This is an utility package that helps to edit and concatenate SVG files. It is especially directed at scientists preparing final figures for submission to journal. So far it supports arbitrary placement and scaling of svg figures and adding markers, such as labels.
blog post <http://neuroscience.telenczuk.pl/?p=331>_ for a short tutorial.
The full documentation is available
You can install `svgutils` from Python Package Index (PyPI) using the `pip3` utility:: pip3 install svgutils --user Note that the `pip3` will attempt to install `lxml` library if it is not already installed. For the installation to be sucessful, you need development libraries of `libxml2` and `libxslt1`. On Ubuntu and other Debian-derived Linux distributions you can install them via:: sudo apt-get install libxml2-dev libxslt-dev From Conda
svgutils from the
conda-forge channel can be achieved by adding
conda-forge to your channels with::
conda config --add channels conda-forge
You can install
conda install svgutils
If you don't want to add the channel to your configuration, you can specify it at the time of installation::
conda install svgutils -c conda-forge
To install system-wide (needs administrator privilages):: python3 setup.py install To install locally (do not forget to add ``$HOME/python/lib/python3.6/site-packages/`` to your Python path):: python3 setup.py install --user License ------- The package is distributed under MIT license (see LICENSE file for information). Related packages ---------------- `svg_stack <https://github.com/astraw/svg_stack>`_ is a similar package that layouts multiple SVG files automatically (in a Qt-style). `svgmanip <https://github.com/CrazyPython/svgmanip>`_ a related library that aims for a simple API with the ability to export to PNG accurately `cairosvg <http://cairosvg.org/>`_ a command-line SVG to PNG converter for Python 3.4+ `svglib <https://pypi.python.org/pypi/svglib/>`_ a pure-Python library for reading and converting SVG Authors ------- Bartosz Telenczuk (firstname.lastname@example.org)