spyder

When I use Matplotlib to plot some graphs, it is usually fine for the default inline drawing. However, when I draw some 3D graphs, I'd like to have them in a separate window so that interactions like rotation can be enabled. Can I configure in Python code which figure to display inline and which one to display in a new window? I know that in Spyder, click Tools, Preferences, Ipython Console, Graphics and under Graphics Backend select “automatic” instead of “inline”. However, this make all the figures to be in new windows. It can be messy when I have a lot of plots. So I want only those 3D plot

Since yesterday I've had this error when I try to import packages on anaconda : ImportError: Missing required dependencies ['numpy'] I have tried un-installing Anaconda and Python, switching to Python 2.7 but nothing works it's still the same error, here is the code I get : Any help is really appreciated thanks ! I had this same issue immediately after upgrading pandas to 0.19.2. I fixed it with the following install/uninstall sequence from the windows cmd line: pip uninstall pandas pip uninstall numpy pip install pandas pip install numpy This also broke my matplotlib install so I uninstalled

I upgraded from Python(x,y) 2.7.2.3 to 2.7.6.0 in Windows 7 (and was happy to see that I can finally type function_name? and see the docstring in the Object Inspector again) but now the plotting doesn't work as it used to. Previously (Spyder 2.1.9, IPython 0.10.2, matplotlib 1.2.1), when I plotted this script , for instance, it would plot the subplots side-by-side in an interactive window: Now (Spyder 2.2.5, IPython 1.2.0, Matplotlib 1.3.1) when I try to plot things, it does the subplots as tiny inline PNGs, which is a change in IPython : So I went into options and found this: which seems to

I have installed Anaconda 3 64 bit on my laptop and written the following code in Spyder: import numpy.distutils.system_info as sysinfo import numpy as np import platform sysinfo.platform_bits platform.architecture() my_array = np.array([0,1,2,3]) my_array.dtype Output of these commands show the following: sysinfo.platform_bits Out[31]: 64 platform.architecture() Out[32]: ('64bit', 'WindowsPE') my_array = np.array([0,1,2,3]) my_array.dtype Out[33]: dtype('int32') My question is that even though my system is 64bit, why by default the array type is int32 instead of int64? Any help is appreciated

I have recently started to delve into multiprocessing, as I believe my code can be easily parallelized. Upon working through the tutorials, though, I encountered an issue: functions distributed in a pool do not seem to print. Here's the culprit: __spec__ = None # This line is required for Spyder and not part of the actual example from multiprocessing import Process import os def info(title): print(title) print('module name:', __name__) print('parent process:', os.getppid()) print('process id:', os.getpid()) def f(name): info('function f') print('hello', name) if __name__ == '__main__': info(

I am using 3.6 Python version in anaconda spyder on my mac. But I want to change it to Python 2.7. Can any one tell me how to do that? You can open the preferences (multiple options): keyboard shortcut Ctrl + Alt + Shift + P Tools -> Preferences And depending on the Spyder version you can change the interpreter in the Python interpreter section (Spyder 3.x): or in the advanced Console section (Spyder 2.x): If you want to keep python 3, you can follow these directions to create a python 2.7 environment, called py27. Then you just need to activate py27: $ conda activate py27 Then you can install