You’ll need Python before doing anything else. Most Linux distributions already have this installed, but you can use this to check:

$ which python

To use the graphing features of CSVSee, you’ll need matplotlib. On Ubuntu, this should work:

$ sudo apt-get install python-matplotlib

If you want to install an official release, first download one from the downloads page, and extract it somewhere.

Then, open that directory in a terminal and run:

$ sudo python install

Or use pip:

$ sudo apt-get install python-pip
$ sudo pip install .

One advantage of using pip is that you can uninstall later like so:

$ sudo pip uninstall CSVSee

If you’d rather use a copy of the latest development version, clone it using Git:

$ git clone git://

then install as before using or pip.

Using virtualenv

There are some hassles when installing CSVSee’s dependencies in a virtualenv. Specifically, NumPy and matplotlib must be compiled from source, requiring extra development headers and other dependencies that are not easily installable using pip. For this reason, it’s strongly recommended that you just install NumPy and matplotlib through your regular package manager (like apt-get).

If you really want to install them in a virtualenv, you could try this:

$ sudo apt-get install python-dev libpng-dev

In order to display an interactive graphing window, you’ll also need a GUI backend that matplotlib can use. Qt4, Gtk, and Tkinter should all work. I use Qt4:

$ sudo apt-get install python-qt4

Then you may be able to do:

$ pip install numpy
$ pip install matplotlib

But I make no promises. In fact, I couldn’t get it to work, so if you manage to do so, please open an issue describing how you did it, so I can include it in this documentation.

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