>>>line,=plt.plot([1,2,3])>>>plt.setp(line,linestyle='--')

>>>plt.setp(line,'linestyle')    linestyle: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}

>>>plt.setp(line)

>>>x=np.arange(0,1,0.01)>>>y1=np.sin(2*np.pi*x)>>>y2=np.sin(4*np.pi*x)>>>lines=plt.plot(x,y1,x,y2)>>>plt.setp(lines,linewidth=2,color='r')

>>>plt.getp(line,'linewidth')    0.5

>>>plt.getp(line)    aa = True    alpha = 1.0    antialiased = True    c = b    clip_on = True    color = b    ... long listing skipped ...

Line setters  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image  alpha: float or None  animated: bool  antialiased or aa: bool  clip_box: `~matplotlib.transforms.BboxBase` or None  clip_on: bool  clip_path: Patch or (Path, Transform) or None  color or c: :mpltype:`color`  dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}  dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}  dashes: sequence of floats (on/off ink in points) or (None, None)  data: (2, N) array or two 1D arrays  drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'  figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`  fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}  gapcolor: :mpltype:`color` or None  gid: str  in_layout: bool  label: object  linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}  linewidth or lw: float  marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`  markeredgecolor or mec: :mpltype:`color`  markeredgewidth or mew: float  markerfacecolor or mfc: :mpltype:`color`  markerfacecoloralt or mfcalt: :mpltype:`color`  markersize or ms: float  markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]  mouseover: bool  path_effects: list of `.AbstractPathEffect`  picker: float or callable[[Artist, Event], tuple[bool, dict]]  pickradius: float  rasterized: bool  sketch_params: (scale: float, length: float, randomness: float)  snap: bool or None  solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}  solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}  transform: `~matplotlib.transforms.Transform`  url: str  visible: bool  xdata: 1D array  ydata: 1D array  zorder: floatLine getters    agg_filter = None    alpha = None    animated = False    antialiased or aa = True    bbox = Bbox(x0=0.0, y0=-1.0, x1=0.99, y1=1.0)    children = []    clip_box = TransformedBbox(     Bbox(x0=0.0, y0=0.0, x1=1.0, ...    clip_on = True    clip_path = None    color or c = r    dash_capstyle = butt    dash_joinstyle = round    data = (array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, ...    drawstyle or ds = default    figure = Figure(640x480)    fillstyle = full    gapcolor = None    gid = None    in_layout = True    label = _child0    linestyle or ls = --    linewidth or lw = 2.0    marker = None    markeredgecolor or mec = r    markeredgewidth or mew = 1.0    markerfacecolor or mfc = r    markerfacecoloralt or mfcalt = none    markersize or ms = 6.0    markevery = None    mouseover = False    path = Path(array([[ 0.00000000e+00,  0.00000000e+00],   ...    path_effects = []    picker = None    pickradius = 5    rasterized = False    sketch_params = None    snap = None    solid_capstyle = projecting    solid_joinstyle = round    tightbbox = Bbox(x0=80.0, y0=52.8, x1=571.04, y1=422.4)    transform = CompositeGenericTransform(     TransformWrapper(  ...    transformed_clip_path_and_affine = (None, None)    url = None    visible = True    window_extent = Bbox(x0=80.0, y0=-316.79999999999995, x1=571.04, y...    xdata = [0.   0.01 0.02 0.03 0.04 0.05]...    xydata = [[0.         0.        ]  [0.01       0.06279052] ...    ydata = [0.         0.06279052 0.12533323 0.18738131 0.248...    zorder = 2Rectangle setters  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image  alpha: float or None  angle: unknown  animated: bool  antialiased or aa: bool or None  bounds: (left, bottom, width, height)  capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}  clip_box: `~matplotlib.transforms.BboxBase` or None  clip_on: bool  clip_path: Patch or (Path, Transform) or None  color: :mpltype:`color`  edgecolor or ec: :mpltype:`color` or None  facecolor or fc: :mpltype:`color` or None  figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`  fill: bool  gid: str  hatch: {'/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}  hatch_linewidth: unknown  hatchcolor: :mpltype:`color` or 'edge' or None  height: unknown  in_layout: bool  joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}  label: object  linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}  linewidth or lw: float or None  mouseover: bool  path_effects: list of `.AbstractPathEffect`  picker: None or bool or float or callable  rasterized: bool  sketch_params: (scale: float, length: float, randomness: float)  snap: bool or None  transform: `~matplotlib.transforms.Transform`  url: str  visible: bool  width: unknown  x: unknown  xy: (float, float)  y: unknown  zorder: floatRectangle getters    agg_filter = None    alpha = None    angle = 0.0    animated = False    antialiased or aa = True    bbox = Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0)    capstyle = butt    center = [0.5 0.5]    children = []    clip_box = None    clip_on = True    clip_path = None    corners = [[0. 