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This works both with IPython and with vanilla python shells. c@s eZdZdS)z-install_repl_displayhook.._NotIPythonN)__name__ __module__ __qualname__r@r@r@rA _NotIPythonysr`IPythonr) get_ipythonNcSstjrtdS)N) matplotlibis_interactivedraw_allr@r@r@rA post_executesz.install_repl_displayhook..post_executerfF) backend2guiT) Exceptionsysmodulesrarb_IP_REGISTEREDeventsregisterAttributeErrorZregister_post_execute_INSTALL_FIG_OBSERVERZIPython.core.pylabtoolsrggetrZ enable_gui ImportError)r`rbiprfrgZipython_gui_namer@r@rAinstall_repl_displayhookos.      rscCsftrZddlm}|}y|jjdtWn,tk rT}ztd|WYdd}~XnXdatrbdadS)a Uninstall the matplotlib display hook. .. warning:: Need IPython >= 2 for this to work. For IPython < 2 will raise a ``NotImplementedError`` .. warning:: If you are using vanilla python and have installed another display hook this will reset ``sys.displayhook`` to what ever function was there when matplotlib installed it's displayhook, possibly discarding your changes. r)rbrfz*Can not unregister events in IPython < 2.0NF)rkrarbrl unregisterrnNotImplementedErrorro)rbrrerrr@r@rAuninstall_repl_displayhooks rwcOs tj||S)N)rc set_loglevel)argsr\r@r@rArxsrxTcCs|dkrt}|j||dS)N) include_self)gcffindobj)omatchrzr@r@rAr|sr|cCst|jddS)NZrequired_interactive_framework)rPZ FigureCanvas) backend_modr@r@rA#_get_required_interactive_frameworksrc svddl}td|tjkrtj}dddddd d d }|j|d}|dk rR|g}ng}|d ddddg7}xP|D]4}y t|Wntk rwnYqnX|t d <dSqnWtd d t d <dStj |Gfd dd|j j }t |}|dk rtj}|r|r||krtdj|||tjd||j|td <td <|ax&dD]} tjt|| t| _qHW||j_dS)a Close all open figures and set the Matplotlib backend. The argument is case-insensitive. Switching to an interactive backend is possible only if no event loop for another interactive backend has started. Switching to and from non-interactive backends is always possible. Parameters ---------- newbackend : str The name of the backend to use. rNallZqt5aggZqt4aggZgtk3aggZwxaggZtkaggmacosxZagg)Zqt5Zqt4Zgtk3ZwxZtkrZheadlessbackendcs"eZdZejeejdS)z#switch_backend..backend_modN)r]r^r_localsupdatevars importlib import_moduler@) backend_namer@rArsrzdCannot load backend {!r} which requires the {!r} interactive framework, as {!r} is currently runningzLoaded backend %s version %s.new_figure_managerdraw_if_interactiveshow)rrr)Zmatplotlib.backendscloser_auto_backend_sentinelr"_get_running_interactive_frameworkrpswitch_backendrqrZ_backend_module_nameZ backend_basesZ_Backendrformat_logdebugZbackend_versionrr _backend_modinspect signaturerPglobals __signature__backendsr) Z newbackendrcZcurrent_frameworkmappingZ best_guess candidates candidaterZrequired_framework func_namer@)rrArsX           rcCs&ttr"tjtjk r"tjddS)NzFStarting a Matplotlib GUI outside of the main thread will likely fail.)rr threadingcurrent_thread main_threadr_warn_externalr@r@r@rA_warn_if_gui_out_of_main_thread/srcOsttj||S)z%Create a new figure manager instance.)rrr)ryr\r@r@rAr8srcOs tj||S)N)rr)ryr\r@r@rAr?srcOsttj||S)a6 Display all open figures. In non-interactive mode, *block* defaults to True. All figures will display and show will not return until all windows are closed. If there are no figures, return immediately. In interactive mode *block* defaults to False. This will ensure that all of the figures are shown and this function immediately returns. Parameters ---------- block : bool, optional If `True` block and run the GUI main loop until all windows are closed. If `False` ensure that all windows are displayed and return immediately. In this case, you are responsible for ensuring that the event loop is running to have responsive figures. See Also -------- ion : enable interactive mode ioff : disable interactive mode )rrr)ryr\r@r@rArDsrcCstjS)a Return if pyplot is in "interactive mode" or not. If in interactive mode then: - newly created figures will be shown immediately - figures will automatically redraw on change - `.pyplot.show` will not block by default If not in interactive mode then: - newly created figures and changes to figures will not be reflected until explicitly asked to be - `.pyplot.show` will block by default See Also -------- ion : enable interactive mode ioff : disable interactive mode show : show windows (and maybe block) pause : show windows, run GUI event loop, and block for a time )rcrdr@r@r@rA isinteractivedsrcCstjdtdS)z Turn the interactive mode off. See Also -------- ion : enable interactive mode isinteractive : query current state show : show windows (and maybe block) pause : show windows, run GUI event loop, and block for a time FN)rcrrwr@r@r@rAioffs rcCstjdtdS)z Turn the interactive mode on. See Also -------- ioff : disable interactive mode isinteractive : query current state show : show windows (and maybe block) pause : show windows, run GUI event loop, and block for a time TN)rcrrsr@r@r@rAions rcCsLtjj}|dk r>|j}|jjr(|jtdd|j|n t j |dS)a Run the GUI event loop for *interval* seconds. If there is an active figure, it will be updated and displayed before the pause, and the GUI event loop (if any) will run during the pause. This can be used for crude animation. For more complex animation use :mod:`matplotlib.animation`. If there is no active figure, sleep for *interval* seconds instead. See Also -------- matplotlib.animation : Complex animation show : show figures and optional block forever NF)block) rGcf get_activecanvasfigurestale draw_idlerZstart_event_looptimesleep)intervalmanagerrr@r@rApauses   rcKstj|f|dS)N)rcrc)groupr\r@r@rArsrcCs tj||S)N)rc rc_context)rfnamer@r@rArsrcCstjtjrtdS)N)rc rcdefaultsrdrer@r@r@rArsrcOstjj|f||S)N)rcartistgetp)objryr\r@r@rArsrcOstjj|f||S)N)rcrrp)rryr\r@r@rArpsrpcOstjj|f||S)N)rcrsetp)rryr\r@r@rArsrdcCs t|||S)a Turn on `xkcd `_ sketch-style drawing mode. This will only have effect on things drawn after this function is called. For best results, the "Humor Sans" font should be installed: it is not included with Matplotlib. Parameters ---------- scale : float, optional The amplitude of the wiggle perpendicular to the source line. length : float, optional The length