Anaconda

问题 I am trying to install R 3.4.0 through conda but seems like is currently missing in the channel. ((Renv)) $ conda install -c r r=3.4.0 gives Fetching package metadata ........... Solving package specifications: . Error: Package missing in current linux-64 channels: - r 3.4.0* Is there any way I can install 3.4.0 through in a conda environment? 回答1: The latest version of r available through the r channel is 3.3.2. You can install that like this: conda install -c r r=3.3.2 You can always look

问题 On my windows 7 system I try to install as many packages using conda. These are easy to update with conda update all Unfortunately some packages don't appear in conda but are available through pip and so for those I install them using pip. Updating all pip packages on windows seems more difficult but for /F "delims===" %i in ('pip freeze -l') do pip install -U %i is one way I found. However, this attempts to update all packages, even those installed by conda I believe. Is there some way to

问题 Tensorflow has multiple versions, if I want to install a specific version in Anaconda, which command should I use. 回答1: This is probably the simplest way to do it: pip install --ignore-installed --upgrade tensorflow==1.4 If you want to see all available versions, you can check out https://pypi.python.org/pypi/tensorflow/json I would highly recommend you use virtualenv or conda to isolate your tensorflow installation, especially if you want to play-test different versions and the CPU/GPU

问题 I am new to using pandas and I just don't know what to do with this : I am using python. I have (properly) installed anaconda. In my file I simply create a DataFrame (first by importing it from read_csv, then recreating it by hand to make sure that was not the problem). When I do print (dataframe) it prints: km | price 0 | 240000 | 3650 [...] 23 | 61789 | 8290 When I do dataframe.info() I get this : class 'pandas.core.frame.DataFrame' Int64Index: 24 entries, 0 to 23 Data columns (total 2

问题 I am using Anaconda 4.3.1 64 Bit on Windows 10 64 Bit. I have successfully installed Tensorflow (CPU) according to this. The test program runs in the command line, but not in PyCharm . The problem is that it works only with activate tensorflow . I followed the steps from Pycharm anaconda import tensor flow library issue ("You need to do these following steps:"). It seems now that tensorflow is loaded, but I get a new error: ImportError: Importing the multiarray numpy extension module failed.

问题 Everytime I start Spyder (with Anaconda) I get a massage saying that my version is outdated and I should update it, so I followed the instructions Spyder's own website gave me, which is running the following commands: conda update qt pyqt conda update spyder But Spyder tells me that syntax is invalid. What should I do? 回答1: ( Spyder maintainer here ) Those commands are not meant to be run inside Spyder consoles, but in a system terminal ( cmd.exe on Windows, xterm on Linux or Terminal.app on

问题 Previously my anaconda navigator was not responding so I have rebooted my computer and now when I am trying to open anaconda navigator it pop-ups an error with "there is an instance of anaconda navigator already running". OS: Windows 10 回答1: I met the same problem a few days ago. I found the anaconda navigator will start a process called pythonw . So the following is my solution: open a cmd window; use command tasklist | findstr "pythonw" to find the pid of pythonw, like 37200; use command

问题 Is there a similar config to that of .condarc (anaconda 4.0.0) that allows Jupyter to be configured to work behind a corporate proxy on a local machine? Error received: HTTPError: HTTP Error 407: Proxy Authentication Required 回答1: Way easier: Just add the following to your notebook: In [1]: import os os.environ['http_proxy'] = "http://user:passwd@host:port" os.environ['https_proxy'] = "https://user:passwd@host:port" after that, requests will work OK=200, e.g. In [2]: import requests requests

问题 Is there a similar config to that of .condarc (anaconda 4.0.0) that allows Jupyter to be configured to work behind a corporate proxy on a local machine? Error received: HTTPError: HTTP Error 407: Proxy Authentication Required 回答1: Way easier: Just add the following to your notebook: In [1]: import os os.environ['http_proxy'] = "http://user:passwd@host:port" os.environ['https_proxy'] = "https://user:passwd@host:port" after that, requests will work OK=200, e.g. In [2]: import requests requests