![]() ![]() Return masked_array(a, dtype=dtype, copy=False, keep_mask=True,įile "/home/cliff/.local/lib/python3.8/site-packages/numpy/ma/core. axes.text (0.5, 0.5, 'middle of graph', ansAxes) These transformations can be used for any kind of Matplotlib objects. 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 Kwargs = self._process_args(*args, **kwargs)įile "/home/cliff/.local/lib/python3.8/site-packages/matplotlib/contour.py", line 1441, in _process_args The coordinate system of the Axes (0, 0) is bottom left of the axes, and (1, 1) is top right of the axes. 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_ ![]() 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 Here is how the ax.transData instance is defined in the basic separable axis Axes class: self. #AXES TRANSDATA PATCH##plt.show() # works perfectly, patch is applied Patch = patches.Circle((916, 916), radius=900, transform=ax.transData) 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. Патч наложен правильно, но как сделать контур я так и не разобрался. 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. It's still noted to be "experimental" but should work fine. #AXES TRANSDATA FREE#However feel free to give feedback in case some information is still missing.Įven more interesting here might be the new option in matplotlib 3.0, to not use the mpl_toolkits.axes_grid1.inset_locator, but the Axes.inset_axes method. 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. , but the four listed above arise in a lot of applications. Of course, you can define more general transformations, e.g. On the 'ax' line we also see that the xlim is 18449. The default transformation for ax.text is ax.transData and the default transformation for fig.text is fig.transFigure. I updated the inset_axes documentation as well as the example a couple of months ago, so hopefully this case should also be well covered. As you can see the on the transAxes output lines, x1.0 is pixel 1800. So best don't specify the size in inches at all. However, much more generally, it seems you want to set the width and height of the inset_axes in data coordinates. or divide by the figure dpi, (ax_main.either set your figure dpi to 72, plt.subplots(dpi=72). #AXES TRANSDATA INSTALL#By default the dpi is set to value from the rc params "figure.dpi" and that is 100 for a fresh matplotlib install and in case you haven't changed your rc params. ![]() The result of this may or may not be inches, depending on whether the figure dpi is 72 or not. transData transforms from data in pixel space. Though I don't know in how far the result is unexpected, the problem might be due to the wrong conversion used. ![]()
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