| Server IP : 202.61.199.114 / Your IP : 216.73.217.139 Web Server : nginx/1.22.1 System : Linux de.arni-solutions.de 6.1.0-49-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.174-1 (2026-05-26) x86_64 User : web20 ( 1018) PHP Version : 8.4.23 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : OFF | Sudo : ON | Pkexec : ON Directory : /usr/local/lib/python3.9/dist-packages/matplotlib/__pycache__/ |
Upload File : |
a
���h�\ � @ s� d Z ddlmZ ddlZddlZddlmZ ddlZddlm Z m
Z
m Z m Z ddl
mZ ddlmZ ejd Zd d
� ZG d d � d e�Zee� �Ze� �e� e jd
ddd�d dd��Zdd� ZG dd� d�Z ej j jdddd� dd � Z dS ) a|
Builtin colormaps, colormap handling utilities, and the `ScalarMappable` mixin.
.. seealso::
:doc:`/gallery/color/colormap_reference` for a list of builtin colormaps.
:ref:`colormap-manipulation` for examples of how to make
colormaps.
:ref:`colormaps` an in-depth discussion of choosing
colormaps.
:ref:`colormapnorms` for more details about data normalization.
� )�MappingN)�ma)�_api�colors�cbook�scale)�datad)�cmapsz image.lutc C s� i t �} t�� D ]J\}}d|v r.t�||t�n&d|v rFt�|d |�ntj�||t�| |< q| d | d< | d | d< | d | d< | d | d
< t| � � �D ]}|�
� }|| |j < q�| S ) zw
Generate a dict mapping standard colormap names to standard colormaps, as
well as the reversed colormaps.
ZredZlistedZgrayZgreyZ gist_grayZ gist_greyZ gist_yargZ gist_yergZGreysZGrays) � cmaps_listedr �itemsr ZLinearSegmentedColormap�_LUTSIZEZListedColormap� from_list�list�values�reversed�name)Zcmap_dr �spec�cmapZrmap� r �7/usr/local/lib/python3.9/dist-packages/matplotlib/cm.py�_gen_cmap_registry s ��� r c @ s` e Zd ZdZdd� Zdd� Zdd� Zdd � Zd
d � Zd d
� Z ddd�dd�Z
dd� Z dd� Z dS )�ColormapRegistrya�
Container for colormaps that are known to Matplotlib by name.
The universal registry instance is `matplotlib.colormaps`. There should be
no need for users to instantiate `.ColormapRegistry` themselves.
Read access uses a dict-like interface mapping names to `.Colormap`\s::
import matplotlib as mpl
cmap = mpl.colormaps['viridis']
Returned `.Colormap`\s are copies, so that their modification does not
change the global definition of the colormap.
Additional colormaps can be added via `.ColormapRegistry.register`::
mpl.colormaps.register(my_colormap)
To get a list of all registered colormaps, you can do::
from matplotlib import colormaps
list(colormaps)
c C s || _ t|�| _d S �N)�_cmaps�tuple�_builtin_cmaps)�selfr r r r �__init__S s zColormapRegistry.__init__c C s8 z| j | �� W S ty2 t|�d��d �Y n0 d S )Nz is not a known colormap name)r �copy�KeyError)r �itemr r r � __getitem__W s z ColormapRegistry.__getitem__c C s
t | j�S r )�iterr �r r r r �__iter__] s zColormapRegistry.__iter__c C s
t | j�S r )�lenr r# r r r �__len__` s zColormapRegistry.__len__c C s dd� dd� | D �� S )Nz'ColormapRegistry; available colormaps:
�, c s s | ]}d |� d �V qdS )�'Nr )�.0r r r r � <genexpr>e � z+ColormapRegistry.__str__.<locals>.<genexpr>)�joinr# r r r �__str__c s �zColormapRegistry.__str__c C s t | �S )z�
Return a list of the registered colormap names.
This exists only for backward-compatibility in `.pyplot` which had a
``plt.colormaps()`` method. The recommended way to get this list is
now ``list(colormaps)``.
)r r# r r r �__call__g s zColormapRegistry.__call__NF)r �forcec C s� t jtj|d� |p|j}|| v rd|s8td|� d���n|| jv rRtd|�d���t �d|�d�� |�� | j |< | j | j|kr�|| j | _dS ) a�
Register a new colormap.
The colormap name can then be used as a string argument to any ``cmap``
parameter in Matplotlib. It is also available in ``pyplot.get_cmap``.
The colormap registry stores a copy of the given colormap, so that
future changes to the original colormap instance do not affect the
registered colormap. Think of this as the registry taking a snapshot
of the colormap at registration.
