It is The position (x, y) to place the text at. xytext: This parameter is an optional parameter. xy: This parameter is the point (x, y) to annotate. To display an ellipse in the upper left, with a width of 0.1 and height of 0.4 in data coordinates: > box = AnchoredAuxTransformBox(ax.transData, loc= 'upper left') > el = Ellipse(( 0, 0), width= 0.1, height= 0.4, angle= 30) > box.drawing_area.add_artist(el) > ax.add_artist(box) Attributes:ĭrawing_area Ī container for artists to display. Syntax: Axes.annotate (self, s, xy, args, kwargs) Parameters: This method accept the following parameters that are described below: s: This parameter is the text of the annotation. Matplotlib version matplotlib 3.3.0 python 3.7. Expected: We should have translated back to 18449. However, when passing the transAxes output to transData.inverted ().transform () we get back 10957 - 14610.
On the 'ax' line we also see that the xlim is 18449. Keyword arguments forwarded to AnchoredOffsetbox. As you can see the on the transAxes output lines, x1.0 is pixel 1800. prop matplotlib.font_manager.FontProperties, optionalįont property used as a reference for paddings.
borderpadfloat, default: 0.5īorder padding, in fraction of the font size. Padding around the child objects, in fraction of the font size. x2, y2 (p2) xy x1, y1, x2, y2 xy ().transform(xy) (xy) self.canvas FigureCanvas(self, -1, self.figure) self.sizer wx.BoxSizer(wx. 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'. The transformation object for the coordinate system in use, i.e.,. The dimensions of this artist will scale to contain the artists added. _data = np.Mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox classmpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox( transform, loc, pad=0.4, borderpad=0.5, prop=None, frameon=True, **kwargs) Īn anchored container with transformed coordinates.Īrtists added to the drawing_area are scaled according to the coordinates of the transformation used. import numpy as np import matplotlib.pyplot as plt x np.arange (0, 10, 0.005) y np.exp (-x/2.) np.sin (2np.pix) fig, ax plt.subplots () ax. Return masked_array(a, dtype=dtype, copy=False, keep_mask=True,įile "/home/cliff/.local/lib/python3.8/site-packages/numpy/ma/core.py", line 2829, in _new_ Z = ma.asarray(args, dtype=np.float64)įile "/home/cliff/.local/lib/python3.8/site-packages/numpy/ma/core.py", line 7952, in asarray X, y, z = self._contour_args(args, kwargs)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/contour.py", line 1476, in _contour_args matplotlib / lib / mpltoolkits / axesgrid1 / anchoredartists. Kwargs = self._process_args(*args, **kwargs)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/contour.py", line 1441, in _process_args size : int or float Horizontal length of the size bar, given in coordinates of transform. Return func(ax, *map(sanitize_sequence, args), **kwargs)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/axes/_axes.py", line 6271, in contourfĬontours = mcontour.QuadContourSet(self, *args, **kwargs)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/contour.py", line 812, in _init_ The transformation object for the coordinate system in use, i.e.,. Полная трассировка ошибки: Traceback (most recent call last):įile "/home/cliff/Documents/vsc_projects/tychocam_main/mainApp/cloud_processing/contours.py", line 24, in contour_calcĪx.contourf(im,levels=2, colors=)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/_init_.py", line 1412, in inner
#Axes transdata Patch#
#plt.show() # works perfectly, patch is applied
Patch = patches.Circle((916, 916), radius=900, transform=ax.transData)
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