of the wiggle along the line. randomness : float, optional The scale factor by which the length is shrunken or expanded. Notes ----- This function works by a number of rcParams, so it will probably override others you have set before. If you want the effects of this function to be temporary, it can be used as a context manager, for example:: with plt.xkcd(): # This figure will be in XKCD-style fig1 = plt.figure() # ... # This figure will be in regular style fig2 = plt.figure() )_xkcd)scalelength randomnessr@r@rAxkcds!rc@s$eZdZddZddZddZdS)rcCsptj|_tdrtdddlm}tjddddd gd |||f|jd d d gdddddddddddddS)Nz text.usetexz3xkcd mode is not compatible with text.usetex = Truer) patheffectsrz xkcd Scriptz Humor Sansz Comic Neuez Comic Sans MSg,@w) linewidthZ foregroundg?g@ZwhitegFZblack)z font.familyz font.sizez path.sketchz path.effectszaxes.linewidthzlines.linewidthzfigure.facecolorzgrid.linewidthz axes.gridzaxes.unicode_minuszaxes.edgecolorzxtick.major.sizezxtick.major.widthzytick.major.sizezytick.major.width)rrO_orig RuntimeErrorrcrrZ withStroke)selfrrrrr@r@rA__init__s,  z_xkcd.__init__cCs|S)Nr@)rr@r@rA __enter__"sz_xkcd.__enter__cGstjt|jdS)N)dictrrr)rryr@r@rA__exit__%sz_xkcd.__exit__N)r]r^r_rrrr@r@r@rArsrc Ks|dkrtd}|dkr td}|dkr0td}|dkr@td}t} | rVt| dnd} d} |dkrl| }nPt|tr|} t} | | kr| dkrtjd | }q| j| } | | }nt |}t j j |}|dkrptd }t | |kodknrtjd |ttjd krd }t|f||||||d|}|jj}| rR|j| t j j|ttrpt|_|r|jjj|jjS)u Create a new figure, or activate an existing figure. Parameters ---------- num : int or str, optional A unique identifier for the figure. If a figure with that identifier already exists, this figure is made active and returned. An integer refers to the ``Figure.number`` attribute, a string refers to the figure label. If there is no figure with the identifier or *num* is not given, a new figure is created, made active and returned. If *num* is an int, it will be used for the ``Figure.number`` attribute, otherwise, an auto-generated integer value is used (starting at 1 and incremented for each new figure). If *num* is a string, the figure label and the window title is set to this value. figsize : (float, float), default: :rc:`figure.figsize` Width, height in inches. dpi : float, default: :rc:`figure.dpi` The resolution of the figure in dots-per-inch. facecolor : color, default: :rc:`figure.facecolor` The background color. edgecolor : color, default: :rc:`figure.edgecolor` The border color. frameon : bool, default: True If False, suppress drawing the figure frame. FigureClass : subclass of `~matplotlib.figure.Figure` Optionally use a custom `.Figure` instance. clear : bool, default: False If True and the figure already exists, then it is cleared. tight_layout : bool or dict, default: :rc:`figure.autolayout` If ``False`` use *subplotpars*. If ``True`` adjust subplot parameters using `.tight_layout` with default padding. When providing a dict containing the keys ``pad``, ``w_pad``, ``h_pad``, and ``rect``, the default `.tight_layout` paddings will be overridden. constrained_layout : bool, default: :rc:`figure.constrained_layout.use` If ``True`` use constrained layout to adjust positioning of plot elements. Like ``tight_layout``, but designed to be more flexible. See :doc:`/tutorials/intermediate/constrainedlayout_guide` for examples. (Note: does not work with `add_subplot` or `~.pyplot.subplot2grid`.) **kwargs : optional See `~.matplotlib.figure.Figure` for other possible arguments. Returns ------- `~matplotlib.figure.Figure` The `.Figure` instance returned will also be passed to new_figure_manager in the backends, which allows to hook custom `.Figure` classes into the pyplot interface. Additional kwargs will be passed to the `.Figure` init function. Notes ----- If you are creating many figures, make sure you explicitly call `.pyplot.close` on the figures you are not using, because this will enable pyplot to properly clean up the memory. `~matplotlib.rcParams` defines the default values, which can be modified in the matplotlibrc file. Nzfigure.figsizez figure.dpizfigure.facecolorzfigure.edgecolorr)r=rz(close('all') closes all existing figureszfigure.max_open_warningzMore than %d figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).ZpsH)figsizedpi facecolor edgecolorframeon FigureClass)r get_fignumsmax isinstancestr get_figlabelsrrindexintrrZget_fig_managerlenRuntimeWarningrlowerrrrZ set_labelZ_set_new_active_managerrro_auto_draw_if_interactiveZstale_callbackclear)numrrrrrrrr\ZallnumsZnext_numZfigLabel allLabelsZinum figManagerZmax_open_warningfigr@r@rAr+sdW         rc CsF|rBtjrB|jj rB|jj rB|jj|jjWdQRXdS)z An internal helper function for making sure that auto-redrawing works as intended in the plain python repl. Parameters ---------- fig : Figure A figure object which is assumed to be associated with a canvas N)rcrdrZ is_savingZ_is_idle_drawingZ_idle_draw_cntxr)rvalr@r@rArs    rcCs$tjj}|dk r|jjStSdS)zw Get the current figure. If no current figure exists, a new one is created using `~.pyplot.figure()`. N)rrrrr)rr@r@rAr{s r{cCstjj|p|tkS)z3Return whether the figure with the given id exists.)rrZ has_fignumr)rr@r@rA fignum_existssrcCs ttjjS)z)Return a list of existing figure numbers.)sortedrrZfigsr@r@r@rArsrcCs(tjj}|jddddd|DS)z(Return a list of existing figure labels.cSs|jS)N)r)mr@r@rArBszget_figlabels..)keycSsg|]}|jjjqSr@)rrZ get_label)rFrr@r@rA sz!get_figlabels..)rrZget_all_fig_managerssort)Z figManagersr@r@rArs rcCs tjjS)ai Return the figure manager of the current figure. The figure manager is a container for the actual backend-depended window that displays the figure on screen. If if no current figure exists, a new one is created an its figure manager is returned. Returns ------- `.FigureManagerBase` or backend-dependent subclass thereof )r{rrr@r@r@rAget_current_fig_managersrcCstjj||S)N)r{r mpl_connect)srJr@r@rAconnectsrcCstjj|S)N)r{rmpl_disconnect)Zcidr@r@rA disconnectsrcCs|dkr,tjj}|dkrdStjj|n|dkr@tjjnt|trXtjj|npt|drrtjj|jnVt|trt }||krt |j |}tjj|n t|t rtjj |ntddS)al Close a figure window. Parameters ---------- fig : None or int or str