Parameters
----------
cmap : matplotlib.colors.Colormap
The colormap to register.
name : str, optional
The name for the colormap. If not given, ``cmap.name`` is used.
force : bool, default: False
If False, a ValueError is raised if trying to overwrite an already
registered name. True supports overwriting registered colormaps
other than the builtin colormaps.
�r zA colormap named "z" is already registered.z Re-registering the builtin cmap z is not allowed.zOverwriting the cmap z" that was already in the registry.N)
r �check_isinstancer �Colormapr �
ValueErrorr Z
warn_externalr r )r r r r/ r r r �registerq s
�
�
zColormapRegistry.registerc C s, || j v rtd|�d���| j�|d� dS )a
Remove a colormap from the registry.
You cannot remove built-in colormaps.
If the named colormap is not registered, returns with no error, raises
if you try to de-register a default colormap.
.. warning::
Colormap names are currently a shared namespace that may be used
by multiple packages. Use `unregister` only if you know you
have registered that name before. In particular, do not
unregister just in case to clean the name before registering a
new colormap.
Parameters
----------
name : str
The name of the colormap to be removed.
Raises
------
ValueError
If you try to remove a default built-in colormap.
zcannot unregister z which is a builtin colormap.N)r r3 r �pop)r r r r r �
unregister� s
zColormapRegistry.unregisterc C sj |du r| t jd S t|tj�r&|S t|t�rJtjtt �|d� | | S t
dd|�dt |�� � ��dS )a�
Return a color map specified through *cmap*.
Parameters
----------
cmap : str or `~matplotlib.colors.Colormap` or None
- if a `.Colormap`, return it
- if a string, look it up in ``mpl.colormaps``
- if None, return the Colormap defined in :rc:`image.cmap`
Returns
-------
Colormap
N�
image.cmapr0 z<get_cmap expects None or an instance of a str or Colormap . z you passed z of type ) �mpl�rcParams�
isinstancer r2 �strr �
check_in_list�sorted�
_colormaps� TypeError�type)r r r r r �get_cmap� s
��zColormapRegistry.get_cmap)
�__name__�
__module__� __qualname__�__doc__r r! r$ r& r- r. r4 r6 rA r r r r r ; s
2 r z3.7z3.11z^``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap()`` or ``pyplot.get_cmap()``)Zremoval� alternativec C sV | du rt jd } t| tj�r"| S tjtt�| d� |du rDt| S t| � |�S dS )ah
Get a colormap instance, defaulting to rc values if *name* is None.
Parameters
----------
name : `~matplotlib.colors.Colormap` or str or None, default: None
If a `.Colormap` instance, it will be returned. Otherwise, the name of
a colormap known to Matplotlib, which will be resampled by *lut*. The
default, None, means :rc:`image.cmap`.
lut : int or None, default: None
If *name* is not already a Colormap instance and *lut* is not None, the
colormap will be resampled to have *lut* entries in the lookup table.
Returns
-------
Colormap
Nr7 )r )
r8 r9 r: r r2 r r< r= r> Z resampled)r Zlutr r r rA � s
rA c C sN z t �tj| dd��t j�� }W n$ tyD t �| �t j�� }Y n0 t|�S )a�
Automatically generate a norm class from *scale_cls*.
This differs from `.colors.make_norm_from_scale` in the following points:
- This function is not a class decorator, but directly returns a norm class
(as if decorating `.Normalize`).
- The scale is automatically constructed with ``nonpositive="mask"``, if it
supports such a parameter, to work around the difference in defaults
between standard scales (which use "clip") and norms (which use "mask").
Note that ``make_norm_from_scale`` caches the generated norm classes
(not the instances) and reuses them for later calls. For example,
``type(_auto_norm_from_scale("log")) == LogNorm``.
�mask)� nonpositive)r Zmake_norm_from_scale� functools�partial� Normalizer? r@ )� scale_cls�normr r r �_auto_norm_from_scale s ��
� rN c @ s� e Zd ZdZd$dd�Zdd� Zd%d d
�Zd d � Zd
d� Zdd� Z dd� Z
d&dd�Z dd� Z dd� Z
edd� �Zejdd� �Zd d � Zd d � Zd d!� Zd"d#� ZdS )'�ScalarMappablez�
A mixin class to map scalar data to RGBA.
The ScalarMappable applies data normalization before returning RGBA colors
from the given colormap.
Nc C s@ d| _ d| _| �|� d| _| �|� d| _tjdgd�| _dS )ar
Parameters
----------
norm : `.Normalize` (or subclass thereof) or str or None
The normalizing object which scales data, typically into the
interval ``[0, 1]``.
