matplotlib.cbook.restrict_dict" title="Permalink to this definition">¶</a></dt>

<dd>Return a dictionary that contains those keys that appear in both

d and keys, with values from d.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">reverse_dict</tt><big>(</big>d<big>)</big><a class="headerlink" href="#matplotlib.cbook.reverse_dict" title="Permalink to this definition">¶</a></dt>

<dd>reverse the dictionary – may lose data if values are not unique!

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">safe_masked_invalid</tt><big>(</big>x<big>)</big><a class="headerlink" href="#matplotlib.cbook.safe_masked_invalid" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">safezip</tt><big>(</big>*args<big>)</big><a class="headerlink" href="#matplotlib.cbook.safezip" title="Permalink to this definition">¶</a></dt>

<dd>make sure args are equal len before zipping

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">silent_list</tt><big>(</big>type, seq=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.silent_list" title="Permalink to this definition">¶</a></dt>

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

override repr when returning a list of matplotlib artists to

prevent long, meaningless output. This is meant to be used for a

homogeneous list of a given type

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">simple_linear_interpolation</tt><big>(</big>a, steps<big>)</big><a class="headerlink" href="#matplotlib.cbook.simple_linear_interpolation" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">soundex</tt><big>(</big>name, len=4<big>)</big><a class="headerlink" href="#matplotlib.cbook.soundex" title="Permalink to this definition">¶</a></dt>

<dd>soundex module conforming to Odell-Russell algorithm

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">strip_math</tt><big>(</big>s<big>)</big><a class="headerlink" href="#matplotlib.cbook.strip_math" title="Permalink to this definition">¶</a></dt>

<dd>remove latex formatting from mathtext

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">to_filehandle</tt><big>(</big>fname, flag='rU', return_opened=False<big>)</big><a class="headerlink" href="#matplotlib.cbook.to_filehandle" title="Permalink to this definition">¶</a></dt>

<dd>fname can be a filename or a file handle. Support for gzipped

files is automatic, if the filename ends in .gz. flag is a

read/write flag for <tt class="xref py py-func docutils literal">file()</tt>

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">todate</tt><big>(</big>fmt='%Y-%m-%d', missing='Null', missingval=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.todate" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.cbook.converter" title="matplotlib.cbook.converter"><tt class="xref py py-class docutils literal">matplotlib.cbook.converter</tt></a>

convert to a date or None

use a <tt class="xref py py-func docutils literal">time.strptime()</tt> format string for conversion

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">todatetime</tt><big>(</big>fmt='%Y-%m-%d', missing='Null', missingval=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.todatetime" title="Permalink to this definition">¶</a></dt>

convert to a datetime or None

use a <tt class="xref py py-func docutils literal">time.strptime()</tt> format string for conversion

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">tofloat</tt><big>(</big>missing='Null', missingval=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.tofloat" title="Permalink to this definition">¶</a></dt>

convert to a float or None

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">toint</tt><big>(</big>missing='Null', missingval=None<big>)</big><a class="headerlink" href="#matplotlib.cbook.toint" title="Permalink to this definition">¶</a></dt>

convert to an int or None

</dd></dl>

class <tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">tostr</tt><big>(</big>missing='Null', missingval=''<big>)</big><a class="headerlink" href="#matplotlib.cbook.tostr" title="Permalink to this definition">¶</a></dt>

convert to string or None

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">unicode_safe</tt><big>(</big>s<big>)</big><a class="headerlink" href="#matplotlib.cbook.unicode_safe" title="Permalink to this definition">¶</a></dt>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">unique</tt><big>(</big>x<big>)</big><a class="headerlink" href="#matplotlib.cbook.unique" title="Permalink to this definition">¶</a></dt>

<dd>Return a list of unique elements of x

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">unmasked_index_ranges</tt><big>(</big>mask, compressed=True<big>)</big><a class="headerlink" href="#matplotlib.cbook.unmasked_index_ranges" title="Permalink to this definition">¶</a></dt>

<dd>Find index ranges where mask is False.

mask will be flattened if it is not already 1-D.

Returns Nx2 <tt class="xref py py-class docutils literal">numpy.ndarray</tt> with each row the start and stop

indices for slices of the compressed <tt class="xref py py-class docutils literal">numpy.ndarray</tt>

corresponding to each of N uninterrupted runs of unmasked

values. If optional argument compressed is False, it returns

the start and stop indices into the original <tt class="xref py py-class docutils literal">numpy.ndarray</tt>,

not the compressed <tt class="xref py py-class docutils literal">numpy.ndarray</tt>. Returns None if there

are no unmasked values.

Example:

<div class="highlight-python"><div class="highlight"><pre>y = ma.array(np.arange(5), mask = [0,0,1,0,0])

ii = unmasked_index_ranges(ma.getmaskarray(y))

# returns array [[0,2,] [2,4,]]

y.compressed()[ii[1,0]:ii[1,1]]

# returns array [3,4,]

# returns array [[0, 2], [3, 5]]

y.filled()[ii[1,0]:ii[1,1]]

# returns array [3,4,]

</pre></div>

</div>

Prior to the transforms refactoring, this was used to support

masked arrays in Line2D.

</dd></dl>

<tt class="descclassname">matplotlib.cbook.</tt><tt class="descname">wrap</tt><big>(</big>prefix, text, cols<big>)</big><a class="headerlink" href="#matplotlib.cbook.wrap" title="Permalink to this definition">¶</a></dt>

<dd>wrap text with prefix at length cols

</dd></dl>

</div>

</div>

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