matplotlib.github.com/1.5.0/api/cbook_api.html at refs/heads/main · matplotlib/matplotlib.github.com

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

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>cbook — Matplotlib 1.5.0 documentation</title>

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<div id="unreleased-message"> You are reading an old version of the documentation (v1.5.0). For the latest version see <a href="https://matplotlib.org/stable/api/cbook_api.html">https://matplotlib.org/stable/api/cbook_api.html</a></div>

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

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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"><code class="xref py py-mod docutils literal">matplotlib.cbook</code></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 <code class="descclassname">matplotlib.cbook.</code><code class="descname">Bunch</code>(**kwds)<a class="headerlink" href="#matplotlib.cbook.Bunch" title="Permalink to this definition">¶</a></dt>

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

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

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

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>.

<code class="descname">connect</code>(s, func)<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>

<code class="descname">disconnect</code>(cid)<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>

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

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

</dd></dl>

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

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

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"><code class="xref py py-meth docutils literal">join()</code></a>, tested for connectedness

using <a class="reference internal" href="#matplotlib.cbook.Grouper.joined" title="matplotlib.cbook.Grouper.joined"><code class="xref py py-meth docutils literal">joined()</code></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))

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

>>> grp.joined(a, b)

True

False

</pre></div>

</div>

<code class="descname">clean</code>()<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>

<code class="descname">get_siblings</code>(a)<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>

<code class="descname">joined</code>(a, b)<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>

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

<dd>Bases: <code class="xref py py-class docutils literal">UserWarning</code>

A class for issuing warnings about keyword arguments that will be ignored

by matplotlib

</dd></dl>

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

<dd>Bases: <code class="xref py py-class docutils literal">UserWarning</code>

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

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

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

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

</dd></dl>

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

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

Null objects always and reliably “do nothing.”

</dd></dl>

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

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

class that implements a not-yet-full buffer

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

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

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>

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

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

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

</dd></dl>

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

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

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>

<code class="descname">bubble</code>(o)<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>

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

<dd>empty the stack

</dd></dl>

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

<code class="descname">forward</code>()<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>

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

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

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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">align_iterators</code>(func, *iterables)<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"><div class="highlight"><pre>(func(row), [rows from all iterators matching func(row)])

</pre></div>

</div>

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

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">allequal</code>(seq)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">allpairs</code>(x)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">alltrue</code>(seq)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">boxplot_stats</code>(X, whis=1.5, bootstrap=None, labels=None)<a class="headerlink" href="#matplotlib.cbook.boxplot_stats" title="Permalink to this definition">¶</a></dt>

<dd>Returns list of dictionaries of staticists to be use to draw a series of

box and whisker plots. See the <code class="xref py py-obj docutils literal">Returns</code> section below to the required

keys of the dictionary. Users can skip this function and pass a user-

defined set of dictionaries to the new <code class="xref py py-obj docutils literal">axes.bxp</code> method instead of

relying on MPL to do the calcs.

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">X : array-like

<div>Data that will be represented in the boxplots. Should have 2 or fewer

dimensions.

</div></blockquote>

whis : float, string, or sequence (default = 1.5)

<div>As a float, determines the reach of the whiskers past the first and

third quartiles (e.g., Q3 + whis*IQR, QR = interquartile range, Q3-Q1).

Beyond the whiskers, data are considered outliers and are plotted as

individual points. Set this to an unreasonably high value to force the

whiskers to show the min and max data. Alternatively, set this to an

ascending sequence of percentile (e.g., [5, 95]) to set the whiskers

at specific percentiles of the data. Finally, can <code class="xref py py-obj docutils literal">whis</code> be the

string ‘range’ to force the whiskers to the min and max of the data.

In the edge case that the 25th and 75th percentiles are equivalent,

<code class="xref py py-obj docutils literal">whis</code> will be automatically set to ‘range’

</div></blockquote>

bootstrap : int or None (default)

<div>Number of times the confidence intervals around the median should

be bootstrapped (percentile method).

</div></blockquote>

labels : sequence

<div>Labels for each dataset. Length must be compatible with dimensions

of <code class="xref py py-obj docutils literal">X</code>

</div></blockquote>

</td>

</tr>

<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">bxpstats : list of dict

<div>A list of dictionaries containing the results for each column

of data. Keys of each dictionary are the following:

</colgroup>

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

</tr>

</thead>

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

<td>tick label for the boxplot</td>

</tr>

<td>arithemetic mean value</td>

</tr>

<td>50th percentile</td>

</tr>

<td>first quartile (25th percentile)</td>

</tr>

<td>third quartile (75th percentile)</td>

</tr>

<td>lower notch around the median</td>

</tr>

<td>upper notch around the median</td>

</tr>

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

<td>end of the lower whisker</td>

</tr>

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

<td>end of the upper whisker</td>

</tr>

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

<td>outliers</td>

</tr>

</tbody>

</table>

</div></blockquote>

</td>

</tr>

</tbody>

</table>

Notes

Non-bootstrapping approach to confidence interval uses Gaussian-based

asymptotic approximation:

<img src="../_images/mathmpl/math-1742f7b9ed.png" class="center" />General approach from:

McGill, R., Tukey, J.W., and Larsen, W.A. (1978) “Variations of

Boxplots”, The American Statistician, 32:12-16.

