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This is convenient for interactive work, but for programming it is recommended that the namespaces be kept separate, e.g.:: import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 5, 0.1); y = np.sin(x) plt.plot(x, y) i����( t print_functionN( t _pylab_helperst interactive( t dedentt silent_listt is_string_liket is_numlike( t docstring( t Figuret figaspect( t FigureCanvasBase( t imread( t imsave( t rcParamst rcParamsDefaultt get_backend( t interactive_bk( t getpt gett Artist( t setp( t Axest Subplott _string_to_bool( t PolarAxes( t mlab( t get_scale_docst get_scale_names( t cm( t get_cmapt register_cmap( t Normalizet normalize( t Line2D( t Textt Annotation( t Polygont Rectanglet Circlet Arrow( t SubplotToolt Buttont Slidert Widget( t TickHelpert Formattert FixedFormattert NullFormattert FuncFormattert FormatStrFormattert ScalarFormattert LogFormattert LogFormatterExponentt LogFormatterMathtextt Locatort IndexLocatort FixedLocatort NullLocatort LinearLocatort LogLocatort AutoLocatort MultipleLocatort MaxNLocatorc C s� t d } t d s! | t k r% d St d j d � } d t j k r� | d k r� d d l } | j j � r�d d | t d <q�nd t j k r� | d k r� d d l } | j j � s�d t d <q�n� d t j k r| d k rd d l } | j j j � s�d t d <q�np d t j k rh| d k rhd d l } | j � j � r�d d | t d <q�n d t j k r�| d k r�n d S( s� If rcParams['backend_fallback'] is true, check to see if the current backend is compatible with the current running event loop, and if not switches to a compatible one. t backendt backend_fallbackNt Aggt wxt WXt WXAggi����t qtt QtAggt qtAggs PyQt4.QtCoret Qt4Aggt qt4Aggt gtkt GTKt GTKAggt GTKCairot Tkintert TkAgg( RC RD ( RK RL RM ( R t _interactive_bkt endswitht syst modulesRB t Appt IsMainLoopRunningRE t qAppt startingUpt PyQt4.QtGuit QtGuit gobjectt MainLoopt is_running( R? t is_agg_backendRB RE t PyQt4RZ ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt _backend_selection; s0 ( t pylab_setupc C s% | d k r t � } n | j | � S( N( t Nonet gcft findobj( t ot match( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRc c s c C sL t d � t j | d t d t �d d l m } | � \ a a a a d S( s� Switch the default backend. This feature is **experimental**, and is only expected to work switching to an image backend. Eg, if you have a bunch of PostScript scripts that you want to run from an interactive ipython session, you may want to switch to the PS backend before running them to avoid having a bunch of GUI windows popup. If you try to interactively switch from one GUI backend to another, you will explode. Calling this command will close all open windows. t allt warnt forcei����( R` N( t closet matplotlibt uset Falset Truet matplotlib.backendsR` t _backend_modt new_figure_managert draw_if_interactivet _show( t newbackendR` ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt switch_backendj s c O s t | | � d S( sM Display a figure. When running in ipython with its pylab mode, display all figures and return to the ipython prompt. In non-interactive mode, display all figures and block until the figures have been closed; in interactive mode it has no effect unless figures were created prior to a change from non-interactive to interactive mode (not recommended). In that case it displays the figures but does not block. A single experimental keyword argument, *block*, may be set to True or False to override the blocking behavior described above. N( Rr ( t argst kw( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt show} s c C s t j � S( s, Return status of interactive mode. ( Rj t is_interactive( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt isinteractive� s c C s t j t � d S( s Turn interactive mode off.N( Rj R Rl ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt ioff� s c C s t j t � d S( s Turn interactive mode on.N( Rj R Rm ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt ion� s c C s� t d } | t k re t j j � } | d k re | j } | j � t d t � | j | � d Sn d d l } | j | � d S( s� Pause for *interval* seconds. If there is an active figure it will be updated and displayed, and the gui event loop will run during the pause. If there is no active figure, or if a non-interactive backend is in use, this executes time.sleep(interval). This can be used for crude animation. For more complex animation, see :mod:`matplotlib.animation`. This function is experimental; its behavior may be changed or extended in a future release. R? t blockNi����( R RP R t Gcft get_activeRa t canvast drawRw Rl t start_event_loopt timet sleep( t intervalR? t figManagerR R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt pause� s c O s t j | | � d S( N( Rj t rc( Ru t kwargs( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C s t j � t � d S( N( Rj t rcdefaultsRq ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C s t � j � S( s� Get the current colorable artist. Specifically, returns the current :class:`~matplotlib.cm.ScalarMappable` instance (image or patch collection), or *None* if no images or patch collections have been defined. The commands :func:`~matplotlib.pyplot.imshow` and :func:`~matplotlib.pyplot.figimage` create :class:`~matplotlib.image.Image` instances, and the commands :func:`~matplotlib.pyplot.pcolor` and :func:`~matplotlib.pyplot.scatter` create :class:`~matplotlib.collections.Collection` instances. The current image is an attribute of the current axes, or the nearest earlier axes in the current figure that contains an image. ( Rb t _gci( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt gci� s c C s t � j | � d S( s Set the current image. This image will be the target of colormap commands like :func:`~matplotlib.pyplot.jet`, :func:`~matplotlib.pyplot.hot` or :func:`~matplotlib.pyplot.clim`). The current image is an attribute of the current axes. N( t gcat _sci( t im( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt sci� s c O s t | | � } t � | S( N( t _setpRq ( Ru R� t ret( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR � s c s | d k r t d } n | d k