5 ms·

It's a good library, but I have the feeling that it tries to do too many things, or that you can do the same thing in too many different ways.

• easytiger 12y ago
  Build & installation from scratch is far too complex. Relies on fortran libraries of numpy which I can't get built inside my corporate domain
  • elliott34 12y ago
    Why is that panda's problem? If you have scipy and numpy installed, it's just sudo pip install pandas....
    • easytiger 12y ago
      You can't do that in a closed envrionment
      • ionforce 12y ago
        > You can't do that in a closed envrionment This is the real killer. Any leads on making it less closed? Also, I'm unfamiliar with how pip works, but you can't even install into your local user profile (i.e. w/o root)?
        • damon_c 12y ago
          Sometimes, even when installing to a local virtual environment, if there are required libraries that require, for example a Fortran compiler, you'll need to install that on the system.
        • mynegation 12y ago
          Use Anaconda Python distribution (https://store.continuum.io/cshop/anaconda/ https://store.continuum.io/cshop/anaconda/). Comes bundled with pandas, numpy, scipy (and much more). Does not require admin privileges. Updates and installations do not require working compiler (binary packages for your platform are downloaded).
          • easytiger 12y ago
            Thanks. Tried this and couldn't get it to run on RH5.5
            • pwang 12y ago
              What issue did you have? Please email info@continuum.io with the information - we would love to know more about your problem and help you resolve it.
    • jdf 12y ago
      Just FYI, when 'sudo pip install pandas' doesn't work (which it didn't for me recently), you'll get no love upstream: https://github.com/pydata/pandas/issues/7517 https://github.com/pydata/pandas/issues/7517 As @mynegation notes, you can use Anaconda (or virtualenv).