Axes transdata4/19/2023 ![]() (scale: float, length: float, randomness: float)Įxamples using mpl_toolkits.axes_grid1.anchored_artists. set ( *, agg_filter=, alpha=, animated=, bbox_to_anchor=, child=, clip_box=, clip_on=, clip_path=, gid=, height=, in_layout=, label=, offset=, path_effects=, picker=, rasterized=, sketch_params=, snap=, transform=, url=, visible=, width=, zorder= ) Ī filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array txt_label Ĭontainer for the label of the size bar. > bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5,Īttributes size_bar Ĭontainer for the size bar. > fontprops = fm.FontProperties(size=14, family='monospace') Using all the optional parameters > import matplotlib.font_manager as fm > bar = AnchoredSizeBar(ax.transData, 3, '3 data units', 4) > from mpl_toolkits.axes_grid1.anchored_artists import ( Examples > import matplotlib.pyplot as plt Using both prop and fontproperties is not supported. If prop is passed as a keyword argument, but fontproperties is not, then prop is be assumed to be the intended fontproperties. ![]() Keyword arguments forwarded to AnchoredOffsetbox. Defaults to True if size_vertical is greater than zero and False otherwise. ![]() If True and if size_vertical is nonzero, the size bar will be filled in with the color specified by the size bar. fontproperties matplotlib.font_manager.FontProperties, optionalįont properties for the label text. If True, the label will be over the size bar. color str, default: 'black'Ĭolor for the size bar and label. Vertical length of the size bar, given in coordinates of transform. If True, draw a box around the horizontal bar and label. Separation between the label and the size bar, in points. borderpad float, default: 0.1īorder padding, in fraction of the font size. Padding around the label and size bar, in fraction of the font size. ![]() See the parameter loc of Legend for details. For backward compatibility, numeric values are accepted as well. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. Horizontal length of the size bar, given in coordinates of transform. The transformation object for the coordinate system in use, i.e.,. AnchoredSizeBar ( transform, size, label, loc, pad = 0.1, borderpad = 0.1, sep = 2, frameon = True, size_vertical = 0, color = 'black', label_top = False, fontproperties = None, fill_bar = None, ** kwargs ) īases: ĭraw a horizontal scale bar with a center-aligned label underneath. You might often want a text bubble in a fixed location for example, on the upper left of the axes pane and have that location remain fixed when you pan or zoom.Mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar class mpl_toolkits.axes_grid1.anchored_artists. class (transform, loc, pad0.4, borderpad0.5, propNone, frameonTrue, kwargs) source Bases: An anchored container with transformed coordinates. The axes coordinate system is extremely useful when placing text in your axes. The default transformation for ax.text is ax.transData and the default transformation for fig.text is fig.transFigure. These transformations can be used for any kind of Matplotlib objects. For example, if the above test is to be placed in the centre of axes coordinate system, execute the following line of code −Īxes.text(0.5, 0.5, "middle of graph", transform=ansAxes) Using other transformation objects, placement can be controlled. The text is placed at the theoretical position of a data point (x,y). (0,0) is the bottom left and (width, height) is the top right of display in pixels.Īlternatively, the(()) may be used instead of None. This is the pixel coordinate system of the display. (0,0) is bottom left and (1,1) is top right of the figure (0,0) is bottom left and (1,1) is top right of the axes. The systems are described in brief in the table given below − Coordinate The matplotlib package is built on top of a transformation framework to easily move between coordinate systems.
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