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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>matplotlib.category — Matplotlib 3.1.3 documentation</title>

type="text/css" />

type="text/css" />

title="Search within Matplotlib 3.1.3 documentation"

href="../../_static/opensearch.xml"/>

</head>

<body>

<div style="float: left; position: absolute; width: 496px; bottom: 0; padding-bottom: 24px">Version 3.1.3</div>

<div id="forkongithub"><a href="https://github.com/matplotlib/matplotlib">Fork me on GitHub</a></div>

</div>

<ul>

<li><a href="../../users/installing.html">Installation</a></li>

<li><a href="../../contents.html">Documentation</a></li>

<li><a href="../../gallery/index.html">Examples</a></li>

<li><a href="../../tutorials/index.html">Tutorials</a></li>

<li><a href="../../devel/index.html">Contributing</a></li>

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>modules</a> |</li>

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<li><a href="../index.html" >Module code</a> »</li>

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</div>

<h1>Source code for matplotlib.category</h1><div class="highlight"><pre>

"""

Module that allows plotting of string "category" data. i.e.

``plot(['d', 'f', 'a'],[1, 2, 3])`` will plot three points with x-axis

values of 'd', 'f', 'a'.

See :doc:`/gallery/lines_bars_and_markers/categorical_variables` for an

example.

The module uses Matplotlib's `matplotlib.units` mechanism to convert from

strings to integers, provides a tick locator and formatter, and the

class:`.UnitData` that creates and stores the string-to-integer mapping.

"""

from collections import OrderedDict

import dateutil.parser

import itertools

import logging

import numpy as np

import matplotlib.cbook as cbook

import matplotlib.units as units

import matplotlib.ticker as ticker

_log = logging.getLogger(__name__)

<div class="viewcode-block" id="StrCategoryConverter"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryConverter">[docs]</a>class StrCategoryConverter(units.ConversionInterface):

<div class="viewcode-block" id="StrCategoryConverter.convert"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryConverter.convert">[docs]</a> @staticmethod

def convert(value, unit, axis):

"""Convert strings in value to floats using

mapping information store in the unit object.

Parameters

----------

value : string or iterable

Value or list of values to be converted.

unit : `.UnitData`

An object mapping strings to integers.

axis : `~matplotlib.axis.Axis`

axis on which the converted value is plotted.

.. note:: *axis* is unused.

Returns

-------

mapped_value : float or ndarray[float]

"""

if unit is None:

raise ValueError(

'Missing category information for StrCategoryConverter; '

'this might be caused by unintendedly mixing categorical and '

'numeric data')

# dtype = object preserves numerical pass throughs

values = np.atleast_1d(np.array(value, dtype=object))

# pass through sequence of non binary numbers

if all((units.ConversionInterface.is_numlike(v) and

not isinstance(v, (str, bytes))) for v in values):

return np.asarray(values, dtype=float)

# force an update so it also does type checking

unit.update(values)

str2idx = np.vectorize(unit._mapping.__getitem__,

otypes=[float])

mapped_value = str2idx(values)

return mapped_value</div>

<div class="viewcode-block" id="StrCategoryConverter.axisinfo"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryConverter.axisinfo">[docs]</a> @staticmethod

def axisinfo(unit, axis):

"""Sets the default axis ticks and labels

Parameters

----------

unit : `.UnitData`

object string unit information for value

axis : `~matplotlib.Axis.axis`

axis for which information is being set

Returns

-------

axisinfo : `~matplotlib.units.AxisInfo`

Information to support default tick labeling

.. note: axis is not used

"""

# locator and formatter take mapping dict because

# args need to be pass by reference for updates

majloc = StrCategoryLocator(unit._mapping)

majfmt = StrCategoryFormatter(unit._mapping)

return units.AxisInfo(majloc=majloc, majfmt=majfmt)</div>

<div class="viewcode-block" id="StrCategoryConverter.default_units"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryConverter.default_units">[docs]</a> @staticmethod

def default_units(data, axis):

"""Sets and updates the :class:`~matplotlib.Axis.axis` units.

