a Sic\`@s>dZddlmZddlZddlZddlmZddlZddlm Z m Z m Z m Z ddl mZddlmZe jGdd d Zejd Zd d ZGd ddeZeeZeee jddddd)ddddZd*ddZe jdddddeZe jddddddZdd Z Gd!d"d"Z!ej"j#jd#d$d%d&d'd(Z$dS)+a Builtin colormaps, colormap handling utilities, and the `ScalarMappable` mixin. .. seealso:: :doc:`/gallery/color/colormap_reference` for a list of builtin colormaps. :doc:`/tutorials/colors/colormap-manipulation` for examples of how to make colormaps. :doc:`/tutorials/colors/colormaps` an in-depth discussion of choosing colormaps. :doc:`/tutorials/colors/colormapnorms` for more details about data normalization. )MappingN)ma)_apicolorscbookscale)datad)cmapsc@s(eZdZejddddeddZdS) __getattr__3.5zrcParams['image.lut'])obj_type alternativecCstSN)_LUTSIZEselfrI/var/www/html/django/DPS/env/lib/python3.9/site-packages/matplotlib/cm.py"z__getattr__.N)__name__ __module__ __qualname__r deprecatedpropertyZLUTSIZErrrrr s  r z image.lutcCsit}tD]J\}}d|vr.t||tn&d|vrFt|d|ntj||t||<qt| D]}| }|||j <qh|S)zw Generate a dict mapping standard colormap names to standard colormaps, as well as the reversed colormaps. redlisted) cmaps_listedritemsrLinearSegmentedColormaprListedColormap from_listlistvaluesreversedname)Zcmap_dr&speccmapZrmaprrr_gen_cmap_registry(s r)c@sXeZdZdZddZddZddZdd Zd d Zd d Z dddddZ ddZ dS)ColormapRegistryaJ Container for colormaps that are known to Matplotlib by name. .. admonition:: Experimental While we expect the API to be final, we formally mark it as experimental for 3.5 because we want to keep the option to still adapt the API for 3.6 should the need arise. 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) cCs||_t||_d|_dS)NF)_cmapstuple_builtin_cmaps_allow_override_builtin)rr rrr__init__Us zColormapRegistry.__init__cCs8z|j|WSty2t|ddYn0dS)Nz is not a known colormap name)r+copyKeyError)ritemrrr __getitem__[s zColormapRegistry.__getitem__cCs t|jSr)iterr+rrrr__iter__aszColormapRegistry.__iter__cCs t|jSr)lenr+rrrr__len__dszColormapRegistry.__len__cCsdddd|DS)Nz'ColormapRegistry; available colormaps: , css|]}d|dVqdS)'Nr).0r&rrr irz+ColormapRegistry.__str__..)joinrrrr__str__gszColormapRegistry.__str__cCst|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#rrrr__call__kszColormapRegistry.__call__NFr&forcecCs|tjtj|d|p|j}||vrj|s8td|dn ||jvrX|jsXtd|dtd|d| |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) rcheck_isinstancerColormapr& ValueErrorr-r. warn_externalr0r+)rr(r&r@rrrregisterus    zColormapRegistry.registercCs,||jvrtd|d|j|ddS)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-rDr+pop)rr&rrr unregisters zColormapRegistry.unregister) rrr__doc__r/r3r5r7r=r>rFrHrrrrr*<s /r*z3.6Tz'``matplotlib.colormaps.register(name)``)pendingrF)override_builtinc Csttjtdf|d|durTz |j}Wn.tyR}ztd|WYd}~n d}~00|t_tj|||ddt_dS)a Add a colormap to the set recognized by :func:`get_cmap`. Register a new colormap to be accessed by name :: LinearSegmentedColormap('swirly', data, lut) register_cmap(cmap=swirly_cmap) Parameters ---------- name : str, optional The name that can be used in :func:`get_cmap` or :rc:`image.cmap` If absent, the name will be the :attr:`~matplotlib.colors.Colormap.name` attribute of the *cmap*. cmap : matplotlib.colors.Colormap Despite being the second argument and having a default value, this is a required argument. override_builtin : bool Allow built-in colormaps to be overridden by a user-supplied colormap. Please do not use this unless you are sure you need it. Nr&z+Arguments must include a name or a Colormapr?F) rrBstrr&AttributeErrorrD _colormapsr.rF)r&r(rKerrrrr register_cmaps! rQcCsV|durtjd}t|tjr"|Stjtt|d|durDt|St| |SdS)ag 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 N image.cmaprL) mplrcParams isinstancerrCr check_in_listsortedrO resampled)r&lutrrr _get_cmaps  rZget_cmapz``matplotlib.colormaps[name]``)r&rJrz)``matplotlib.colormaps.unregister(name)``cCst|d}t||S)aY Remove a colormap recognized by :func:`get_cmap`. You may not 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_cmap` 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 un-registered Returns ------- ColorMap or None If the colormap was registered, return it if not return `None` Raises ------ ValueError If you try to de-register a default built-in colormap. N)rOgetrH)r&r(rrrunregister_cmap s%  r]cCsNz ttj|ddtj}Wn$tyDt|tj}Yn0t|S)a Automatically generate a norm class from *scale_cls*. This differs from `.colors.make_norm_from_scale` in the following points: - This function is not a class decorator, but directly returns a norm class (as if decorating `.Normalize`). - The scale is automatically constructed with ``nonpositive="mask"``, if it supports such a parameter, to work around the difference