</dd></dl>

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

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

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

missing values

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

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">dedent</code>(s)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">delete_masked_points</code>(*args)<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 <code class="xref py py-meth docutils literal">np.isfinite()</code>

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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">deprecated</code>(since, message='', name='', alternative='', pending=False, obj_type='function')<a class="headerlink" href="#matplotlib.cbook.deprecated" title="Permalink to this definition">¶</a></dt>

<dd>Decorator to mark a function as deprecated.

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">since : str

<div>The release at which this API became deprecated. This is

required.

</div></blockquote>

message : str, optional

<div>Override the default deprecation message. The format

specifier <code class="xref py py-obj docutils literal">%(func)s</code> may be used for the name of the function,

and <code class="xref py py-obj docutils literal">%(alternative)s</code> may be used in the deprecation message

to insert the name of an alternative to the deprecated

function. <code class="xref py py-obj docutils literal">%(obj_type)</code> may be used to insert a friendly name

for the type of object being deprecated.

</div></blockquote>

name : str, optional

<div>The name of the deprecated function; if not provided the name

is automatically determined from the passed in function,

though this is useful in the case of renamed functions, where

the new function is just assigned to the name of the

deprecated function. For example:

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

...

oldFunction = new_function

</pre></div>

</div>

</div></blockquote>

alternative : str, optional

<div>An alternative function that the user may use in place of the

deprecated function. The deprecation warning will tell the user about

this alternative if provided.

</div></blockquote>

pending : bool, optional

<div>If True, uses a PendingDeprecationWarning instead of a

DeprecationWarning.

</div></blockquote>

</td>

</tr>

</tbody>

</table>

Examples

Basic example:

<div class="highlight-python"><div class="highlight"><pre>@deprecated('1.4.0')

def the_function_to_deprecate():

pass

</pre></div>

</div>

</dd></dl>

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

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

</dd></dl>

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

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

<dd>Returns <code class="xref py py-obj docutils literal">True</code> if the given writable file-like object requires Unicode

to be written to it.

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">finddir</code>(o, match, case=False)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">flatten</code>(seq, scalarp=<function is_scalar_or_string>)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">get_label</code>(y, default_name)<a class="headerlink" href="#matplotlib.cbook.get_label" title="Permalink to this definition">¶</a></dt>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">get_recursive_filelist</code>(args)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">get_sample_data</code>(fname, asfileobj=True)<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

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

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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">get_split_ind</code>(seq, N)<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 class="highlight-python"><div class="highlight"><pre>len(' '.join(seq[:ind])<=N

</pre></div>

</div>

.

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">index_of</code>(y)<a class="headerlink" href="#matplotlib.cbook.index_of" title="Permalink to this definition">¶</a></dt>

<dd>A helper function to get the index of an input to plot

against if x values are not explicitly given.

Tries to get <code class="xref py py-obj docutils literal">y.index</code> (works if this is a pd.Series), if that

fails, return np.arange(y.shape[0]).

This will be extended in the future to deal with more types of

labeled data.

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">y : scalar or array-like

<div>The proposed y-value

</div></blockquote>

</td>

</tr>

<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">x, y : ndarray

<div>The x and y values to plot.

</div></blockquote>

</td>

</tr>

</tbody>

</table>

</dd></dl>

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

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_numlike</code>(obj)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_scalar</code>(obj)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_scalar_or_string</code>(val)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_sequence_of_strings</code>(obj)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_string_like</code>(obj)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">is_writable_file_like</code>(obj)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">issubclass_safe</code>(x, klass)<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>

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

<dd>return true if obj is iterable

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">listFiles</code>(root, patterns='*', recurse=1, return_folders=0)<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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">local_over_kwdict</code>(local_var, kwargs, *keys)<a class="headerlink" href="#matplotlib.cbook.local_over_kwdict" title="Permalink to this definition">¶</a></dt>

<dd>Enforces the priority of a local variable over potentially conflicting

argument(s) from a kwargs dict. The following possible output values are

considered in order of priority:

<div>local_var > kwargs[keys[0]] > ... > kwargs[keys[-1]]</div></blockquote>

The first of these whose value is not None will be returned. If all are

None then None will be returned. Each key in keys will be removed from the

kwargs dict in place.

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">local_var: any object

<div>The local variable (highest priority)

</div></blockquote>

<dt>kwargs: dict</dt>

<dd>Dictionary of keyword arguments; modified in place

</dd>

<dd>Name(s) of keyword arguments to process, in descending order of

priority

</dd>

</dl>

</div></blockquote>

</td>

</tr>

<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">out: any object

<div>Either local_var or one of kwargs[key] for key in keys

</div></blockquote>

</td>

</tr>

<tr class="field-odd field"><th class="field-name">Raises:</th><td class="field-body">IgnoredKeywordWarning

<div>For each key in keys that is removed from kwargs but not used as

the output value

</div></blockquote>

</td>

</tr>

</tbody>

</table>

</dd></dl>

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

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

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>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">mkdirs</code>(newdir, mode=511)<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"><div class="highlight"><pre>> mkdir -p NEWDIR

> chmod MODE NEWDIR

</pre></div>

</div>

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">mplDeprecation</code><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"><code class="xref py py-class docutils literal">MatplotlibDeprecationWarning</code></a>

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">onetrue</code>(seq)<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>

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

<dd>Break up the seq into num tuples

</dd></dl>

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

<dd>empty a list

</dd></dl>

<code class="descclassname">matplotlib.cbook.</code><code class="descname">print_cycles</code>(objects, outstream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>, show_progress=False)<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>

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