barbs_doc='\nPlot a 2D field of barbs.\n\nCall signature::\n\n barbs([X, Y], U, V, [C], **kw)\n\nWhere *X*, *Y* define the barb locations, *U*, *V* define the barb\ndirections, and *C* optionally sets the color.\n\nAll arguments may be 1D or 2D. *U*, *V*, *C* may be masked arrays, but masked\n*X*, *Y* are not supported at present.\n\nBarbs are traditionally used in meteorology as a way to plot the speed\nand direction of wind observations, but can technically be used to\nplot any two dimensional vector quantity. As opposed to arrows, which\ngive vector magnitude by the length of the arrow, the barbs give more\nquantitative information about the vector magnitude by putting slanted\nlines or a triangle for various increments in magnitude, as show\nschematically below::\n\n : /\\ \\\n : / \\ \\\n : / \\ \\ \\\n : / \\ \\ \\\n : ------------------------------\n\nThe largest increment is given by a triangle (or "flag"). After those\ncome full lines (barbs). The smallest increment is a half line. There\nis only, of course, ever at most 1 half line. If the magnitude is\nsmall and only needs a single half-line and no full lines or\ntriangles, the half-line is offset from the end of the barb so that it\ncan be easily distinguished from barbs with a single full line. The\nmagnitude for the barb shown above would nominally be 65, using the\nstandard increments of 50, 10, and 5.\n\nSee also https://en.wikipedia.org/wiki/Wind_barb.\n\nParameters\n----------\nX, Y : 1D or 2D array-like, optional\n The x and y coordinates of the barb locations. See *pivot* for how the\n barbs are drawn to the x, y positions.\n\n If not given, they will be generated as a uniform integer meshgrid based\n on the dimensions of *U* and *V*.\n\n If *X* and *Y* are 1D but *U*, *V* are 2D, *X*, *Y* are expanded to 2D\n using ``X, Y = np.meshgrid(X, Y)``. In this case ``len(X)`` and ``len(Y)``\n must match the column and row dimensions of *U* and *V*.\n\nU, V : 1D or 2D array-like\n The x and y components of the barb shaft.\n\nC : 1D or 2D array-like, optional\n Numeric data that defines the barb colors by colormapping via *norm* and\n *cmap*.\n\n This does not support explicit colors. If you want to set colors directly,\n use *barbcolor* instead.\n\nlength : float, default: 7\n Length of the barb in points; the other parts of the barb\n are scaled against this.\n\npivot : {\'tip\', \'middle\'} or float, default: \'tip\'\n The part of the arrow that is anchored to the *X*, *Y* grid. The barb\n rotates about this point. This can also be a number, which shifts the\n start of the barb that many points away from grid point.\n\nbarbcolor : color or color sequence\n The color of all parts of the barb except for the flags. This parameter\n is analogous to the *edgecolor* parameter for polygons, which can be used\n instead. However this parameter will override facecolor.\n\nflagcolor : color or color sequence\n The color of any flags on the barb. This parameter is analogous to the\n *facecolor* parameter for polygons, which can be used instead. However,\n this parameter will override facecolor. If this is not set (and *C* has\n not either) then *flagcolor* will be set to match *barbcolor* so that the\n barb has a uniform color. If *C* has been set, *flagcolor* has no effect.\n\nsizes : dict, optional\n A dictionary of coefficients specifying the ratio of a given\n feature to the length of the barb. Only those values one wishes to\n override need to be included. These features include:\n\n - \'spacing\' - space between features (flags, full/half barbs)\n - \'height\' - height (distance from shaft to top) of a flag or full barb\n - \'width\' - width of a flag, twice the width of a full barb\n - \'emptybarb\' - radius of the circle used for low magnitudes\n\nfill_empty : bool, default: False\n Whether the empty barbs (circles) that are drawn should be filled with\n the flag color. If they are not filled, the center is transparent.\n\nrounding : bool, default: True\n Whether the vector magnitude should be rounded when allocating barb\n components. If True, the magnitude is rounded to the nearest multiple\n of the half-barb increment. If False, the magnitude is simply truncated\n to the next lowest multiple.\n\nbarb_increments : dict, optional\n A dictionary of increments specifying values to associate with\n different parts of the barb. Only those values one wishes to\n override need to be included.\n\n - \'half\' - half barbs (Default is 5)\n - \'full\' - full barbs (Default is 10)\n - \'flag\' - flags (default is 50)\n\nflip_barb : bool or array-like of bool, default: False\n Whether the lines and flags should point opposite to normal.