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tslib's Introduction

tslib

Yet another attempt to create a useful nens library for manipulating time series.

Building tslib

Since tslib is basically a wrapper around pandas, which is built on top of Numpy, this transitive dependency needs to be installed first. On Ubuntu, this is most easily done via:

sudo apt-get install python-numpy

Instructions for other platforms may be found here.

To build pandas, we'll need Python header files (installing it via your package manager will probably not give you an up-to-date version, because, at the time of writing, pandas is being actively developed, with new releases every month). On Ubuntu:

sudo apt-get install python-dev

For fast XML parsing, lxml is used (lxml can also be built from source, as long as libxml2-dev and libxslt-dev are installed):

sudo apt-get install python-lxml

If all is well and git is present, tslib should now build smoothly:

git clone https://github.com/nens/tslib.git
cd tslib
python bootstrap.py
bin/buildout

You can verify this by running the tests:

bin/test

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