irfpy.util.with_context

With statement extension.

With with statement, a code block is wrapperd by a context manager. See also https://docs.python.org/3/library/contextlib.html

Code author: Yoshifumi Futaana

printoptions(*args, **kwds)

This with statement controls the output of numpy array.
irfpy.util.with_context.printoptions(*args, **kwds)[source]

This with statement controls the output of numpy array.

Use numpy.set_printoptions locally in with-block.

Params args:

Identical to numpy.set_printoptions.

Keywords kwds:

Identical to numpy.set_printoptions.

Simple usage is

>>> with printoptions(precision=3, suppress=True):
...     print(np.logspace(-3, 3, 5))    
[    0.001     0.032     1.       31.623  1000.   ]

Step-by-step explanation follows.

>>> x = np.logspace(-3, 3, 5)

A default output will be

>>> print(x)   
[1.00000000e-03 3.16227766e-02 1.00000000e+00 3.16227766e+01
 1.00000000e+03]

Such output has too much digits, and thus redundunt. Also, sometimes you want to suppress insignificant value like 3.8132234e-17 as 0.

Numpy prepares the functionality, set_printoptions, but it will change the numpy feature globally.

Therefore, use printoptions(). Just do as follows.

>>> with printoptions(precision=3, suppress=True):
...     print(x)    
[    0.001     0.032     1.       31.623  1000.   ]

Outside with statement, the print option becomes back.

>>> print(x)  
[1.00000000e-03   3.16227766e-02   1.00000000e+00   3.16227766e+01
 1.00000000e+03]

The code is taken from http://stackoverflow.com/questions/2891790/pretty-printing-of-numpy-array

irfpy.util.with_context.doctests()[source]