or `.Figure` The figure to close. There are a number of ways to specify this: - *None*: the current figure - `.Figure`: the given `.Figure` instance - ``int``: a figure number - ``str``: a figure name - 'all': all figures NrrzFclose() argument must be a Figure, an int, a string, or None, not '%s')rrrdestroyZ destroy_allrrhasattrrrrrr Z destroy_fig TypeError)rrrrr@r@rArs&      rcCstjdS)zClear the current figure.N)r{clfr@r@r@rArDsrcCstjjdS)a Redraw the current figure. This is used to update a figure that has been altered, but not automatically re-drawn. If interactive mode is on (via `.ion()`), this should be only rarely needed, but there may be ways to modify the state of a figure without marking it as "stale". Please report these cases as bugs. This is equivalent to calling ``fig.canvas.draw_idle()``, where ``fig`` is the current figure. N)r{rrr@r@r@rAdrawIs rcOs t}|j||}|jj|S)N)r{savefigrr)ryr\rresr@r@rArXs  rcOstj||S)N)r{legend)ryr\r@r@rA figlegendcsrzlegend(z figlegend(cKs&|dkrtd|Stj|f|SdS)a+ Add an axes to the current figure and make it the current axes. Call signatures:: plt.axes() plt.axes(rect, projection=None, polar=False, **kwargs) plt.axes(ax) Parameters ---------- arg : None or 4-tuple The exact behavior of this function depends on the type: - *None*: A new full window axes is added using ``subplot(111, **kwargs)``. - 4-tuple of floats *rect* = ``[left, bottom, width, height]``. A new axes is added with dimensions *rect* in normalized (0, 1) units using `~.Figure.add_axes` on the current figure. projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional The projection type of the `~.axes.Axes`. *str* is the name of a custom projection, see `~matplotlib.projections`. The default None results in a 'rectilinear' projection. polar : bool, default: False If True, equivalent to projection='polar'. sharex, sharey : `~.axes.Axes`, optional Share the x or y `~matplotlib.axis` with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes. label : str A label for the returned axes. Returns ------- `~.axes.Axes`, or a subclass of `~.axes.Axes` The returned axes class depends on the projection used. It is `~.axes.Axes` if rectilinear projection is used and `.projections.polar.PolarAxes` if polar projection is used. Other Parameters ---------------- **kwargs This method also takes the keyword arguments for the returned axes class. The keyword arguments for the rectilinear axes class `~.axes.Axes` can be found in the following table but there might also be other keyword arguments if another projection is used, see the actual axes class. %(Axes)s Notes ----- If the figure already has a axes with key (*args*, *kwargs*) then it will simply make that axes current and return it. This behavior is deprecated. Meanwhile, if you do not want this behavior (i.e., you want to force the creation of a new axes), you must use a unique set of args and kwargs. The axes *label* attribute has been exposed for this purpose: if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels. See Also -------- .Figure.add_axes .pyplot.subplot .Figure.add_subplot .Figure.subplots .pyplot.subplots Examples -------- :: # Creating a new full window axes plt.axes() # Creating a new axes with specified dimensions and some kwargs plt.axes((left, bottom, width, height), facecolor='w') No)r)subplotr{add_axes)argr\r@r@rAaxesksX rcCs|dkrt}|jdS)zS Remove an `~.axes.Axes` (defaulting to the current axes) from its figure. N)gcaremove)axr@r@rAdelaxessrcCs8t|jjdstdtjj|jjj|jj|dS)zT Set the current Axes to *ax* and the current Figure to the parent of *ax*. rz+Axes parent figure is not managed by pyplotN) rrr ValueErrorrr set_activersca)rr@r@rArsrcOst|dkrd }t|dkr4t|dtr4tjdd|ksDd|krLtdt}|j||}|j}g}x.|j D]$}||kr~qp|j |jrp|j |qpWx|D] }t |qW|S) ar Add a subplot to the current figure. Wrapper of `.Figure.add_subplot` with a difference in behavior explained in the notes section. Call signatures:: subplot(nrows, ncols, index, **kwargs) subplot(pos, **kwargs) subplot(**kwargs) subplot(ax) Parameters ---------- *args : int, (int, int, *index*), or `.SubplotSpec`, default: (1, 1, 1) The position of the subplot described by one of - Three integers (*nrows*, *ncols*, *index*). The subplot will take the *index* position on a grid with *nrows* rows and *ncols* columns. *index* starts at 1 in the upper left corner and increases to the right. *index* can also be a two-tuple specifying the (*first*, *last*) indices (1-based, and including *last*) of the subplot, e.g., ``fig.add_subplot(3, 1, (1, 2))`` makes a subplot that spans the upper 2/3 of the figure. - A 3-digit integer. The digits are interpreted as if given separately as three single-digit integers, i.e. ``fig.add_subplot(235)`` is the same as ``fig.add_subplot(2, 3, 5)``. Note that this can only be used if there are no more than 9 subplots. - A `.SubplotSpec`. projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional The projection type of the subplot (`~.axes.Axes`). *str* is the name of a custom projection, see `~matplotlib.projections`. The default None results in a 'rectilinear' projection. polar : bool, default: False If True, equivalent to projection='polar'. sharex, sharey : `~.axes.Axes`, optional Share the x or y `~matplotlib.axis` with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes. label : str A label for the returned axes. Returns ------- `.axes.SubplotBase`, or another subclass of `~.axes.Axes` The axes of the subplot. The returned axes base class depends on the projection used. It is `~.axes.Axes` if rectilinear projection is used and `.projections.polar.PolarAxes` if polar projection is used. The returned axes is then a subplot subclass of the base class. Other Parameters ---------------- **kwargs This method also takes the keyword arguments for the returned axes base class; except for the *figure* argument. The keyword arguments for the rectilinear base class `~.axes.Axes` can be found in the following table but there might also be other keyword arguments if another projection is used. %(Axes)s Notes ----- Creating a subplot will delete any pre-existing subplot that overlaps with it beyond sharing a boundary:: import matplotlib.pyplot as plt # plot a line, implicitly creating a subplot(111) plt.plot([1, 2, 3]) # now create a subplot which represents the top plot of a grid # with 2 rows and 1 column. Since this subplot will overlap the # first, the plot (and its axes) previously created, will be removed plt.subplot(211) If you do not want this behavior, use the `.Figure.add_subplot` method or the `.pyplot.axes` function instead. If the figure already has a subplot with key (*args*, *kwargs*) then it will simply make that subplot current and return it. This behavior is deprecated. Meanwhile, if you do not want this behavior (i.e., you want to force the creation of a new subplot), you must use a unique set of args and kwargs. The axes *label* attribute has been exposed for this purpose: if you want two subplots that are otherwise identical to be added to the figure, make sure you give them unique labels. In rare circumstances, `.add_subplot` may be called with a single argument, a subplot axes instance already created in the present figure but not in the figure's list of axes. See Also -------- .Figure.add_subplot .pyplot.subplots .pyplot.axes .Figure.subplots Examples -------- :: plt.subplot(221) # equivalent but more general ax1=plt.subplot(2, 2, 1) # add a subplot with no frame ax2=plt.subplot(222, frameon=False) # add a polar subplot plt.subplot(223, projection='polar') # add a red subplot that shares the x-axis with ax1 plt.subplot(224, sharex=ax1, facecolor='red') # delete ax2 from the figure plt.delaxes(ax2) # add ax2 to the figure again plt.subplot(ax2) rr)rrzbThe subplot index argument to subplot() appears to be a boolean. Did you intend to use subplots()?nrowsncolszhsubplot() got an unexpected keyword argument 'ncols' and/or 'nrows'. Did you intend to call subplots()?)r)r)r)) rrboolrrrr{ add_subplotbboxrfully_overlapsrYr)ryr\rrr axes_to_deleteother_ax ax_to_delr@r@rArs&       rz3.3sharexc Ks*tf|}|j|||||||d} || fS)a Create a figure and a set of subplots. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Parameters ---------- nrows, ncols : int, default: 1 Number of rows/columns of the subplot grid. sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False Controls sharing of properties among x (*sharex*) or y (*sharey*) axes: - True or 'all': x- or y-axis will be shared among all subplots. - False or 'none': each subplot x- or y-axis will be independent. - 'row': each subplot row will share an x- or y-axis. - 'col': each subplot column will share an x- or y-axis. When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. To later turn other subplots' ticklabels on, use `~matplotlib.axes.Axes.tick_params`. squeeze : bool, default: True - If True, extra dimensions are squeezed out from the returned array of `~matplotlib.axes.Axes`: - if only one subplot is constructed (nrows=ncols=1), the resulting single Axes object is returned as a scalar. - for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects. - for NxM, subplots with N>1 and M>1 are returned as a 2D array. - If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1. subplot_kw : dict, optional Dict with keywords passed to the `~matplotlib.figure.Figure.add_subplot` call used to create each subplot. gridspec_kw : dict, optional Dict with keywords passed to the `~matplotlib.gridspec.GridSpec` constructor used to create the grid the subplots are placed on. **fig_kw All additional keyword arguments are passed to the `.pyplot.figure` call. Returns ------- fig : `~.figure.Figure` ax : `.axes.Axes` or array of Axes *ax* can be either a single `~matplotlib.axes.Axes` object or an array of Axes objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above. Typical idioms for handling the return value are:: # using the variable ax for single a Axes fig, ax = plt.subplots() # using the variable axs for multiple Axes fig, axs = plt.subplots(2, 2) # using tuple unpacking for multiple Axes fig, (ax1, ax2) = plt.subplot(1, 2) fig, ((ax1, ax2), (ax3, ax4)) = plt.subplot(2, 2) The names ``ax`` and pluralized ``axs`` are preferred over ``axes`` because for the latter it's not clear if it refers to a single `~.axes.Axes` instance or a collection of these. See Also -------- .pyplot.figure .pyplot.subplot .pyplot.axes .Figure.subplots .Figure.add_subplot Examples -------- :: # First create some toy data: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) # Create just a figure and only one subplot fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') # Create two subplots and unpack the output array immediately f, (ax1, ax2) = plt.subplots(1, 2, sharey=True) ax1.plot(x, y) ax1.set_title('Sharing Y axis') ax2.scatter(x, y) # Create four polar axes and access them through the returned array fig, axs = plt.subplots(2, 2, subplot_kw=dict(polar=True)) axs[0, 0].plot(x, y) axs[1, 1].scatter(x, y) # Share a X axis with each column of subplots plt.subplots(2, 2, sharex='col') # Share a Y axis with each row of subplots plt.subplots(2, 2, sharey='row') # Share both X and Y axes with all subplots plt.subplots(2, 2, sharex='all', sharey='all') # Note that this is the same as plt.subplots(2, 2, sharex=True, sharey=True) # Create figure number 10 with a single subplot # and clears it if it already exists. fig, ax = plt.subplots(num=10, clear=True) )rr rshareysqueeze subplot_kw gridspec_kw)rsubplots) rr rrrrrfig_kwrZaxsr@r@rArs   r.)rrempty_sentinelcKs$tf|}|j||||d}||fS)am Build a layout of Axes based on ASCII art or nested lists. This is a helper function to build complex GridSpec layouts visually. .. note :: This API is provisional and may be revised in the future based on early user feedback. Parameters ---------- layout : list of list of {hashable or nested} or str A visual layout of how you want your Axes to be arranged labeled as strings. For example :: x = [['A panel', 'A panel', 'edge'], ['C panel', '.', 'edge']] Produces 4 axes: - 'A panel' which is 1 row high and spans the first two columns - 'edge' which is 2 rows high and is on the right edge - 'C panel' which in 1 row and 1 column wide in the bottom left - a blank space 1 row and 1 column wide in the bottom center Any of the entries in the layout can be a list of lists of the same form to create nested layouts. If input is a str, then it must be of the form :: ''' AAE C.E ''' where each character is a column and each line is a row. This only allows only single character Axes labels and does not allow nesting but is very terse. subplot_kw : dict, optional Dictionary with keywords passed to the `.Figure.add_subplot` call used to create each subplot. gridspec_kw : dict, optional Dictionary with keywords passed to the `.GridSpec` constructor used to create the grid the subplots are placed on. empty_sentinel : object, optional Entry in the layout to mean "leave this space empty". Defaults to ``'.'