r2 t d } n | d k rK t d } n | d k rd t d } n t � } | r� t | � d n d } d } | d k r� | } nt t | � r | } t � } | | k r� | d k r� t j d � n | } q| j | � } | | } n t | � } t j j | � � � d k r�t � j � d k rTd } n t | d | d | d | d | d | d | | �� | r�� j | � � j j j | � n � f d � } � j j d | � } | � _ t j j � � | � j j _ n t � � j j S( s� Create a new figure. call signature:: figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k') Create a new figure and return a :class:`matplotlib.figure.Figure` instance. If *num* = *None*, the figure number will be incremented and a new figure will be created. The returned figure objects have a *number* attribute holding this number. If *num* is an integer, and ``figure(num)`` already exists, make it active and return a reference to it. If ``figure(num)`` does not exist it will be created. Numbering starts at 1, MATLAB style:: figure(1) The same applies if *num* is a string. In this case *num* will be used as an explicit figure label:: figure("today") and in windowed backends, the window title will be set to this figure label. If you are creating many figures, make sure you explicitly call "close" on the figures you are not using, because this will enable pylab to properly clean up the memory. Optional keyword arguments: ========= ======================================================= Keyword Description ========= ======================================================= figsize width x height in inches; defaults to rc figure.figsize dpi resolution; defaults to rc figure.dpi facecolor the background color; defaults to rc figure.facecolor edgecolor the border color; defaults to rc figure.edgecolor ========= ======================================================= rcParams defines the default values, which can be modified in the matplotlibrc file *FigureClass* is a :class:`~matplotlib.figure.Figure` or derived class that will be passed on to :meth:`new_figure_manager` in the backends which allows you to hook custom Figure classes into the pylab interface. Additional kwargs will be passed on to your figure init function. s figure.figsizes figure.dpis figure.facecolors figure.edgecolori t Rf s( close('all') closes all existing figurest psiH t figsizet dpit facecolort edgecolort frameont FigureClassc s t j j � � d S( N( R R} t set_active( t event( R� ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt make_active^ s t button_press_eventN( Ra R t get_fignumst maxR t get_figlabelst warningsRg t indext intR R} t get_fig_managerR t lowerRp t set_window_titleR t figuret set_labelt mpl_connectt _cidgcfR� t numberRq ( t numR� R� R� R� R� R� R� t allnumst next_numt figLabelt allLabelst inumR� t cid( ( R� s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � sX < c C s0 t j j � } | d k r% | j j St � Sd S( s) Return a reference to the current figure.N( R R} R~ Ra R R� ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRb k s c C s t j j j � } | j � | S( s) Return a list of existing figure numbers.( R R} t figst keyst sort( t fignums( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� v s c C sE t j j � } | j d d � � g | D] } | j j j � ^ q) S( s( Return a list of existing figure labels.t keyc S s | j S( N( R� ( t m( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt <lambda> s ( R R} t get_all_fig_managersR� R R� t get_label( t figManagersR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� | s c C s8 t j j � } | d k r4 t � t j j � } n | S( N( R R} R~ Ra Rb ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt get_current_fig_manager� s c C s t � j j | | � S( N( R� R R� ( t st func( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt connect� s c C s t � j j | � S( N( R� R t mpl_disconnect( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt disconnect� s c G s9 t | � d k rG t j j � } | d k r1 d St j j | j � n� t | � d k r)| d } | d k r t j j � q5t | t � r� t j j | � q5t | � r� t � } | | k r&t � | j | � } t j j | � q&q5t | t � rt j j | � q5t d t | � � � n t d � � d S( sS Close a figure window. ``close()`` by itself closes the current figure ``close(h)`` where *h* is a :class:`Figure` instance, closes that figure ``close(num)`` closes figure number *num* ``close(name)`` where *name* is a string, closes figure with that label ``close('all')`` closes all the figure windows i Ni Rf s& Unrecognized argument type %s to closes close takes 0 or 1 arguments( t lenR R} R~ Ra t destroyR� t destroy_allt isinstanceR� R R� R� R� R t destroy_figt TypeErrort type( Ru R� t argR� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRi � s( c C s t � j � t � d S( s# Clear the current figure. N( Rb t clfRq ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C s t � j j � d S( s� Redraw the current figure. This is used in interactive mode to update a figure that has been altered using one or more plot object method calls; it is not needed if figure modification is done entirely with pyplot functions, if a sequence of modifications ends with a pyplot function, or if matplotlib is in non-interactive mode and the sequence of modifications ends with :func:`show` or :func:`savefig`. A more object-oriented alternative, given any :class:`~matplotlib.figure.Figure` instance, :attr:`fig`, that was created using a :mod:`~matplotlib.pyplot` function, is:: fig.canvas.draw() N( R� R R� ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s t � } | j | | � S( N( Rb t savefig( Ru R� t fig( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s t � j | | � S( s� Blocking call to interact with the figure. This will wait for *n* clicks from the user and return a list of the coordinates of each click. If *timeout* is negative, does not timeout. ( Rb t ginput( Ru R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s t � j | | � S( s Blocking call to interact with the figure. This will wait for *n* key or mouse clicks from the user and return a list containing True's for keyboard clicks and False's for mouse clicks. If *timeout* is negative, does not timeout. ( Rb t waitforbuttonpress( Ru