SciPy/NumPy import guideline
numpy, python, python-import, scipy
Solution
I recommend doing something like
import numpy as np
import scipy as sp
instead. It is always dangerous to do `from ... import *` especially with large modules such as `numpy` and `scipy`. The following illustrates why:
>>> any(['foo'])
True
>>> from scipy import *
>>> any(['foo'])
Traceback (most recent call last):
File "<pyshell#2>", line 1, in <module>
any(['foo'])
File "C:\Python27\lib\site-packages\numpy\core\fromnumeric.py", line 1575, in any
return _wrapit(a, 'any', axis, out)
File "C:\Python27\lib\site-packages\numpy\core\fromnumeric.py", line 37, in _wrapit
result = getattr(asarray(obj),method)(*args, **kwds)
TypeError: cannot perform reduce with flexible type
What happens here? The standard python builtin function `any` is replaced by `scipy.any` which has different behavior. That might break any code that uses the standard `any`.
Problem
Notice: I checked for duplicate and nothing clearly answers my question. I trust you'll let me know if I missed something! In an effort to clean up my code, I have been looking for a standard convention for importing SciPy and NumPy in my programs. I know there is no strict guideline and I can do it the way I want, but from time to time, I still find contradictory instructions. For example, I've read somewhere that NumPy is meant to only implement the array object, while SciPy is there for every other scientific algorithms. So NumPy should be used for array operation and SciPy for everything else... On the other hand, SciPy imports every Numpy functions in its main namespace, such that `scipy.array()` is the same thing as `numpy.array()` (see this question), so NumPy should only be used when SciPy is not being used, as they are duplicates... What is the recommended way to work with SciPy and NumPy? Being a scientist, `sqrt(-1)` should return a complex number, so I'm inclined to go with SciPy only. Right now, my code starts with: ``` import numpy as np from scipy import * from matplotlib import pyplot as plt ``` I use scipy for mathematical operation (such as `log10()`) and numpy for array creation/operations (such as `np.zeros()`). Would it be fine to go all the way with SciPy and never import NumPy explicitly? Will a future update remove NumPy's array manipulation from SciPy?