``. Note, if *layout* is a string, it is processed via `inspect.cleandoc` to remove leading white space, which may interfere with using white-space as the empty sentinel. **fig_kw All additional keyword arguments are passed to the `.pyplot.figure` call. Returns ------- fig : `~.figure.Figure` The new figure dict[label, Axes] A dictionary mapping the labels to the Axes objects. )rrr)rsubplot_mosaic)ZlayoutrrrrrZax_dictr@r@rArsG rcKs|dkrt}|\}}t||j|||d}|j|f|} | j} g} x.|jD]$} | | krZqL| j| jrL| j| qLWx| D] } t| qzW| S)a1 Create a subplot at a specific location inside a regular grid. Parameters ---------- shape : (int, int) Number of rows and of columns of the grid in which to place axis. loc : (int, int) Row number and column number of the axis location within the grid. rowspan : int, default: 1 Number of rows for the axis to span to the right. colspan : int, default: 1 Number of columns for the axis to span downwards. fig : `.Figure`, optional Figure to place the subplot in. Defaults to the current figure. **kwargs Additional keyword arguments are handed to `~.Figure.add_subplot`. Returns ------- `.axes.SubplotBase`, or another subclass of `~.axes.Axes` The axes of the subplot. The returned axes base class depends on the projection used. It is `~.axes.Axes` if rectilinear projection is used and `.projections.polar.PolarAxes` if polar projection is used. The returned axes is then a subplot subclass of the base class. Notes ----- The following call :: ax = subplot2grid((nrows, ncols), (row, col), rowspan, colspan) is identical to :: fig = gcf() gs = fig.add_gridspec(nrows, ncols) ax = fig.add_subplot(gs[row:row+rowspan, col:col+colspan]) N)rowspancolspan) r{rZnew_subplotspecr r rr rYr)shapelocrrrr\s1s2Z subplotspecrr rrrr@r@rA subplot2grid_s")     r!cCs|dkrt}|j}|S)a  Make and return a second axes that shares the *x*-axis. The new axes will overlay *ax* (or the current axes if *ax* is *None*), and its ticks will be on the right. Examples -------- :doc:`/gallery/subplots_axes_and_figures/two_scales` N)rtwinx)rax1r@r@rAr"s r"cCs|dkrt}|j}|S)a Make and return a second axes that shares the *y*-axis. The new axes will overlay *ax* (or the current axes if *ax* is *None*), and its ticks will be on the top. Examples -------- :doc:`/gallery/subplots_axes_and_figures/two_scales` N)rtwiny)rr#r@r@rAr$s r$c Csb|dkrt}tdditd d}WdQRX|jddt|jd rXtjj|jj t ||S) zy Launch a subplot tool window for a figure. A :class:`matplotlib.widgets.SubplotTool` instance is returned. NZtoolbarNoner)rg?)topr)r&r) r{rrsubplots_adjustrrrrrrr%)Z targetfigZtoolfigr@r@rA subplot_tools  r)padHzG?cCstj||||ddS)a6 Adjust the padding between and around subplots. Parameters ---------- pad : float, default: 1.08 Padding between the figure edge and the edges of subplots, as a fraction of the font size. h_pad, w_pad : float, default: *pad* Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. rect : tuple (left, bottom, right, top), default: (0, 0, 1, 1) A rectangle in normalized figure coordinates into which the whole subplots area (including labels) will fit. )r*h_padw_padrectN)r{ tight_layout)r*r,r-r.r@r@rAr/sr/cCs&t}|dkr|j }|j|dS)a@ Turn the axes box on or off on the current axes. Parameters ---------- on : bool or None The new `~matplotlib.axes.Axes` box state. If ``None``, toggle the state. See Also -------- :meth:`matplotlib.axes.Axes.set_frame_on` :meth:`matplotlib.axes.Axes.get_frame_on` N)rZ get_frame_onZ set_frame_on)onrr@r@rAboxs r1cOs*t}| r| r|jS|j||}|S)a Get or set the x limits of the current axes. Call signatures:: left, right = xlim() # return the current xlim xlim((left, right)) # set the xlim to left, right xlim(left, right) # set the xlim to left, right If you do not specify args, you can pass *left* or *right* as kwargs, i.e.:: xlim(right=3) # adjust the right leaving left unchanged xlim(left=1) # adjust the left leaving right unchanged Setting limits turns autoscaling off for the x-axis. Returns ------- left, right A tuple of the new x-axis limits. Notes ----- Calling this function with no arguments (e.g. ``xlim()``) is the pyplot equivalent of calling `~.Axes.get_xlim` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_xlim` on the current axes. All arguments are passed though. )rZget_xlimZset_xlim)ryr\rretr@r@rAxlims   r3cOs*t}| r| r|jS|j||}|S)a Get or set the y-limits of the current axes. Call signatures:: bottom, top = ylim() # return the current ylim ylim((bottom, top)) # set the ylim to bottom, top ylim(bottom, top) # set the ylim to bottom, top If you do not specify args, you can alternatively pass *bottom* or *top* as kwargs, i.e.:: ylim(top=3) # adjust the top leaving bottom unchanged ylim(bottom=1) # adjust the bottom leaving top unchanged Setting limits turns autoscaling off for the y-axis. Returns ------- bottom, top A tuple of the new y-axis limits. Notes ----- Calling this function with no arguments (e.g. ``ylim()``) is the pyplot equivalent of calling `~.Axes.get_ylim` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_ylim` on the current axes. All arguments are passed though. )rZget_ylimZset_ylim)ryr\rr2r@r@rAylim!s   r4cKsrt}|dkr(|j}|dk r2tdn |j|}|dkrD|j}n|j|f|}x|D]}|j|qXW||fS)a Get or set the current tick locations and labels of the x-axis. Pass no arguments to return the current values without modifying them. Parameters ---------- ticks : array-like, optional The list of xtick locations. Passing an empty list removes all xticks. labels : array-like, optional The labels to place at the given *ticks* locations. This argument can only be passed if *ticks* is passed as well. **kwargs `.Text` properties can be used to control the appearance of the labels. Returns ------- locs The list of xtick locations. labels The list of xlabel `.Text` objects. Notes ----- Calling this function with no arguments (e.g. ``xticks()``) is the pyplot equivalent of calling `~.Axes.get_xticks` and `~.Axes.get_xticklabels` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_xticks` and `~.Axes.set_xticklabels` on the current axes. Examples -------- >>> locs, labels = xticks() # Get the current locations and labels. >>> xticks(np.arange(0, 1, step=0.2)) # Set label locations. >>> xticks(np.arange(3), ['Tom', 'Dick', 'Sue']) # Set text labels. >>> xticks([0, 1, 2], ['January', 'February', 'March'], ... rotation=20) # Set text labels and properties. >>> xticks([]) # Disable xticks. NzAxticks(): Parameter 'labels' can't be set without setting 'ticks')rZ get_xticksrZ set_xticksZget_xticklabelsZset_xticklabelsr)tickslabelsr\rlocslr@r@rAxticksFs(    r9cKsrt}|dkr(|j}|dk r2tdn |j|}|dkrD|j}n|j|f|}x|D]}|j|qXW||fS)a Get or set the current tick locations and labels of the y-axis. Pass no arguments to return the current values without modifying them. Parameters ---------- ticks : array-like, optional The list of ytick locations. Passing an empty list removes all yticks. labels : array-like, optional The labels to place at the given *ticks* locations. This argument can only be passed if *ticks* is passed as well. **kwargs `.Text` properties can be used to control the appearance of the labels. Returns ------- locs The list of ytick locations. labels The list of ylabel `.Text` objects. Notes ----- Calling this function with no arguments (e.g. ``yticks()``) is the pyplot equivalent of calling `~.Axes.get_yticks` and `~.Axes.get_yticklabels` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_yticks` and `~.Axes.set_yticklabels` on the current axes. Examples -------- >>> locs, labels = yticks() # Get the current locations and labels. >>> yticks(np.arange(0, 1, step=0.2)) # Set label locations. >>> yticks(np.arange(3), ['Tom', 'Dick', 'Sue']) # Set text labels. >>> yticks([0, 1, 2], ['January', 'February', 'March'], ... rotation=45) # Set text labels and properties. >>> yticks([]) # Disable yticks. NzAyticks(): Parameter 'labels' can't be set without setting 'ticks')rZ get_yticksrZ set_yticksZget_yticklabelsZset_yticklabelsr)r5r6r\rr7r8r@r@rAytickss(    r:cKstt}t|tstdtdd||||gDrN| rN|jj}|jj}n|j|f|||d|\}}||fS)a Get or set the radial gridlines on the current polar plot. Call signatures:: lines, labels = rgrids() lines, labels = rgrids(radii, labels=None, angle=22.5, fmt=None, **kwargs) When called with no arguments, `.rgrids` simply returns the tuple (*lines*, *labels*). When called with arguments, the labels will appear at the specified radial distances and angle. Parameters ---------- radii : tuple with floats The radii for the radial gridlines labels : tuple with strings or None The labels to use at each radial gridline. The `matplotlib.ticker.ScalarFormatter` will be used if None. angle : float The angular position of the radius labels in degrees. fmt : str or None Format string used in `matplotlib.ticker.FormatStrFormatter`. For example '%f'. Returns ------- lines : list of `.lines.Line2D` The radial gridlines. labels : list of `.text.Text` The tick labels. Other Parameters ---------------- **kwargs *kwargs* are optional `~.Text` properties for the labels. See Also -------- .pyplot.thetagrids .projections.polar.PolarAxes.set_rgrids .Axis.get_gridlines .Axis.get_ticklabels Examples -------- :: # set the locations of the radial gridlines lines, labels = rgrids( (0.25, 0.5, 1.0) ) # set the locations and labels of the radial gridlines lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' )) z"rgrids only defined for polar axescss|]}|dkVqdS)Nr@)rFrCr@r@rA szrgrids..)r6anglefmt) rrrrrZyaxisZ get_gridlinesget_ticklabelsZ set_rgrids)Zradiir6r<r=r\rlinesr@r@rArgridss;    r@cKspt}t|tstdtdd|||gDrL| rL|jj}|jj}n|j|f||d|\}}||fS)a Get or set the theta gridlines on the current polar plot. Call signatures:: lines, labels = thetagrids() lines, labels = thetagrids(angles, labels=None, fmt=None, **kwargs) When called with no arguments, `.thetagrids` simply returns the tuple (*lines*, *labels*). When called with arguments, the labels will appear at the specified angles. Parameters ---------- angles : tuple with floats, degrees The angles of the theta gridlines. labels : tuple with strings or None The labels to use at each radial gridline. The `.projections.polar.ThetaFormatter` will be used if None. fmt : str or None Format string used in `matplotlib.ticker.FormatStrFormatter`. For example '%f'. Note that the angle in radians will be used. Returns ------- lines : list of `.lines.Line2D` The theta gridlines. labels : list of `.text.Text` The tick labels. Other Parameters ---------------- **kwargs *kwargs* are optional `~.Text` properties for the labels. See Also -------- .pyplot.rgrids .projections.polar.PolarAxes.set_thetagrids .Axis.get_gridlines .Axis.get_ticklabels Examples -------- :: # set the locations of the angular gridlines lines, labels = thetagrids(range(45, 360, 90)) # set the locations and labels of the angular gridlines lines, labels = thetagrids(range(45, 360, 90), ('NE', 'NW', 'SW', 'SE')) z&thetagrids only defined for polar axescss|]}|dkVqdS)Nr@)rFparamr@r@rAr;@szthetagrids..)r6r=) rrrrrZxaxisZ get_ticklinesr>Zset_thetagrids)Zanglesr6r=r\rr?r@r@rA thetagridss8   rBcCsdS)Nr@r@r@r@rAplottingLsrCc sLddddddddd h ttOtjttfd d tjDS) z< Get a sorted list of all of the plotting commands. colormapscolorsrrget_plot_commandsrginputrCwaitforbuttonpressc3sB|]:\}}|jd