R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s t � j | | � } t � | S( N( Rb t textRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt figtext� s c O s t � j | | � } t � | S( N( Rb t suptitleRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s sA Addition kwargs: hold = [True|False] overrides default hold states c O s t � j | | � } t � | S( N( Rb t figimageRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� s c K s& t � j | | | | � } t � | S( s& Place a legend in the figure. *labels* a sequence of strings *handles* a sequence of :class:`~matplotlib.lines.Line2D` or :class:`~matplotlib.patches.Patch` instances *loc* can be a string or an integer specifying the legend location A :class:`matplotlib.legend.Legend` instance is returned. Example:: figlegend( (line1, line2, line3), ('label1', 'label2', 'label3'), 'upper right' ) .. seealso:: :func:`~matplotlib.pyplot.legend` ( Rb t legendRq ( t handlest labelst locR� t l( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt figlegend s c C sO t � } | j � } | j | � | j | � | j � } t d d | �d S( s� Set the hold state. If *b* is None (default), toggle the hold state, else set the hold state to boolean value *b*:: hold() # toggle hold hold(True) # hold is on hold(False) # hold is off When *hold* is *True*, subsequent plot commands will be added to the current axes. When *hold* is *False*, the current axes and figure will be cleared on the next plot command. t axest holdN( Rb R� R� t isholdR� ( t bR� t ax( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� 0 s c C s t � j � S( s5 Return the hold status of the current axes. ( R� R� ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� K s c O s. t � } t t � | | | � t | � d S( s� Call a function with hold(True). Calls:: func(*args, **kwargs) with ``hold(True)`` and then restores the hold state. N( R� R� Rm ( R� Ru R� t h( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt overQ s c O s� t | � } t | � d k r+ t d | � S| d k rF t d � � n | d } t | t � rt t � j | � } n | } t � j | | � } t � | S( s� Add an axes to the figure. The axes is added at position *rect* specified by: - ``axes()`` by itself creates a default full ``subplot(111)`` window axis. - ``axes(rect, axisbg='w')`` where *rect* = [left, bottom, width, height] in normalized (0, 1) units. *axisbg* is the background color for the axis, default white. - ``axes(h)`` where *h* is an axes instance makes *h* the current axis. An :class:`~matplotlib.axes.Axes` instance is returned. ======= ============ ================================================ kwarg Accepts Desctiption ======= ============ ================================================ axisbg color the axes background color frameon [True|False] display the frame? sharex otherax current axes shares xaxis attribute with otherax sharey otherax current axes shares yaxis attribute with otherax polar [True|False] use a polar axes? ======= ============ ================================================ Examples: * :file:`examples/pylab_examples/axes_demo.py` places custom axes. * :file:`examples/pylab_examples/shared_axis_demo.py` uses *sharex* and *sharey*. i io i s( Only one non keyword arg to axes allowed( R� t subplotR� R� R Rb t scat add_axesRq ( Ru R� t nargsR� t at rect( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� d s ! c G s? t | � s t � } n | d } t � j | � } t � | S( s� Remove an axes from the current figure. If *ax* doesn't exist, an error will be raised. ``delaxes()``: delete the current axes i ( R� R� Rb t delaxesRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C sl t j j � } xJ | D]B } | | j j j k r t j j | � | j j j | � d Sq Wt d � � d S( sj Set the current Axes instance to *ax*. The current Figure is updated to the parent of *ax*. Ns1 Axes instance argument was not found in a figure.( R R} R� R R� R� R� R� t ValueError( R� t managersR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c K s t � j | � } | S( sB Return the current axis instance. This can be used to control axis properties either using set or the :class:`~matplotlib.axes.Axes` methods, for example, setting the xaxis range:: plot(t,s) set(gca(), 'xlim', [0,10]) or:: plot(t,s) a = gca() a.set_xlim([0,10]) ( Rb R� ( R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s� t | � d k r5 t | d t � r5 t j d � n t � } | j | | � } | j } g } xE | j D]: } | | k r� qi n | j | j � ri | j | � qi qi Wx | D] } t | � q� Wt � | S( s� Create a new axes (subplot). Creating axes with:: subplot(numRows, numCols, plotNum) where *plotNum* = 1 is the first plot number and increasing *plotNums* fill rows first. max(*plotNum*) == *numRows* * *numCols* You can leave out the commas if *numRows* <= *numCols* <= *plotNum* < 10, as in:: subplot(211) # 2 rows, 1 column, first (upper) plot ``subplot(111)`` is the default axis. New subplots that overlap old will delete the old axes. If you do not want this behavior, use :meth:`~matplotlib.figure.Figure.add_subplot` or the :func:`~matplotlib.pyplot.axes` command. Eg.:: from pylab import * plot([1,2,3]) # implicitly creates subplot(111) subplot(211) # overlaps, subplot(111) is killed plot(rand(12), rand(12)) subplot(212, axisbg='y') # creates 2nd subplot with yellow background Keyword arguments: *axisbg*: The background color of the subplot, which can be any valid color specifier. See :mod:`matplotlib.colors` for more information. *polar*: A boolean flag indicating whether the subplot plot should be a polar projection. Defaults to *False*. *projection*: A string giving the name of a custom projection to be used for the subplot. This projection must have been previously registered. See :mod:`matplotlib.projections`. .. seealso:: :func:`~matplotlib.pyplot.axes` For additional information on :func:`axes` and :func:`subplot` keyword arguments. :file:`examples/pylab_examples/polar_scatter.py` For an example **Example:** .. plot:: mpl_examples/pylab_examples/subplot_demo.py i i sb The subplot index argument to subplot() appears to be a boolean. Did you intend to use subplots()?