/usr/share/pyshared/spyderlib/scientific_startup.py is in python-spyderlib 2.1.9-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | # -*- coding: utf-8 -*-
#
# Copyright © 2011 Pierre Raybaut
# Licensed under the terms of the MIT License
# (see spyderlib/__init__.py for details)
"""
Scientific Python startup script
Requires NumPy, SciPy and Matplotlib
"""
from __future__ import division
# Pollute the namespace but also provide MATLAB-like experience:
from pylab import * #analysis:ignore
# Enable Matplotlib's interactive mode:
ion()
# Import modules following official guidelines:
import numpy as np
import scipy as sp
import matplotlib as mpl
import matplotlib.pyplot as plt #analysis:ignore
print ""
print "Imported NumPy %s, SciPy %s, Matplotlib %s" %\
(np.__version__, sp.__version__, mpl.__version__),
import os
if os.environ.get('QT_API') != 'pyside':
try:
import guiqwt
import guiqwt.pyplot as plt_
import guidata
plt_.ion()
print "+ guidata %s, guiqwt %s" % (guidata.__version__,
guiqwt.__version__)
except ImportError:
print
else:
print
def setscientific():
"""Set 'scientific' in __builtin__"""
import __builtin__
from site import _Printer
infos = """\
This is a standard Python interpreter with preloaded tools for scientific
computing and visualization:
>>> import numpy as np # NumPy (multidimensional arrays, linear algebra, ...)
>>> import scipy as sp # SciPy (signal and image processing library)
>>> import matplotlib as mpl # Matplotlib (2D/3D plotting library)
>>> import matplotlib.pyplot as plt # Matplotlib's pyplot: MATLAB-like syntax
>>> from pylab import * # Matplotlib's pylab interface
>>> ion() # Turned on Matplotlib's interactive mode
"""
try:
import guiqwt #analysis:ignore
infos += """
>>> import guidata # GUI generation for easy dataset editing and display
>>> import guiqwt # Efficient 2D data-plotting features
>>> import guiqwt.pyplot as plt_ # guiqwt's pyplot: MATLAB-like syntax
>>> plt_.ion() # Turned on guiqwt's interactive mode
"""
except ImportError:
pass
infos += """
Within Spyder, this intepreter also provides:
* special commands (e.g. %ls, %pwd, %clear)
* system commands, i.e. all commands starting with '!' are subprocessed
(e.g. !dir on Windows or !ls on Linux, and so on)
"""
__builtin__.scientific = _Printer("scientific", infos)
setscientific()
del setscientific
print 'Type "scientific" for more details.'
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