If a `str`, a `.Normalize` subclass is dynamically generated based
on the scale with the corresponding name.
If *None*, *norm* defaults to a *colors.Normalize* object which
initializes its scaling based on the first data processed.
cmap : str or `~matplotlib.colors.Colormap`
The colormap used to map normalized data values to RGBA colors.
N�changed)Zsignals) �_A�_norm�set_normr �set_cmapZcolorbarr ZCallbackRegistry� callbacks)r rM r r r r r 5 s
zScalarMappable.__init__c C s< |dus|dur0| � ||� t|tj�r0td��| �� dS )a,
Helper for initial scaling.
Used by public functions that create a ScalarMappable and support
parameters *vmin*, *vmax* and *norm*. This makes sure that a *norm*
will take precedence over *vmin*, *vmax*.
Note that this method does not set the norm.
Nz�Passing a Normalize instance simultaneously with vmin/vmax is not supported. Please pass vmin/vmax directly to the norm when creating it.)�set_climr: r rK r3 �autoscale_None)r rM �vmin�vmaxr r r � _scale_normL s
�zScalarMappable._scale_normFTc
C s� �z�|j dk�r�|jd dkr�|du r*d}|jtjkrDt�|d �}|jdd� \}}tj||df|jd�}||dd�dd�dd�f< ||dd�dd�df< n |jd dkr�|}ntd��|jjd k�rPt�t� |� }��r|jd dkr�|�
� }d
|tj|dd �dd�f< |�r8|� � dk�s0|� � d
k �r8td ��|�r�|d �
tj�}n4|jtjk�rv|�s�|�
tj�d }ntd
|j ��tj�|��r�d
|tjtj�|�dd �df< |W S W n t�y� Y n0 t�|�}|�r�| �|�}| j|||d�} | S )a�
Return a normalized RGBA array corresponding to *x*.
In the normal case, *x* is a 1D or 2D sequence of scalars, and
the corresponding `~numpy.ndarray` of RGBA values will be returned,
based on the norm and colormap set for this ScalarMappable.
There is one special case, for handling images that are already
RGB or RGBA, such as might have been read from an image file.
If *x* is an `~numpy.ndarray` with 3 dimensions,
and the last dimension is either 3 or 4, then it will be
treated as an RGB or RGBA array, and no mapping will be done.
The array can be `~numpy.uint8`, or it can be floats with
values in the 0-1 range; otherwise a ValueError will be raised.
Any NaNs or masked elements will be set to 0 alpha.
If the last dimension is 3, the *alpha* kwarg (defaulting to 1)
will be used to fill in the transparency. If the last dimension
is 4, the *alpha* kwarg is ignored; it does not
replace the preexisting alpha. A ValueError will be raised
if the third dimension is other than 3 or 4.
In either case, if *bytes* is *False* (default), the RGBA
array will be floats in the 0-1 range; if it is *True*,
the returned RGBA array will be `~numpy.uint8` in the 0 to 255 range.
If norm is False, no normalization of the input data is
performed, and it is assumed to be in the range (0-1).
� � N� � � )�shape�dtypez Third dimension must be 3 or 4�fr )Zaxisz:Floating point image RGB values must be in the 0..1 range.z9Image RGB array must be uint8 or floating point; found %s)�alpha�bytes)�ndimr` ra �npZuint8�emptyr3 �kind�any�isnanr �max�minZastype�float32r Z is_maskedZ getmaskarray�AttributeErrorZasarrayrM r )
r �xrc rd rM �m�n�xxZnansZrgbar r r �to_rgbab sN "�
zScalarMappable.to_rgbac C sb |du rd| _ dS tj|dd�}t�|jtd�sBtd|j� d���|| _ | j� � s^| j�
|� dS )aB
Set the value array from array-like *A*.
Parameters
----------
A : array-like or None
The values that are mapped to colors.
The base class `.ScalarMappable` does not make any assumptions on
the dimensionality and shape of the value array *A*.
NT)r Z same_kindzImage data of dtype z cannot be converted to float) rQ r Zsafe_masked_invalidrf Zcan_castra �floatr? rM ZscaledrW )r �Ar r r � set_array� s
zScalarMappable.set_arrayc C s | j S )z�
Return the array of values, that are mapped to colors.
The base class `.ScalarMappable` does not make any assumptions on
the dimensionality and shape of the array.
)rQ r# r r r � get_array� s zScalarMappable.get_arrayc C s | j S )z Return the `.Colormap` instance.r0 r# r r r rA � s zScalarMappable.get_cmapc C s | j j| j jfS )zV
Return the values (min, max) that are mapped to the colormap limits.