( R� R� t boolR� Rg Rb t add_subplott bboxR� t fully_overlapst appendR� Rq ( Ru R� R� R� R� t byebyet otherR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s A% i c K s� t | t � r' | r d } q' d } n t | t � rN | rE d } qN d } n d d d d g } | | k r� t | t � r� t j d � n t d | | f � � n | | k r� t d | | f � � n | d k r� i } n t | � } | | } t j | d t �} | j | | d | � } | | d <t j d | � d | � f \ } } | j � | } | j � } i t j | � d 6t j | d t �d 6| d 6| d 6} | | } | | } x� t d | � D]� } | | | k r�d | d <n | | | | d <| | | k r d | d <n | | | | d <| j | | | d | � | | <q�W| j | | � } | d k r�| d k r�xa | d d � d d � f j D]= } x! | j � D] } | j t � q�W| j j j t � q�Wn | d k r\| d k r\xa | d d � d d � f j D]= } x! | j � D] } | j t � q+W| j j j t � qWn | r�| d k r�| | d f } q�| | j � f } n | | j | | � f } | S( s� Create a figure with a set of subplots already made. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Keyword arguments: *nrows* : int Number of rows of the subplot grid. Defaults to 1. *ncols* : int Number of columns of the subplot grid. Defaults to 1. *sharex* : string or bool If *True*, the X axis will be shared amongst all subplots. If *True* and you have multiple rows, the x tick labels on all but the last row of plots will have visible set to *False* If a string must be one of "row", "col", "all", or "none". "all" has the same effect as *True*, "none" has the same effect as *False*. If "row", each subplot row will share a X axis. If "col", each subplot column will share a X axis and the x tick labels on all but the last row will have visible set to *False*. *sharey* : string or bool If *True*, the Y axis will be shared amongst all subplots. If *True* and you have multiple columns, the y tick labels on all but the first column of plots will have visible set to *False* If a string must be one of "row", "col", "all", or "none". "all" has the same effect as *True*, "none" has the same effect as *False*. If "row", each subplot row will share a Y axis. If "col", each subplot column will share a Y axis and the y tick labels on all but the last row will have visible set to *False*. *squeeze* : bool If *True*, extra dimensions are squeezed out from the returned axis object: - if only one subplot is constructed (nrows=ncols=1), the resulting single Axis object is returned as a scalar. - for Nx1 or 1xN subplots, the returned object is a 1-d numpy object array of Axis objects are returned as numpy 1-d arrays. - 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 axis object is always a 2-d array contaning Axis instances, even if it ends up being 1x1. *subplot_kw* : dict Dict with keywords passed to the :meth:`~matplotlib.figure.Figure.add_subplot` call used to create each subplots. *fig_kw* : dict Dict with keywords passed to the :func:`figure` call. Note that all keywords not recognized above will be automatically included here. Returns: fig, ax : tuple - *fig* is the :class:`matplotlib.figure.Figure` object - *ax* can be either a single axis object or an array of axis objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above. Examples:: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) # Just a figure and one subplot f, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') # Two subplots, 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) # Four polar axes plt.subplots(2, 2, subplot_kw=dict(polar=True)) # 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 a X and Y axis with all subplots plt.subplots(2, 2, sharex='all', sharey='all') # same as plt.subplots(2, 2, sharex=True, sharey=True) Rf t nonet rowt cols\ sharex argument to subplots() was an integer. Did you intend to use subplot() (without 's')?s sharex [%s] must be one of %ss sharey [%s] must be one of %st dtypei i Nt sharext shareyi����( R� s all( R� s all( i i ( R� R� R� R� Rg R� Ra R� t npt emptyt objectR� t mgridt flattent aranget zerost ranget reshapet flatt get_xticklabelst set_visibleRl t xaxist offsetTextt get_yticklabelst yaxist squeeze( t nrowst ncolsR� R� R t subplot_kwt fig_kwt share_valuesR� t nplotst axarrt ax0t rt ct lookupt sxsRR t iR� t labelR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt subplots sv k % $&& ( t GridSpecc K s� t � } | \ } } t | | � j | d | d | �} | j | | � } | j } g } xE | j D]: } | | k r| qd n | j | j � rd | j | � qd qd Wx | D] } t | � q� Wt � | S( s� Create a subplot in a grid. The grid is specified by *shape*, at location of *loc*, spanning *rowspan*, *colspan* cells in each direction. The index for loc is 0-based. :: subplot2grid(shape, loc, rowspan=1, colspan=1) is identical to :: gridspec=GridSpec(shape[0], shape[2]) subplotspec=gridspec.new_subplotspec(loc, rowspan, colspan) subplot(subplotspec) t rowspant colspan( Rb R t new_subplotspecR� R� R� R� R� R� Rq ( t shapeR� R R R� R� t s1t s2t subplotspecR� R� R� R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt subplot2grid� s" c C s/ | d k r t � } n | j � } t � | S( s@ Make a second axes that shares the *x*-axis. The new axes will overlay *ax* (or the current axes if *ax* is *None*). The ticks for *ax2* will be placed on the right, and the *ax2* instance is returned. .. seealso:: :file:`examples/api_examples/two_scales.py` For an example N( Ra R� t twinxRq ( R� t ax1( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR s c C s/ | d k r t � } n | j � } t � | S( s� Make a second axes that shares the *y*-axis. The new axis will overlay *ax* (or the current axes if *ax* is *None*). The ticks for *ax2* will be placed on the top, and the *ax2* instance is returned. N( Ra R� t twinyRq ( R� R! ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR" # s c O s$ t � } | j | | � t � d S( s� Tune the subplot layout. call signature:: subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) The parameter meanings (and suggested defaults) are:: left = 0.125 # the left side of the subplots of the figure right = 0.9 # the right side of the subplots of the figure bottom = 0.1 # the bottom of the subplots of the figure top = 0.9 # the top of the subplots of the figure wspace = 0.2 # the amount of width reserved for blank space between subplots hspace = 0.2 # the amount of height reserved for white space between subplots The actual defaults are controlled by the rc file N( Rb t subplots_adjustRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR# 2 s c C s� t d } d t d <| d k r8 t � } | j j } n9 x6 t j j D] } | j j | k rE PqE qE Wt d � � t d d � } | j d d � t | | � } | t d <t j j | � | S( sy Launch a subplot tool window for a figure. A :class:`matplotlib.widgets.SubplotTool` instance is returned. t toolbarRa s$ Could not find manager for targetfigR� i i t topg�������?N( i i ( R Ra R� R R� R R} t _activeQuet RuntimeErrorR# R( R� ( t targetfigt tbart managert toolfigR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt subplot_toolK s gH�z�G�?c C s6 t � } | j d | d | d | d | � t � d S( s< Automatically adjust subplot parameters to give specified padding. Parameters: pad : float padding between the figure edge and the edges of subplots, as a fraction of the font-size. h_pad, w_pad : float padding (height/width) between edges of adjacent subplots. Defaults to `pad_inches`. rect : if rect is given, it is interpreted as a rectangle (left, bottom, right, top) in the normalized figure coordinate that the whole subplots area (including labels) will fit into. Default is (0, 0, 1, 1). t padt h_padt w_padR� N( Rb t tight_layoutRq ( R- R. R/ R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR0 e s "c C sI t � } t | � } | d k r1 | j � } n | j | � t � d S( s� Turn the axes box on or off. *on* may be a boolean or a string, 'on' or 'off'. If *on* is *None*, toggle state. N( R� R Ra t get_frame_ont set_frame_onRq ( t onR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt box| s c O s# t � j | | | � } t � | S( s\ Set the title of the current axis. Default font override is:: override = {'fontsize': 'medium', 'verticalalignment': 'baseline', 'horizontalalignment': 'center'} .. seealso:: :func:`~matplotlib.pyplot.text` for information on how override and the optional args work. ( R� t set_titleRq ( R� Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt title� s c O s& t � } | j | | � } t � | S( s� Set or get the axis properties.:: >>> axis() returns the current axes limits ``[xmin, xmax, ymin, ymax]``.:: >>> axis(v) sets the min and max of the x and y axes, with ``v = [xmin, xmax, ymin, ymax]``.:: >>> axis('off') turns off the axis lines and labels.:: >>> axis('equal') changes limits of *x* or *y* axis so that equal increments of *x* and *y* have the same length; a circle is circular.:: >>> axis('scaled') achieves the same result by changing the dimensions of the plot box instead of the axis data limits.:: >>> axis('tight') changes *x* and *y* axis limits such that all data is shown. If all data is already shown, it will move it to the center of the figure without modifying (*xmax* - *xmin*) or (*ymax* - *ymin*). Note this is slightly different than in MATLAB.:: >>> axis('image') is 'scaled' with the axis limits equal to the data limits.:: >>> axis('auto') and:: >>> axis('normal') are deprecated. They restore default behavior; axis limits are automatically scaled to make the data fit comfortably within the plot box. if ``len(*v)==0``, you can pass in *xmin*, *xmax*, *ymin*, *ymax* as kwargs selectively to alter just those limits without changing the others. The xmin, xmax, ymin, ymax tuple is returned .. seealso:: :func:`xlim`, :func:`ylim` For setting the x- and y-limits individually. ( R� t axisRq ( t vR� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR7 � s : c O s# t � j | | | � } t � | S( sq Set the *x* axis label of the current axis. Default override is:: override = { 'fontsize' : 'small', 'verticalalignment' : 'top', 'horizontalalignment' : 'center' } .. seealso:: :func:`~matplotlib.pyplot.text` For information on how override and the optional args work ( R� t set_xlabelRq ( R� Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt xlabel� s c O s# t � j | | | � } t � | S( s� Set the *y* axis label of the current axis. Defaults override is:: override = { 'fontsize' : 'small', 'verticalalignment' : 'center', 'horizontalalignment' : 'right', 'rotation'='vertical' : } .. seealso:: :func:`~matplotlib.pyplot.text` For information on how override and the optional args work. ( R� t set_ylabelRq ( R� Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt ylabel� s c O s> t � } | r! | r! | j � S| j | | � } t � | S( s) Get or set the *x* limits of the current axes. :: xmin, xmax = xlim() # return the current xlim xlim( (xmin, xmax) ) # set the xlim to xmin, xmax xlim( xmin, xmax ) # set the xlim to xmin, xmax If you do not specify args, you can pass the xmin and xmax as kwargs, eg.:: xlim(xmax=3) # adjust the max leaving min unchanged xlim(xmin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the x-axis. The new axis limits are returned as a length 2 tuple. ( R� t get_xlimt set_xlimRq ( Ru R� R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt xlim s c O s> t � } | r! | r! | j � S| j | | � } t � | S( s, Get or set the *y*-limits of the current axes. :: ymin, ymax = ylim() # return the current ylim ylim( (ymin, ymax) ) # set the ylim to ymin, ymax ylim( ymin, ymax ) # set the ylim to ymin, ymax If you do not specify args, you can pass the *ymin* and *ymax* as kwargs, eg.:: ylim(ymax=3) # adjust the max leaving min unchanged ylim(ymin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the y-axis. The new axis limits are returned as a length 2 tuple. ( R� t get_ylimt set_ylimRq ( Ru R� R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt ylim- s c O s$ t � } | j | | � t � d S( s� Set the scaling of the *x*-axis. call signature:: xscale(scale, **kwargs) The available scales are: %(scale)s Different keywords may be accepted, depending on the scale: %(scale_docs)s N( R� t set_xscaleRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt xscaleI s c O s$ t � } | j | | � t � d S( s� Set the scaling of the *y*-axis. call signature:: yscale(scale, **kwargs) The available