+++ /dev/null
-* What is this package?
-
-PyChart is a Python library for creating professional quality PS, PDF,
-PNG, or SVG charts. It supports line plots, bar plots, range-fill
-plots, and pie charts. Because it is based on Python, you can make
-the full use of Python's scripting power.
-
-The PyChart home page is at
-http://www.hpl.hp.com/personal/Yasushi_Saito/pychart
-
-* What you need
-
-You need Python (http://www.python.org) version 2.2 or later (on
-Debian GNU/Linux, you need, python-xml package as well). You also need
-Ghostscript (http://www.cs.wisc.edu/~ghost/) to produce PNG
-files.
-
- Pychart used to require Ghostscript during PS and PDF
- generation to obtain font metric information, but that's no
- longer the case.
-
-* Platforms supported
-
-In theory, PyChart works on any platform with Python. In practice,
-I've run PyChart on Linux and Win2000.
-
-* Installation
-
-Become a root and do:
-
- # python setup.py install
-
-Or, you can set PYTHONPATH environment variable before you start
-Python. For example (in bash):
-
-% PYTHONPATH=~/PyChart-1.33/pychart python mumbo.py
-
-* Documentation
-
-A detailed documentation is found in doc/pychart.
-
-* Examples
-
-All the *.py files in the demos/ directory can be run directly. For
-example,
-
- setenv PYTHONPATH ..
- python linetest.py >foo.eps
- gs foo.eps
-
-or
-
- setenv PYTHONPATH ..
- setenv PYCHART_OPTIONS="format=pdf"
- python linetest.py >foo.pdf
- acroread foo.pdf
-
-* About the author
-
-Yasushi Saito (ysaito@hpl.hp.com), a full-time researcher and
-part-time hacker. This program is created mainly to serve my personal
-needs to write pretty charts for research papers. As such, it is
-updated only when I'm writing a paper, which happens about once every
-half year or so.
-
-Anyway, if you have comments, requests, or (even better)
-fixes/enhancements, feel free to email me.
-