in defaults between standard scales (which use "clip") and norms (which use "mask"). Note that ``make_norm_from_scale`` caches the generated norm classes (not the instances) and reuses them for later calls. For example, ``type(_auto_norm_from_scale("log")) == LogNorm``. mask) nonpositive)rmake_norm_from_scale functoolspartial Normalize TypeErrortype) scale_clsnormrrr_auto_norm_from_scaleJs    rhc@seZdZdZd)ddZejdddedd Zd d Z d*ddZ ddZ ddZ ddZ ddZd+ddZddZddZeddZejd dZd!d"Zd#d$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. NcCs@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. Nchanged)signals) _A_normset_normr(set_cmapZcolorbarrCallbackRegistry callbacks)rrgr(rrrr/ns  zScalarMappable.__init__r rq)rcCs|jSr)rqrrrrrrzScalarMappable.cCs<|dus|dur0|||t|tjr0td|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. NzPassing a Normalize instance simultaneously with vmin/vmax is not supported. Please pass vmin/vmax directly to the norm when creating it.)set_climrUrrcrDautoscale_None)rrgvminvmaxrrr _scale_norms   zScalarMappable._scale_normFTc Csz>|jdkr>|jddkr|dur*d}|jtjkrDt|d}|jdd\}}tj||df|jd}||ddddddf<||dddddf<n|jddkr|}ntd|jjd kr|r|dks| d krtd |r8|d tj}n4|jtjkr*|s8| tj d}ntd |j|WSWnt yTYn0t |}|rp||}|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 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 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 uint8, or it can be floating point with values in the 0-1 range; otherwise a ValueError will be raised. If it is a masked array, the mask will be ignored. 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 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)shapedtypezThird dimension must be 3 or 4frz:Floating point image RGB values must be in the 0..1 range.z9Image RGB array must be uint8 or floating point; found %s)alphabytes)ndimr|r}npuint8emptyrDkindmaxminastypefloat32rNrasarrayrgr() rxrrrgmnxxrgbarrrto_rgbasB     zScalarMappable.to_rgbacCsL|durd|_dStj|dd}t|jtdsBtd|jd||_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)r0 same_kindzImage data of dtype z cannot be converted to float)rlrsafe_masked_invalidrcan_castr}floatrd)rArrr set_arrays zScalarMappable.set_arraycCs|jS)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. )rlrrrr get_arrayszScalarMappable.get_arraycCs|jS)z Return the `.Colormap` instance.rArrrrr[szScalarMappable.get_cmapcCs|jj|jjfS)zV Return the values (min, max) that are mapped to the colormap limits. )rgrtrurrrrget_climszScalarMappable.get_climc Cs\|dur,z |\}}Wnttfy*Yn0|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)rdrDr_sanitize_extremargrtru)rrtrurrrrrs zScalarMappable.set_climcCsdS)zU Returns ------- float Always returns 1. g?rrrrr get_alpha(szScalarMappable.get_alphacCs$|jdu}t||_|s |dS)z Set the colormap for luminance data. Parameters ---------- cmap : `.Colormap` or str or None N)r( _ensure_cmaprj)rr(in_initrrrro2s  zScalarMappable.set_cmapcCs|jSr)rmrrrrrg@szScalarMappable.normc Cstjtjtdf|d|dur(t}nNt|trvztj|}Wn*tyjt d d tjdYn0t |}||j urdS|j du}|s|j j|j||_|j jd|j|_|s|dS)Nrgz=Invalid norm str name; the following values are supported: {}r8rj)rrBrrcrMrUr_scale_mappingr1rDformatr<rhrgrq disconnectZ_id_normrmconnectrj)rrgrfrrrrrgDs4        cCs ||_dS)a_ Set the normalization instance. Parameters ---------- norm : `.Normalize` or str or None Notes ----- If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. Nr)rrgrrrrnaszScalarMappable.set_normcCs$|jdurtd|j|jdS)zb Autoscale the scalar limits on the norm instance using the current array N%You must first set_array for mappable)rlrdrg autoscalerrrrrqs zScalarMappable.autoscalecCs$|jdurtd|j|jdS)z Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None Nr)rlrdrgrsrrrrrs|s zScalarMappable.autoscale_NonecCs|jd|d|_dS)z Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. rjTN)rqprocessZstalerrrrrjszScalarMappable.changed)NN)NFT)NN)rrrrIr/rrrZ callbacksSMrvrrrr[rrrrrorgsetterrnrrsrjrrrrrifs,    F       rizcmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap` The Colormap instance or registered colormap name used to map scalar data to colors.anorm : 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 :doc:`/tutorials/colors/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.avmin, 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_doccCsBt|tjr|S|dur|ntjd}tjtt|dtj |S)a2 Ensure that we have a `.Colormap` object. 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 NrRrA) rUrrCrSrTrrVrWrO colormaps)r(Z cmap_namerrrrs  r)NN)NN)%rIcollections.abcrranumpyrr matplotlibrSrrrrZmatplotlib._cmrZmatplotlib._cm_listedr rcaching_module_getattrr rTrr)r*rOglobalsupdaterrQrZr[r]rhri _docstringinterpdrrrrrsZ       +  %-