scales are: %(scale)s Different keywords may be accepted, depending on the scale: %(scale_docs)s N( R� t set_yscaleRq ( Ru R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt yscale\ s c O s� t � } t | � d k r6 | j � } | j � } n~ t | � d k rj | j | d � } | j � } nJ t | � d k r� | j | d � } | j | d | � } n t d � � t | � r� x | D] } | j | � q� Wn t � | t d | � f S( s^ Get or set the *x*-limits of the current tick locations and labels. :: # return locs, labels where locs is an array of tick locations and # labels is an array of tick labels. locs, labels = xticks() # set the locations of the xticks xticks( arange(6) ) # set the locations and labels of the xticks xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') ) The keyword args, if any, are :class:`~matplotlib.text.Text` properties. For example, to rotate long labels:: xticks( arange(12), calendar.month_name[1:13], rotation=17 ) i i i s% Illegal number of arguments to xtickss Text xticklabel( R� R� t get_xticksR t set_xtickst set_xticklabelsR� t updateRq R ( Ru R� R� t locsR� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt xtickso s c O s� t � } t | � d k r6 | j � } | j � } n~ t | � d k rj | j | d � } | j � } nJ t | � d k r� | j | d � } | j | d | � } n t d � � t | � r� x | D] } | j | � q� Wn t � | t d | � f S( s^ Get or set the *y*-limits of the current tick locations and labels. :: # return locs, labels where locs is an array of tick locations and # labels is an array of tick labels. locs, labels = yticks() # set the locations of the yticks yticks( arange(6) ) # set the locations and labels of the yticks yticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') ) The keyword args, if any, are :class:`~matplotlib.text.Text` properties. For example, to rotate long labels:: yticks( arange(12), calendar.month_name[1:13], rotation=45 ) i i i s% Illegal number of arguments to ytickss Text yticklabel( R� R� t get_yticksR t set_ytickst set_yticklabelsR� RJ Rq R ( Ru R� R� RK R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt yticks� s" c C s t � j � t � d S( s� Display minor ticks on the current plot. Displaying minor ticks reduces performance; turn them off using minorticks_off() if drawing speed is a problem. N( R� t minorticks_onRq ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRQ � s c C s t � j � t � d S( s3 Remove minor ticks from the current plot. N( R� t minorticks_offRq ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRR � s c O s� t � } t | t � s' t d � � n t | � d k rZ | j j � } | j j � } n | j | | � \ } } t � t d | � t d | � f S( s� Get or set the radial gridlines on a polar plot. call signatures:: lines, labels = rgrids() lines, labels = rgrids(radii, labels=None, angle=22.5, **kwargs) When called with no arguments, :func:`rgrid` simply returns the tuple (*lines*, *labels*), where *lines* is an array of radial gridlines (:class:`~matplotlib.lines.Line2D` instances) and *labels* is an array of tick labels (:class:`~matplotlib.text.Text` instances). When called with arguments, the labels will appear at the specified radial distances and angles. *labels*, if not *None*, is a len(*radii*) list of strings of the labels to use at each angle. If *labels* is None, the rformatter will be used Examples:: # set the locations of the radial gridlines and labels lines, labels = rgrids( (0.25, 0.5, 1.0) ) # set the locations and labels of the radial gridlines and labels lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' ) s" rgrids only defined for polar axesi s Line2D rgridlines Text rgridlabel( R� R� R R' R� R t get_gridlinest get_ticklabelst set_rgridsRq R ( Ru R� R� t linesR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt rgrids� s c O s� t � } t | t � s' t d � � n t | � d k rZ | j j � } | j j � } n | j | | � \ } } t � t d | � t d | � f S( s Get or set the theta locations of the gridlines in a polar plot. If no arguments are passed, return a tuple (*lines*, *labels*) where *lines* is an array of radial gridlines (:class:`~matplotlib.lines.Line2D` instances) and *labels* is an array of tick labels (:class:`~matplotlib.text.Text` instances):: lines, labels = thetagrids() Otherwise the syntax is:: lines, labels = thetagrids(angles, labels=None, fmt='%d', frac = 1.1) set the angles at which to place the theta grids (these gridlines are equal along the theta dimension). *angles* is in degrees. *labels*, if not *None*, is a len(angles) list of strings of the labels to use at each angle. If *labels* is *None*, the labels will be ``fmt%angle``. *frac* is the fraction of the polar axes radius at which to place the label (1 is the edge). Eg. 1.05 is outside the axes and 0.95 is inside the axes. Return value is a list of tuples (*lines*, *labels*): - *lines* are :class:`~matplotlib.lines.Line2D` instances - *labels* are :class:`~matplotlib.text.Text` instances. Note that on input, the *labels* argument is a list of strings, and on output it is a list of :class:`~matplotlib.text.Text` instances. Examples:: # set the locations of the radial gridlines and labels lines, labels = thetagrids( range(45,360,90) ) # set the locations and labels of the radial gridlines and labels lines, labels = thetagrids( range(45,360,90), ('NE', 'NW', 'SW','SE') ) s" rgrids only defined for polar axesi s Line2D thetagridlines Text thetagridlabel( R� R� R R' R� R t get_ticklinesRT t set_thetagridsRq R ( Ru R� R� RV R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt thetagrids� s / c C s d S( N( ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt plotting? s c C s� d d l } t d d d d d d d d d g � } | t t � � O} | j t � } t � } xr t � j � D]a \ } } | j d � sn | | k r� qn n | j | � rn | j | � | k rn | j | � qn qn Wt | � } | j � | S( s< Get a sorted list of all of the plotting commands. i����Nt colormapst colorsR� R� t get_plot_commandsR� R� R[ R� t _( t inspectt setR\ t getmoduleR^ t globalst itemst startswitht isfunctiont addt listR� ( R` t excludet this_modulet commandst namet obj( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR^ C s $ c C s d S( sm This is a do-nothing function to provide you with help on how matplotlib handles colors. Commands which take color arguments can use several formats to specify the colors. For the basic builtin colors, you can use a single letter ===== ======= Alias Color ===== ======= 'b' blue 'g' green 'r' red 'c' cyan 'm' magenta 'y' yellow 'k' black 'w' white ===== ======= For a greater range of colors, you have two options. You can specify the color using an html hex string, as in:: color = '#eeefff' or you can pass an R,G,B tuple, where each of R,G,B are in the range [0,1]. You can also use any legal html name for a color, for example:: color = 'red' color = 'burlywood' color = 'chartreuse' The example below creates a subplot with a dark slate gray background:: subplot(111, axisbg=(0.1843, 0.3098, 0.3098)) Here is an example that creates a pale turqoise title:: title('Is this the best color?', color='#afeeee') N( ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR] _ s .c C s t t j j � � S( s�' Matplotlib provides a number of colormaps, and others can be added using :func:`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 meant 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 The base colormaps are (with the exception of `spectral`) derived from those of the same name provided with Matlab: ========= ======================================================= 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 hsv cyclic red-yellow-green-cyan-blue-magenta-red, formed by changing the hue component in the HSV color space 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 spectral black-purple-blue-green-yellow-red-white spectrum ========= ======================================================= For the above list only, you can also set the colormap using the corresponding pylab shortcut interface function, similar to Matlab:: imshow(X) hot() jet() The next set of palettes are from the `Yorick scientific visualisation package <http://yorick.sourceforge.net/index.php>`_, an evolution of the GIST package, both by David H. Munro: ============ ======================================================= 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 ============ ======================================================= The following colormaps are based on the `ColorBrewer <http://colorbrewer.org>`_ 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, :class:`ListedColormap` should be used, not :class:`LinearSegmentedColormap`. Different sets of colors are recommended for different numbers of categories. These continuous versions of the qualitative schemes may be removed or converted in the future.) * Accent * Dark2 * Paired * Pastel1 * Pastel2 * Set1 * Set2 * Set3 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 terrain mapmaker's colors, blue-green-yellow-brown-white, originally from IGOR Pro ========= ======================================================= The following colormaps are redundant and may be removed in future versions. It's recommended to use *gray* or *gray_r* 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 <http://www.jwave.vt.edu/%7Erkriz/Projects/create_color_table/color_07.pdf>`_ .. [#] Resembles "BkBlAqGrYeOrReViWh200" from NCAR Command Language. See `Color Table Gallery <http://www.ncl.ucar.edu/Document/Graphics/color_table_gallery.shtml>`_ .. [#] See `Diverging Color Maps for Scientific Visualization <http://www.cs.unm.edu/~kmorel/documents/ColorMaps/>`_ by Kenneth Moreland. .. [#] See `A Color Map for Effective Black-and-White Rendering of Color-Scale Images <http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m>`_ by Carey Rappaport ( t sortedR t cmap_dR� ( ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR\ � s �c C s� d d l } d � } t � } | j d d | j �} g } d } d } x� | D]� } t � | j } d } | d k r� | j | � } | d k r� | j d � j � j d d � } q� n d | } | j | | g � t | t | � � } t | t | � � } qO Wg } d | d d | } | j | � | j d j | d | � | d | � g � � | j | � xB | D]: \ } } | j d j | | | � | | | � g � � qoW| j | � d j | � t _ d S( s� Generates the plotting and docstring. 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First define a mappable such as an image (with imshow) or a contour set (with contourf).t caxR� ( Ra R� R' R� Rb t colorbarRq ( t mappableR� R� Rv R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s !c C s? t � } | d k r$ t d � � n | j | | � t � d S( sp Set the color limits of the current image. To apply clim to all axes images do:: clim(0, 0.5) If either *vmin* or *vmax* is None, the image min/max respectively will be used for color scaling. If you want to set the clim of multiple images, use, for example:: for im in gca().get_images(): im.set_clim(0, 0.05) s. You must first define an image, eg with imshowN( R� Ra R' t set_climRq ( t vmint vmaxR� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt clim� s c C s^ t j | � } t d d | j �t � } | d k rG | j | � n t d � � t � d S( s Set the default colormap. Applies to the current image if any. See help(colormaps) for more information. *cmap* must be a :class:`colors.Colormap` instance, or the name of a registered colormap. See :func:`register_cmap` and :func:`get_cmap`. t imaget cmaps. You must first define an image, eg with imshowN( R R R� Rl R� Ra t set_cmapR' Rq ( R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s t | | � S( N( t _imread( Ru R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR � s c O s t | | � S( N( t _imsave( Ru R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR � s c K s� t j | � } | t k s' | d k r3 t � } n3 t | d t | � �} | j d d d d g � } | j | | � } t | � t � | S( sZ 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. With the exception of *fignum*, keyword arguments are passed to :func:`~matplotlib.pyplot.imshow`. You may set the *origin* kwarg to "lower" if you want the first row in the array to be at the bottom instead of the top. *fignum*: [ None | integer | False ] By default, :func:`matshow` creates a new figure window with automatic numbering. If *fignum* is given as an integer, the created figure will use this figure number. Because of how :func:`matshow` tries to set the figure aspect ratio to be the one of the array, if you provide the number of an already existing figure, strange things may happen. If *fignum* is *False* or 0, a new figure window will **NOT** be created. i R� g333333�?g ףp= �?g�������?