Parameters

----------

data : string or iterable of strings

axis : `~matplotlib.Axis.axis`

axis on which the data is plotted

Returns

-------

class : `.UnitData`

object storing string to integer mapping

"""

# the conversion call stack is supposed to be

# default_units->axis_info->convert

if axis.units is None:

axis.set_units(UnitData(data))

else:

axis.units.update(data)

return axis.units</div></div>

<div class="viewcode-block" id="StrCategoryLocator"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryLocator">[docs]</a>class StrCategoryLocator(ticker.Locator):

"""tick at every integer mapping of the string data"""

def __init__(self, units_mapping):

"""

Parameters

-----------

units_mapping : Dict[str, int]

string:integer mapping

"""

self._units = units_mapping

def __call__(self):

return list(self._units.values())

<div class="viewcode-block" id="StrCategoryLocator.tick_values"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryLocator.tick_values">[docs]</a> def tick_values(self, vmin, vmax):

return self()</div></div>

<div class="viewcode-block" id="StrCategoryFormatter"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.StrCategoryFormatter">[docs]</a>class StrCategoryFormatter(ticker.Formatter):

"""String representation of the data at every tick"""

def __init__(self, units_mapping):

"""

Parameters

----------

units_mapping : Dict[Str, int]

string:integer mapping

"""

self._units = units_mapping

def __call__(self, x, pos=None):

if pos is None:

return ""

r_mapping = {v: StrCategoryFormatter._text(k)

for k, v in self._units.items()}

return r_mapping.get(int(np.round(x)), '')

@staticmethod

def _text(value):

"""Converts text values into utf-8 or ascii strings.

"""

if isinstance(value, bytes):

value = value.decode(encoding='utf-8')

elif not isinstance(value, str):

value = str(value)

return value</div>

<div class="viewcode-block" id="UnitData"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.UnitData">[docs]</a>class UnitData(object):

def __init__(self, data=None):

"""

Create mapping between unique categorical values and integer ids.

Parameters

----------

data : iterable

sequence of string values

"""

self._mapping = OrderedDict()

self._counter = itertools.count()

if data is not None:

self.update(data)

@staticmethod

def _str_is_convertible(val):

"""

Helper method to see if a string can be cast to float or

parsed as date.

"""

try:

float(val)

except ValueError:

try:

dateutil.parser.parse(val)

except (ValueError, TypeError):

# TypeError if dateutil >= 2.8.1 else ValueError

return False

return True

<div class="viewcode-block" id="UnitData.update"><a class="viewcode-back" href="../../api/category_api.html#matplotlib.category.UnitData.update">[docs]</a> def update(self, data):

"""Maps new values to integer identifiers.

Parameters

----------

data : iterable

sequence of string values

Raises

------

TypeError

If the value in data is not a string, unicode, bytes type

"""

data = np.atleast_1d(np.array(data, dtype=object))

# check if convertible to number:

convertible = True

for val in OrderedDict.fromkeys(data):

# OrderedDict just iterates over unique values in data.

if not isinstance(val, (str, bytes)):

raise TypeError("{val!r} is not a string".format(val=val))

if convertible:

# this will only be called so long as convertible is True.

convertible = self._str_is_convertible(val)

if val not in self._mapping:

self._mapping[val] = next(self._counter)

if convertible:

_log.info('Using categorical units to plot a list of strings '

'that are all parsable as floats or dates. If these '

'strings should be plotted as numbers, cast to the '

'appropriate data type before plotting.')</div></div>

# Register the converter with Matplotlib's unit framework

units.registry[str] = StrCategoryConverter()

units.registry[np.str_] = StrCategoryConverter()

units.registry[bytes] = StrCategoryConverter()

units.registry[np.bytes_] = StrCategoryConverter()

</pre></div>

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Last updated on Feb 09, 2020.

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