\n Normal behavior is for the barbs and lines to point right (comes from wind\n barbs having these features point towards low pressure in the Northern\n Hemisphere).\n\n A single value is applied to all barbs. Individual barbs can be flipped by\n passing a bool array of the same size as *U* and *V*.\n\nReturns\n-------\nbarbs : `~matplotlib.quiver.Barbs`\n\nOther Parameters\n----------------\ndata : indexable object, optional\n DATA_PARAMETER_PLACEHOLDER\n\n**kwargs\n The barbs can further be customized using `.PolyCollection` keyword\n arguments:\n\n \n .. table::\n :class: property-table\n\n ================================================================================================= =====================================================================================================\n Property Description \n ================================================================================================= =====================================================================================================\n :meth:`agg_filter <matplotlib.artist.Artist.set_agg_filter>` a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array\n :meth:`alpha <matplotlib.collections.Collection.set_alpha>` array-like or scalar or None \n :meth:`animated <matplotlib.artist.Artist.set_animated>` bool \n :meth:`antialiased <matplotlib.collections.Collection.set_antialiased>` or aa or antialiaseds bool or list of bools \n :meth:`array <matplotlib.cm.ScalarMappable.set_array>` array-like or None \n :meth:`capstyle <matplotlib.collections.Collection.set_capstyle>` `.CapStyle` or {\'butt\', \'projecting\', \'round\'} \n :meth:`clim <matplotlib.cm.ScalarMappable.set_clim>` (vmin: float, vmax: float) \n :meth:`clip_box <matplotlib.artist.Artist.set_clip_box>` `.Bbox` \n :meth:`clip_on <matplotlib.artist.Artist.set_clip_on>` bool \n :meth:`clip_path <matplotlib.artist.Artist.set_clip_path>` Patch or (Path, Transform) or None \n :meth:`cmap <matplotlib.cm.ScalarMappable.set_cmap>` `.Colormap` or str or None \n :meth:`color <matplotlib.collections.Collection.set_color>` color or list of rgba tuples \n :meth:`edgecolor <matplotlib.collections.Collection.set_edgecolor>` or ec or edgecolors color or list of colors or \'face\' \n :meth:`facecolor <matplotlib.collections.Collection.set_facecolor>` or facecolors or fc color or list of colors \n :meth:`figure <matplotlib.artist.Artist.set_figure>` `.Figure` \n :meth:`gid <matplotlib.artist.Artist.set_gid>` str \n :meth:`hatch <matplotlib.collections.Collection.set_hatch>` {\'/\', \'\\\\\', \'|\', \'-\', \'+\', \'x\', \'o\', \'O\', \'.\', \'*\'} \n :meth:`in_layout <matplotlib.artist.Artist.set_in_layout>` bool \n :meth:`joinstyle <matplotlib.collections.Collection.set_joinstyle>` `.JoinStyle` or {\'miter\', \'round\', \'bevel\'} \n :meth:`label <matplotlib.artist.Artist.set_label>` object \n :meth:`linestyle <matplotlib.collections.Collection.set_linestyle>` or dashes or linestyles or ls str or tuple or list thereof \n :meth:`linewidth <matplotlib.collections.Collection.set_linewidth>` or linewidths or lw float or list of floats \n :meth:`norm <matplotlib.cm.ScalarMappable.set_norm>` `.Normalize` or None \n :meth:`offset_transform <matplotlib.collections.Collection.set_offset_transform>` `.Transform` \n :meth:`offsets <matplotlib.collections.Collection.set_offsets>` (N, 2) or (2,) array-like \n :meth:`path_effects <matplotlib.artist.Artist.set_path_effects>` `.AbstractPathEffect` \n :meth:`paths <matplotlib.collections.PolyCollection.set_verts>` list of array-like \n :meth:`picker <matplotlib.artist.Artist.set_picker>` None or bool or float or callable \n :meth:`pickradius <matplotlib.collections.Collection.set_pickradius>` float \n :meth:`rasterized <matplotlib.artist.Artist.set_rasterized>` bool \n :meth:`sizes <matplotlib.collections._CollectionWithSizes.set_sizes>` ndarray or None \n :meth:`sketch_params <matplotlib.artist.Artist.set_sketch_params>` (scale: float, length: float, randomness: float) \n :meth:`snap <matplotlib.artist.Artist.set_snap>` bool or None \n :meth:`transform <matplotlib.artist.Artist.set_transform>` `.Transform` \n :meth:`url <matplotlib.artist.Artist.set_url>` str \n :meth:`urls <matplotlib.collections.Collection.set_urls>` list of str or None \n :meth:`verts <matplotlib.collections.PolyCollection.set_verts>` list of array-like \n :meth:`verts_and_codes <matplotlib.collections.PolyCollection.set_verts_and_codes>` unknown \n :meth:`visible <matplotlib.artist.Artist.set_visible>` bool \n :meth:`zorder <matplotlib.artist.Artist.set_zorder>` float \n ================================================================================================= =====================================================================================================\n\n'