标签: canopy

Canopy的集成Ipython终端允许使用Emacs键绑定,但集成的代码编辑器不允许.从一个窗口切换到另一个窗口时这是一个问题...有没有办法在"Enthought"Canopy代码编辑器中激活Emacs键绑定？(我在OS X上)

我最近卸载了一个很好的Enthought Canopy 32位工作副本并安装了Canopy版本1.1.0(64位).当我尝试使用sklearn来适应模型我的内核崩溃时,我收到以下错误:

The kernel (user Python environment) has terminated with error code 3. This may be due to a bug in your code or in the kernel itself.

Output captured from the kernel process is shown below.

OMP: Error #15: Initializing libiomp5md.dll, but found mk2iomp5md.dll already initialized.
OMP: Hint: This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The …

提前抱歉,如果这是一个有点长的啰嗦,但如果我把它减少太多,问题就会丢失.我正在尝试在pandas和matplotlib之上创建一个模块,这将使我能够创建类似于scatter_matrix的配置文件图和配置文件矩阵.我很确定我的问题归结为我需要从Profile()返回什么对象,以便我可以处理Profile_Matrix()中的Axes操作.然后问题是什么返回形式Profile_Matrix()所以我可以编辑子图.

我的模块(ProfileModule.py)从https://github.com/pydata/pandas/blob/master/pandas/tools/plotting.py借了很多,看起来像:

import pandas as pd
from pandas import Series, DataFrame
import numpy as np
import matplotlib.pyplot as plt

def Profile(x,y,nbins,xmin,xmax):
    df = DataFrame({'x' : x , 'y' : y})

    binedges = xmin + ((xmax-xmin)/nbins) * np.arange(nbins+1)
    df['bin'] = np.digitize(df['x'],binedges)

    bincenters = xmin + ((xmax-xmin)/nbins)*np.arange(nbins) + ((xmax-xmin)/(2*nbins))
    ProfileFrame = DataFrame({'bincenters' : bincenters, 'N' : df['bin'].value_counts(sort=False)},index=range(1,nbins+1))

    bins = ProfileFrame.index.values
    for bin in bins:
        ProfileFrame.ix[bin,'ymean'] = df.ix[df['bin']==bin,'y'].mean()
        ProfileFrame.ix[bin,'yStandDev'] = df.ix[df['bin']==bin,'y'].std()
        ProfileFrame.ix[bin,'yMeanError'] = ProfileFrame.ix[bin,'yStandDev'] / np.sqrt(ProfileFrame.ix[bin,'N'])

    fig = plt.figure(); 
    ax = …

我正在尝试在我的Mac上安装Torch7,但此时安装暂停:

Not updating your shell profile.
You might want to 
add the following lines to your shell profile:

export PATH=/Users/khsiddiqui/torch/install/bin:$PATH
export LD_LIBRARY_PATH=/Users/khsiddiqui/torch/install/lib:$LD_LIBRARY_PATH 
export    DYLD_LIBRARY_PATH=/Users/khsiddiqui/torch/install/lib:$DYLD_LIBRARY_PATH 

不确定这意味着什么.上面我收到了以下输出

echo "Error: could not find ipython in PATH. Do you have it installed?"
   fi

但是我安装了iPython,因为我可以确认:

No update necessary, 'ipython' is up-to-date.
ipython-3.0.0-3.egg was installed on: Thu Apr  9 18:12:32 2015


kamransiquisMBP:torch khsiddiqui$ env | grep PATH
PATH=/Users/khsiddiqui/Library/Enthought/Canopy_64bit/User/bin:
/usr/local/bin:
/usr/bin:
/bin:
/usr/sbin:
/sbin:
/opt/X11/bin:
/usr/texbin

试图找到.bashrc文件

%edit .bashrc
WARNING: Argument given (.bashrc) can't be found as …

我正在开发一个应用程序,它需要使用pyserial模块将字节数组发送到串行端口.我已成功运行代码在canopy中执行此操作:

import serial
ser = serial.Serial('/dev/ttyACM0', 9600, serial.EIGHTBITS, serial.PARITY_NONE, serial.STOPBITS_ONE)
ser.write([4, 9, 62, 144, 56, 30, 147, 3, 210, 89, 111, 78, 184, 151, 17, 129])
Out[7]: 16

但是当我在Spyder中运行相同的代码(两者都运行Python 2.7.6)时,我收到一条错误消息,如

import serial
ser = serial.Serial('/dev/ttyACM0', 9600, serial.EIGHTBITS, serial.PARITY_NONE, serial.STOPBITS_ONE)
ser.write([4, 9, 62, 144, 56, 30, 147, 3, 210, 89, 111, 78, 184, 151, 17, 129])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python2.7/dist-packages/serial/serialposix.py", line 475, in write
n = os.write(self.fd, d)
TypeError: must be string …

我正在尝试运行一个简单的代码,我在我的Canopy中安装了matplotlib和numpy的所有依赖项.我仍然得到错误.

    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()

错误:

     %run "c:\users\jay\appdata\local\temp\tmppvibq9.py"
     ---------------------------------------------------------------------------
     AttributeError                            Traceback (most recent call last)
     c:\users\jay\appdata\local\temp\tmppvibq9.py in <module>()
     2 import numpy as np
     3 import matplotlib.cbook
     ----> 4 import matplotlib.pyplot as plt
     5 
     6 x = cv2.imread('jay.jpg')

     C:\Users\Jay\AppData\Local\Enthought\Canopy\System\Lib\site-packages\matplotlib\pyplot.py in <module>()
     27 from cycler import cycler
     28 import matplotlib
     ---> 29 import …

我正在Mac OSX上运行jupyter笔记本(Enthought Canopy python发行版2.7)(v 10.13.6).当我尝试导入pandas(导入pandas为pd)时,我收到了投诉:ImportError:dateutil 2.5.0是所需的最低版本.我有这些包版本:

• Canopy版本2.1.3.3542(64位)
• jupyter版本1.0.0-25
• 熊猫版0.23.1-1
• python_dateutil版本2.6.0-1

当我使用Canopy编辑器运行时,我没有得到这个抱怨所以它必须是一些jupyter兼容性问题.有没有人有解决方法如何解决这个问题？几个月前一切都很好,直到我最近(并且无意识地)允许更新我的包裹.

我有一个基本的终端问题.我刚刚在Snow Leopard上安装了enthought的Canopy for Python,当我在命令行上工作时,(Canopy 64bit)不断出现.

EX :( Canopy 64bit)Macbook~ [用户名] $

我试过编辑我的bashrc文件,但无济于事.

bashrc目前有这个:

# System-wide .bashrc file for interactive bash(1) shells.
if [ -z "$PS1" ]; then
   return
fi

PS1="Macbook~\u\$"
# Make bash check its window size after a process completes
shopt -s checkwinsize

-

有没有办法阻止"(Canopy 64bit)"显示？

随后pip list我显示了已安装模块的列表,其中包括scipy,numpy和pandas.

如果我是其中pip install -U...任何一个,它会检查它,看到它是最新的,然后返回提示.但是,如果我pip uninstall pandas或我在列表中看到的任何项目,它说

Can't uninstall numpy. No files were found to uninstall

我通过Enthought的Canopy Stack安装了与Python有关的所有内容.

我在地球科学应用中广泛使用 Python（Canopy）。因为我的应用程序是内存消耗，我试图找到方法来擦除我的程序中不再需要的变量，我尝试使用 del 命令来擦除变量内存，但我发现 Canopy 使用的空间仍然是相同的。关于如何从内存中完全擦除变量的任何想法。谢谢