( R� t asanyarrayRl R� R� R R� t matshowR� Rq ( t At fignumRv R� R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c O s, t d t � } | j | | � } t � | S( s� Make a polar plot. call signature:: polar(theta, r, **kwargs) Multiple *theta*, *r* arguments are supported, with format strings, as in :func:`~matplotlib.pyplot.plot`. t polar( R� Rm t plotRq ( Ru R� R� R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� s i t #i t ,c s� | r t � } n t � } t | � d k r< t d � � n | d k rT t � } n t j | d | d | d | d | d | �� � f d � } | | d � \ } } g } t | � d k r| j d d d � } | j | d d � } t | | � } | | | � | j | � nBt | � } x3t d | � D]"} | r�| d k ri| j | d d | � } } q�| j | d d | d | �} n$ | d k r�| j d d d � } n | j t � | | | � \ } } | j | � | j | | d � } t | | � } | | | | � | r*| j | � n | j � rF| j | � q1| j d � q1W| ss| j | d d �n | d k r�| j � n t � d S( s� Plot the data in in a file. *cols* is a sequence of column identifiers to plot. An identifier is either an int or a string. If it is an int, it indicates the column number. If it is a string, it indicates the column header. matplotlib will make column headers lower case, replace spaces with underscores, and remove all illegal characters; so ``'Adj Close*'`` will have name ``'adj_close'``. - If len(*cols*) == 1, only that column will be plotted on the *y* axis. - If len(*cols*) > 1, the first element will be an identifier for data for the *x* axis and the remaining elements will be the column indexes for multiple subplots if *subplots* is *True* (the default), or for lines in a single subplot if *subplots* is *False*. *plotfuncs*, if not *None*, is a dictionary mapping identifier to an :class:`~matplotlib.axes.Axes` plotting function as a string. Default is 'plot', other choices are 'semilogy', 'fill', 'bar', etc. You must use the same type of identifier in the *cols* vector as you use in the *plotfuncs* dictionary, eg., integer column numbers in both or column names in both. If *subplots* is *False*, then including any function such as 'semilogy' that changes the axis scaling will set the scaling for all columns. *comments*, *skiprows*, *checkrows*, *delimiter*, and *names* are all passed on to :func:`matplotlib.pylab.csv2rec` to load the data into a record array. If *newfig* is *True*, the plot always will be made in a new figure; if *False*, it will be made in the current figure if one exists, else in a new figure. kwargs are passed on to plotting functions. Example usage:: # plot the 2nd and 4th column against the 1st in two subplots plotfile(fname, (0,1,3)) # plot using column names; specify an alternate plot type for volume plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'}) Note: plotfile is intended as a convenience for quickly plotting data from flat files; it is not intended as an alternative interface to general plotting with pyplot or matplotlib. i s% must have at least one column of datat commentst skiprowst checkrowst delimitert namesc sZ t | � r | � | f St | � rJ � j j t | � } | � | f St d � � d S( s. return the name and column data for identifiers& identifier must be a string or integerN( R R R� R� R� R� ( t identifierRl ( R ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyt getname_valt s i R� R� R� R� t bestt dateN( R� Rb R� R� Ra t dictR t csv2recR� R t getattrR; R� t gridRm R� t is_last_rowR9 R� t autofmt_xdateRq ( t fnamet colst plotfuncsR� R� R� R� R� R t newfigR� R� R� t xnamet xt ynamelistR! 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See help(colormaps) for more information R� R� t copperN( R� R� Ra R� R Rz Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyRz s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( sz set the default colormap to flag and apply to current image if any. See help(colormaps) for more information R� R� t flagN( R� R� Ra R� R R{ Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR{ s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( sz set the default colormap to gray and apply to current image if any. See help(colormaps) for more information R� R� t grayN( R� R� Ra R� R R| Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR| s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( sy set the default colormap to hot and apply to current image if any. 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See help(colormaps) for more information R� R� t pinkN( R� R� Ra R� R R� Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� [ s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( s{ set the default colormap to prism and apply to current image if any. See help(colormaps) for more information R� R� t prismN( R� R� Ra R� R R� Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� j s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( s| set the default colormap to spring and apply to current image if any. See help(colormaps) for more information R� R� t springN( R� R� Ra R� R R� Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� y s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( s| set the default colormap to summer and apply to current image if any. See help(colormaps) for more information R� R� t summerN( R� R� Ra R� R R� Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( s| set the default colormap to winter and apply to current image if any. See help(colormaps) for more information R� R� t winterN( R� R� Ra R� R R� Rq ( R� ( ( s7 /usr/lib64/python2.7/site-packages/matplotlib/pyplot.pyR� � s c C sC t d d d �t � } | d k r8 | j t j � n t � d S( s~ set the default colormap to spectral and apply to current image if any. 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