The `transform` method requires that its argument is a numpy array. 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.
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. The docstring does say this:
"""
Performs the transformation on the given array of values.
Accepts a numpy array of shape (N x :attr:`input_dims`) and
returns a numpy array of shape (N x :attr:`output_dims`).
"""
I've attached a fixed version of your script that uses Numpy arrays
rather than tuples for the points.
Mike
Cédrick FAURY wrote:
Hello,
When I try to use transData.transform on a log plot, an error occurs :
...
File "E:\Python26\lib\site-packages\matplotlib\transforms.py", line
1895, in transform
self._a.transform(points))
File "E:\Python26\lib\site-packages\matplotlib\transforms.py", line
1723, in transform
x_points = x.transform(points[:, 0])
TypeError: tuple indices must be integers, not tuple
Here is an example :
#!/usr/bin/env python
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
FigureCanvas
from matplotlib.figure import Figure
import wx
class CanvasFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self,None,-1,
'CanvasFrame',size=(550,350))
self.SetBackgroundColour(wx.NamedColor("WHITE"))
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.axes.set_xscale('log')
p1 = (1,1)
p2 = (2,2)
_x1, _y1 = self.axes.transData.transform(p1)
_x2, _y2 = self.axes.transData.transform(p2)
_xy = [[_x1, _y1], [_x2, _y2]]
xy = self.axes.transData.inverted().transform(_xy)
self.axes.plot(xy)
self.canvas = FigureCanvas(self, -1, self.figure)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()
class App(wx.App):
def OnInit(self):
frame = CanvasFrame()
frame.Show(True)
return True
app = App(0)
app.MainLoop()
If I comment the line : self.axes.set_xscale('log'), it works fine.
python 2.6.4
wxpython 2.8.10
mpl 0.99
Thanks by advance for your help.
Cédrick
------------------------------------------------------------------------------
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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
#!/usr/bin/env python
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
import numpy as np
import wx
class CanvasFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self,None,-1,
'CanvasFrame',size=(550,350))
self.SetBackgroundColour(wx.NamedColor("WHITE"))
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.axes.set_xscale('log')
p1 = np.array([(1,1)])
p2 = np.array([(2,2)])
_p1 = self.axes.transData.transform(p1)
_p2 = self.axes.transData.transform(p2)
_xy = np.vstack((_p1, _p2))
xy = self.axes.transData.inverted().transform(_xy)
self.axes.plot(xy)
self.canvas = FigureCanvas(self, -1, self.figure)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()
class App(wx.App):
def OnInit(self):
frame = CanvasFrame()
frame.Show(True)
return True
app = App(0)
app.MainLoop()
------------------------------------------------------------------------------
Throughout its 18-year history, RSA Conference consistently attracts the
world's best and brightest in the field, creating opportunities for Conference
attendees to learn about information security's most important issues through
interactions with peers, luminaries and emerging and established companies.
http://p.sf.net/sfu/rsaconf-dev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
