> attendees to learn about information security's most important issues through 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. > world's best and brightest in the field, creating opportunities for Conference 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. > Throughout its 18-year history, RSA Conference consistently attracts the
> If I comment the line : _xscale('log'), it works fine. > (self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW) > self.canvas = FigureCanvas(self, -1, self.figure) > self.SetBackgroundColour(wx.NamedColor("WHITE")) > from _wxagg import FigureCanvasWxAgg as > TypeError: tuple indices must be integers, not tuple > File "E:\Python26\lib\site-packages\matplotlib\transforms.py", line > When I try to use ansform on a log plot, an error occurs : I've attached a fixed version of your script that uses Numpy arrays
Returns a numpy array of shape (N x :attr:`output_dims`). Performs the transformation on the given array of values.Īccepts a numpy array of shape (N x :attr:`input_dims`) and
Axes transdata code#
Unfortunately, the transforms code is so low-level and core to matplotlib that any checking or coercing of the types passed in makes a significant impact on interactive performance, so I'm reluctant to add that. You "got lucky" with duck typing in the non-log case, but there is an assumption in the transformation code that it can use Numpy array functionality on whatever is passed in. The `transform` method requires that its argument is a numpy array. If I comment the line : _xscale('log'), it works fine. (self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW) Self.canvas = FigureCanvas(self, -1, self.figure) Self.SetBackgroundColour(wx.NamedColor("WHITE")) 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. TypeError: tuple indices must be integers, not tupleįrom _wxagg import FigureCanvasWxAgg as As you can see the on the transAxes output lines, x1.0 is pixel 1800. ax_val = ax_main.inset_axes((x_center,y_center,width,height), transform=ax_main.When I try to use ansform on a log plot, an error occurs :įile "E:\Python26\lib\site-packages\matplotlib\transforms.py", line It's still noted to be "experimental" but should work fine. To get the transform argument to offsetcopy, we need to make the axes first the subplot function above is one way to do this.
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. 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. So best don't specify the size in inches at all. Axis (axes, pickradius15) ¶ Public attributes. 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).Horizontal length of the size bar, given in coordinates of transform.
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 transformation object for the coordinate system in use, i.e.,. 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.
0 kommentar(er)