r|krtj|rtj|kr|VqdS)_N) startswithr isfunction getmodule)rFnamer)exclude this_moduler@rAr;]s z$get_plot_commands..)setrDrrLrFrrrRr@r@)rNrOrArFPs rFcCs ttjS)aN, Matplotlib provides a number of colormaps, and others can be added using :func:`~matplotlib.cm.register_cmap`. This function documents the built-in colormaps, and will also return a list of all registered colormaps if called. You can set the colormap for an image, pcolor, scatter, etc, using a keyword argument:: imshow(X, cmap=cm.hot) or using the :func:`set_cmap` function:: imshow(X) pyplot.set_cmap('hot') pyplot.set_cmap('jet') In interactive mode, :func:`set_cmap` will update the colormap post-hoc, allowing you to see which one works best for your data. All built-in colormaps can be reversed by appending ``_r``: For instance, ``gray_r`` is the reverse of ``gray``. There are several common color schemes used in visualization: Sequential schemes for unipolar data that progresses from low to high Diverging schemes for bipolar data that emphasizes positive or negative deviations from a central value Cyclic schemes for plotting values that wrap around at the endpoints, such as phase angle, wind direction, or time of day Qualitative schemes for nominal data that has no inherent ordering, where color is used only to distinguish categories Matplotlib ships with 4 perceptually uniform color maps which are the recommended color maps for sequential data: ========= =================================================== Colormap Description ========= =================================================== inferno perceptually uniform shades of black-red-yellow magma perceptually uniform shades of black-red-white plasma perceptually uniform shades of blue-red-yellow viridis perceptually uniform shades of blue-green-yellow ========= =================================================== The following colormaps are based on the `ColorBrewer `_ color specifications and designs developed by Cynthia Brewer: ColorBrewer Diverging (luminance is highest at the midpoint, and decreases towards differently-colored endpoints): ======== =================================== Colormap Description ======== =================================== BrBG brown, white, blue-green PiYG pink, white, yellow-green PRGn purple, white, green PuOr orange, white, purple RdBu red, white, blue RdGy red, white, gray RdYlBu red, yellow, blue RdYlGn red, yellow, green Spectral red, orange, yellow, green, blue ======== =================================== ColorBrewer Sequential (luminance decreases monotonically): ======== ==================================== Colormap Description ======== ==================================== Blues white to dark blue BuGn white, light blue, dark green BuPu white, light blue, dark purple GnBu white, light green, dark blue Greens white to dark green Greys white to black (not linear) Oranges white, orange, dark brown OrRd white, orange, dark red PuBu white, light purple, dark blue PuBuGn white, light purple, dark green PuRd white, light purple, dark red Purples white to dark purple RdPu white, pink, dark purple Reds white to dark red YlGn light yellow, dark green YlGnBu light yellow, light green, dark blue YlOrBr light yellow, orange, dark brown YlOrRd light yellow, orange, dark red ======== ==================================== ColorBrewer Qualitative: (For plotting nominal data, `.ListedColormap` is used, not `.LinearSegmentedColormap`. Different sets of colors are recommended for different numbers of categories.) * Accent * Dark2 * Paired * Pastel1 * Pastel2 * Set1 * Set2 * Set3 A set of colormaps derived from those of the same name provided with Matlab are also included: ========= ======================================================= Colormap Description ========= ======================================================= autumn sequential linearly-increasing shades of red-orange-yellow bone sequential increasing black-white color map with a tinge of blue, to emulate X-ray film cool linearly-decreasing shades of cyan-magenta copper sequential increasing shades of black-copper flag repetitive red-white-blue-black pattern (not cyclic at endpoints) gray sequential linearly-increasing black-to-white grayscale hot sequential black-red-yellow-white, to emulate blackbody radiation from an object at increasing temperatures jet a spectral map with dark endpoints, blue-cyan-yellow-red; based on a fluid-jet simulation by NCSA [#]_ pink sequential increasing pastel black-pink-white, meant for sepia tone colorization of photographs prism repetitive red-yellow-green-blue-purple-...-green pattern (not cyclic at endpoints) spring linearly-increasing shades of magenta-yellow summer sequential linearly-increasing shades of green-yellow winter linearly-increasing shades of blue-green ========= ======================================================= A set of palettes from the `Yorick scientific visualisation package `_, an evolution of the GIST package, both by David H. Munro are included: ============ ======================================================= Colormap Description ============ ======================================================= gist_earth mapmaker's colors from dark blue deep ocean to green lowlands to brown highlands to white mountains gist_heat sequential increasing black-red-orange-white, to emulate blackbody radiation from an iron bar as it grows hotter gist_ncar pseudo-spectral black-blue-green-yellow-red-purple-white colormap from National Center for Atmospheric Research [#]_ gist_rainbow runs through the colors in spectral order from red to violet at full saturation (like *hsv* but not cyclic) gist_stern "Stern special" color table from Interactive Data Language software ============ ======================================================= A set of cyclic color maps: ================ ================================================= Colormap Description ================ ================================================= hsv red-yellow-green-cyan-blue-magenta-red, formed