)rM rX rY r# r r r �get_clim� s zScalarMappable.get_climc C s\ |du r,z |\}}W n t tfy* Y n0 |durBt�|�| j_|durXt�|�| j_dS )a>
Set the norm limits for image scaling.
Parameters
----------
vmin, vmax : float
The limits.
The limits may also be passed as a tuple (*vmin*, *vmax*) as a
single positional argument.
.. ACCEPTS: (vmin: float, vmax: float)
N)r? r3 r Z_sanitize_extremarM rX rY )r rX rY r r r rV � s zScalarMappable.set_climc C s dS )zU
Returns
-------
float
Always returns 1.
g �?r r# r r r � get_alpha� s zScalarMappable.get_alphac C s$ | j du }t|�| _ |s | �� dS )z�
Set the colormap for luminance data.
Parameters
----------
cmap : `.Colormap` or str or None
N)r � _ensure_cmaprP )r r �in_initr r r rT s
zScalarMappable.set_cmapc C s | j S r )rR r# r r r rM s zScalarMappable.normc C s� t jtjtd f|d� |d u r(t�� }nNt|t�rvztj| }W n* tyj t dd�
tj�� ��d �Y n0 t |�� }|| j u r�d S | j d u }|s�| j j
�| j� || _| j j
�d| j�| _|s�| �� d S )N�rM z;Invalid norm str name; the following values are supported: r' rP )r r1 r rK r; r: r Z_scale_mappingr r3 r, rN rM rU Z
disconnectZ_id_normrR �connectrP )r rM rL r{ r r r rM s4
���
�c C s
|| _ dS )a_
Set the normalization instance.
Parameters
----------
norm : `.Normalize` or str or None
Notes
-----
If there are any colorbars using the mappable for this norm, setting
the norm of the mappable will reset the norm, locator, and formatters
on the colorbar to default.
Nr| )r rM r r r rS 1 s zScalarMappable.set_normc C s$ | j du rtd��| j�| j � dS )zb
Autoscale the scalar limits on the norm instance using the
current array
N�%You must first set_array for mappable)rQ r? rM � autoscaler# r r r r A s
zScalarMappable.autoscalec C s$ | j du rtd��| j�| j � dS )z�
Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
Nr~ )rQ r? rM rW r# r r r rW L s
z ScalarMappable.autoscale_Nonec C s | j �d| � d| _dS )z�
Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal.
rP TN)rU �process�staler# r r r rP W s zScalarMappable.changed)NN)NFT)NN)rB rC rD rE r rZ rs rv rw rA rx rV ry rT �propertyrM �setterrS r rW rP r r r r rO - s&
P
rO z�cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
The Colormap instance or registered colormap name used to map scalar data
to colors.a� norm : str or `~matplotlib.colors.Normalize`, optional
The normalization method used to scale scalar data to the [0, 1] range
before mapping to colors using *cmap*. By default, a linear scaling is
used, mapping the lowest value to 0 and the highest to 1.
If given, this can be one of the following:
- An instance of `.Normalize` or one of its subclasses
(see :ref:`colormapnorms`).
- A scale name, i.e. one of "linear", "log", "symlog", "logit", etc. For a
list of available scales, call `matplotlib.scale.get_scale_names()`.
In that case, a suitable `.Normalize` subclass is dynamically generated
and instantiated.a vmin, vmax : float, optional
When using scalar data and no explicit *norm*, *vmin* and *vmax* define
the data range that the colormap covers. By default, the colormap covers
the complete value range of the supplied data. It is an error to use
*vmin*/*vmax* when a *norm* instance is given (but using a `str` *norm*
name together with *vmin*/*vmax* is acceptable).)Zcmap_docZnorm_docZ
vmin_vmax_docc C sJ t | tj�r| S | dur | ntjd }|tvr@tjtt�|d� tj | S )ao
Ensure that we have a `.Colormap` object.
For internal use to preserve type stability of errors.
Parameters
----------
cmap : None, str, Colormap
- if a `Colormap`, return it
- if a string, look it up in mpl.colormaps
- if None, look up the default color map in mpl.colormaps
Returns
-------
Colormap
Nr7 r0 )
r: r r2 r8 r9 r> r r< r= Z colormaps)r Z cmap_namer r r rz ~ s rz )NN) rE �collections.abcr rI �numpyrf r Z
matplotlibr8 r r r r Zmatplotlib._cmr Zmatplotlib._cm_listedr r
r9 r r r r> �globals�update�
deprecatedrA rN rO Z
_docstringZinterpdrz r r r r �<module> s<
-
� 6