0.]  [1. 0.]  [1. 1.]  [0. 1.]]    data_transform = BboxTransformTo(     TransformedBbox(         Bbox...    edgecolor or ec = (0.0, 0.0, 0.0, 0.0)    extents = Bbox(x0=80.0, y0=52.8, x1=576.0, y1=422.4)    facecolor or fc = (1.0, 1.0, 1.0, 1.0)    figure = Figure(640x480)    fill = True    gid = None    hatch = None    hatch_linewidth = 1.0    hatchcolor = (0.0, 0.0, 0.0, 1.0)    height = 1.0    in_layout = True    joinstyle = miter    label =    linestyle or ls = solid    linewidth or lw = 0.0    mouseover = False    patch_transform = CompositeGenericTransform(     BboxTransformTo(   ...    path = Path(array([[0., 0.],        [1., 0.],        [1.,...    path_effects = []    picker = None    rasterized = False    sketch_params = None    snap = None    tightbbox = Bbox(x0=80.0, y0=52.8, x1=576.0, y1=422.4)    transform = CompositeGenericTransform(     CompositeGenericTra...    transformed_clip_path_and_affine = (None, None)    url = None    verts = [[ 80.   52.8]  [576.   52.8]  [576.  422.4]  [ 80...    visible = True    width = 1.0    window_extent = Bbox(x0=80.0, y0=52.8, x1=576.0, y1=422.4)    x = 0.0    xy = (0.0, 0.0)    y = 0.0    zorder = 1Text setters  agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image  alpha: float or None  animated: bool  antialiased: bool  backgroundcolor: :mpltype:`color`  bbox: dict with properties for `.FancyBboxPatch` or None  clip_box: `~matplotlib.transforms.BboxBase` or None  clip_on: bool  clip_path: Patch or (Path, Transform) or None  color or c: :mpltype:`color`  figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`  fontfamily or family or fontname: {FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}  fontproperties or font or font_properties: `.font_manager.FontProperties` or `str` or `pathlib.Path`  fontsize or size: float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}  fontstretch or stretch: {a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}  fontstyle or style: {'normal', 'italic', 'oblique'}  fontvariant or variant: {'normal', 'small-caps'}  fontweight or weight: {a numeric value in range 0-1000, 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'}  gid: str  horizontalalignment or ha: {'left', 'center', 'right'}  in_layout: bool  label: object  linespacing: float (multiple of font size)  math_fontfamily: str  mouseover: bool  multialignment or ma: {'left', 'right', 'center'}  parse_math: bool  path_effects: list of `.AbstractPathEffect`  picker: None or bool or float or callable  position: (float, float)  rasterized: bool  rotation: float or {'vertical', 'horizontal'}  rotation_mode: {None, 'default', 'anchor', 'xtick', 'ytick'}  sketch_params: (scale: float, length: float, randomness: float)  snap: bool or None  text: object  transform: `~matplotlib.transforms.Transform`  transform_rotates_text: bool  url: str  usetex: bool, default: :rc:`text.usetex`  verticalalignment or va: {'baseline', 'bottom', 'center', 'center_baseline', 'top'}  visible: bool  wrap: bool  x: float  y: float  zorder: floatText getters    agg_filter = None    alpha = None    animated = False    antialiased = True    bbox_patch = None    children = []    clip_box = None    clip_on = True    clip_path = None    color or c = black    figure = Figure(640x480)    fontfamily or family or fontname = ['sans-serif']    fontname or name = DejaVu Sans    fontproperties or font or font_properties = sans\-serif:style=normal:variant=normal:weight=nor...    fontsize or size = 12.0    fontstyle or style = normal    fontvariant or variant = normal    fontweight or weight = normal    gid = None    horizontalalignment or ha = center    in_layout = True    label =    math_fontfamily = dejavusans    mouseover = False    parse_math = True    path_effects = []    picker = None    position = (0.5, 1.0)    rasterized = False    rotation = 0.0    rotation_mode = default    sketch_params = None    snap = None    stretch = normal    text = Hi mom    tightbbox = Bbox(x0=295.5, y0=426.7333333333333, x1=360.5, y1=...    transform = CompositeGenericTransform(     BboxTransformTo(   ...    transform_rotates_text = False    transformed_clip_path_and_affine = (None, None)    unitless_position = (0.5, 1.0)    url = None    usetex = False    verticalalignment or va = baseline    visible = True    window_extent = Bbox(x0=295.5, y0=426.7333333333333, x1=360.5, y1=...    wrap = False    zorder = 3

importmatplotlib.pyplotaspltimportnumpyasnpx=np.arange(0,1.0,0.01)y1=np.sin(2*np.pi*x)y2=np.sin(4*np.pi*x)lines=plt.plot(x,y1,x,y2)l1,l2=linesplt.setp(lines,linestyle='--')# set both to dashedplt.setp(l1,linewidth=2,color='r')# line1 is thick and redplt.setp(l2,linewidth=1,color='g')# line2 is thinner and greenprint('Line setters')plt.setp(l1)print('Line getters')plt.getp(l1)print('Rectangle setters')plt.setp(plt.gca().patch)print('Rectangle getters')plt.getp(plt.gca().patch)t=plt.title('Hi mom')print('Text setters')plt.setp(t)print('Text getters')plt.getp(t)plt.show()

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