by changing the hue component in the HSV color space twilight perceptually uniform shades of white-blue-black-red-white twilight_shifted perceptually uniform shades of black-blue-white-red-black ================ ================================================= Other miscellaneous schemes: ============= ======================================================= Colormap Description ============= ======================================================= afmhot sequential black-orange-yellow-white blackbody spectrum, commonly used in atomic force microscopy brg blue-red-green bwr diverging blue-white-red coolwarm diverging blue-gray-red, meant to avoid issues with 3D shading, color blindness, and ordering of colors [#]_ CMRmap "Default colormaps on color images often reproduce to confusing grayscale images. The proposed colormap maintains an aesthetically pleasing color image that automatically reproduces to a monotonic grayscale with discrete, quantifiable saturation levels." [#]_ cubehelix Unlike most other color schemes cubehelix was designed by D.A. Green to be monotonically increasing in terms of perceived brightness. Also, when printed on a black and white postscript printer, the scheme results in a greyscale with monotonically increasing brightness. This color scheme is named cubehelix because the (r, g, b) values produced can be visualised as a squashed helix around the diagonal in the (r, g, b) color cube. gnuplot gnuplot's traditional pm3d scheme (black-blue-red-yellow) gnuplot2 sequential color printable as gray (black-blue-violet-yellow-white) ocean green-blue-white rainbow spectral purple-blue-green-yellow-orange-red colormap with diverging luminance seismic diverging blue-white-red nipy_spectral black-purple-blue-green-yellow-red-white spectrum, originally from the Neuroimaging in Python project terrain mapmaker's colors, blue-green-yellow-brown-white, originally from IGOR Pro turbo Spectral map (purple-blue-green-yellow-orange-red) with a bright center and darker endpoints. A smoother alternative to jet. ============= ======================================================= The following colormaps are redundant and may be removed in future versions. It's recommended to use the names in the descriptions instead, which produce identical output: ========= ======================================================= Colormap Description ========= ======================================================= gist_gray identical to *gray* gist_yarg identical to *gray_r* binary identical to *gray_r* ========= ======================================================= .. rubric:: Footnotes .. [#] Rainbow colormaps, ``jet`` in particular, are considered a poor choice for scientific visualization by many researchers: `Rainbow Color Map (Still) Considered Harmful `_ .. [#] Resembles "BkBlAqGrYeOrReViWh200" from NCAR Command Language. See `Color Table Gallery `_ .. [#] See `Diverging Color Maps for Scientific Visualization `_ by Kenneth Moreland. .. [#] See `A Color Map for Effective Black-and-White Rendering of Color-Scale Images `_ by Carey Rappaport )rrZ_cmap_registryr@r@r@rArDcsurDc st}tjdtjd}g}tdtdx|D]x}t|j}d}|dk rv|j|}|dk rvtj |j dj dd }d |}|j ||gt t|t t|q0Wd d d }|d jdd|gfd d|D|g}dj|t_dS)z Generate the plotting docstring. These must be done after the entire module is imported, so it is called from the end of this module, which is generated by boilerplate.py. z(?:\s*).+?\.(?:\s+|$))flagsZFunction Descriptionr=Nr  z`%s`=z {:{}} {:{}}cs g|]\}}dj||qS)z {:{}} {:{}})r)rFrMsummary)max_name max_summaryr@rAr}sz1_setup_pyplot_info_docstrings..)rFrecompileDOTALLrr__doc__r~rcleandocrreplacerYrrjoinrC) commandsZfirst_sentenceZrowsrMdocrVr~ separatorr?r@)rWrXrA_setup_pyplot_info_docstringsZs(   (rccKsJ|dkrt}|dkrtd|dkr,t}tj|f||d|}|S)NzNo mappable was found to use for colorbar creation. 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See Also -------- colormaps matplotlib.cm.register_cmap matplotlib.cm.get_cmap image)cmapN)rrrrMreset_cmap)rmrjr@r@rArns  rncCstjj||S)N)rcrlimread)rrr@r@rArosrocKstjj||f|S)N)rcrlimsave)rZarrr\r@r@rArpsrpcKsVtj|}|dkrt}n"t|t|d}|jddddg}|j|f|}t||S)ad Display an array as a matrix in a new figure window. The origin is set at the upper left hand corner and rows (first dimension of the array) are displayed horizontally. The aspect ratio of the figure window is that of the array, unless this would make an excessively short or narrow figure. Tick labels for the xaxis are placed on top. Parameters ---------- A : array-like(M, N) The matrix to be displayed. fignum : None or int or False If *None*, create a new figure window with automatic numbering. If a nonzero integer, draw into the figure with the given number (create it if it does not exist). 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This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. autumnN)rnr@r@r@rArE srcCs tddS)z Set the colormap to "bone". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. boneN)rnr@r@r@rArP srcCs tddS)z Set the colormap to "cool". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. coolN)rnr@r@r@rAr[ srcCs tddS)z Set the colormap to "copper". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. copperN)rnr@r@r@rArf srcCs tddS)z Set the colormap to "flag". This changes the default colormap as well as the colormap of the current image if there is one. 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This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. pinkN)rnr@r@r@rAr srcCs tddS)z Set the colormap to "prism". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. prismN)rnr@r@r@rAr srcCs tddS)z Set the colormap to "spring". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. springN)rnr@r@r@rAr srcCs tddS)z Set the colormap to "summer". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. summerN)rnr@r@r@rAr srcCs tddS)z Set the colormap to "winter". This changes the default colormap as well as the colormap of the current image if there is one. 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