canopy

The font size setting in Enthough Canopy Mayavi mlab appears to be broken. Neither the command: mlab.axes.label_text_property.font_size = 12 (e.g.) nor the direct menu font size command (advanced settings) works. I have logged a bug report with Enthought, but it looks like a more general Mayavi bug, see Does Mayavi "Font Size" text property work? As you say this is a bug that has to do with the translation between the mayavi layer and the vtk layer. But for now you could use this attribute: >> ax=mlab.axes() >> ax.axes.font_factor 1.5 >> ax.axes.font_factor=2 It only produces a small increase

I have tried to get enthought canopy and follow the procedure. However, when I tried to run ./canopy , it gave this error: Unable to load library icui18n "Cannot load library icui18n: (icui18n: cannot open shared object file: No such file or directory)". I cannot sudo because I am using the university's supercomputing account, no permission to do so. Any advice? You just need a copy of ICU installed on the system you are trying to run canopy on. You can do this by either installing it via the OS's package manager, or by getting a copy in your home directory, and telling canopy where to find it

I'm running code under Enthought Canopy to open and read a file. It keeps telling me IOError. But I am pretty sure the text file name is right and it is in the same directory with the Python file, and the code works well in other IDEs like Python IDLE. Don't know what's wrong. Any suggestions? inFile = open('words.txt', 'r') words = inFile.read().split() fails with IOError: [Errno 2] No such file or directory: 'words.txt' punchagan UPDATE: The following hack is not required in Canopy versions 1.0.3 and greater. Right click inside the Python pane, and select Keep Directory Synced to Editor .

This may seem to be a useless feature but it would be very helpful for me. I would like to save the output I get inside Canopy IDE. I would not think this is specific to Canopy but for the sake of clarity that is what I use. For example, my console Out[2] is what I would want from this: I think that the formatting is quite nice and to reproduce this each time instead of just saving the output would be a waste of time. So my question is, how can I get a handle on this figure? Ideally the implimentation would be similar to standard methods, such that it could be done like this: from matplotlib

I am trying to run a simple code and I have all the dependencies for matplotlib and numpy installed in my Canopy. Still I am getting error. import cv2 import numpy as np import matplotlib.pyplot as plt x = cv2.imread('jay.jpg') plt.imshow(x, cmap = 'gray', interpolation = 'bicubic') plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis plt.show() Error: %run "c:\users\jay\appdata\local\temp\tmppvibq9.py" --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) c:\users\jay\appdata\local\temp\tmppvibq9.py in

How to use Python 3 in Canopy Enthought? It has the option on the bottom to select Python 3, but this does not change anything when we use: print(sys.version) 2.7.3 | 32-bit | (default, Mar 25 2013, 15:38:39) [MSC v.1500 32 bit (Intel)] An Enthought engineer answered that at present it is not possible to use Python 3 in or with Canopy . They are considering several ways to support it but none of them will arrive in the short term. Edit : Enthought just announced Python 3 support for Canopy 2.0 . as you can see on https://www.enthought.com/products/canopy/package-index/ most(or some) packages