ModuleNotFoundError: No module named 'scipy._lib' - python-3.x

Question

I read two or three questions related to this problem but I haven't found any solution yet. I don't understand why I have this error.
I am using Python 3.7 and installed scipyusing the pip installer and it worked properly. For those who want to know, I was testing this program (from this website).
If I go in my Python libraries I have two folders as shown on the image below
Now if I go to the scipy folder, I actually have a _lib folder as shown in the image below. So I don't really understand why this error raised up. And I don't know nor understand what I should do.
I don't have any file called integrate inside this folder, so either I am wrong about where to find the module or I have an obsolete scipy version which seems to be hard to know if you just use the pip installer.
The full error code is:
Traceback (most recent call last):
File "C:\Users\YANN\Desktop\Numerical Method - Python\odeint_example.py", line 2, in <module>
from scipy.integrate import odeint
File "C:\Users\YANN\AppData\Roaming\Python\Python37\site-packages\scipy\__init__.py", line 110, in <module>
from scipy._lib._version import NumpyVersion as _NumpyVersion
ModuleNotFoundError: No module named 'scipy._lib'
Also in the file scipy._lib._version.py the docstring of the NumpyVersion class is shown after and I am wondering if it's ok to have a numpy version 1.15.2? I like my 1.15.2 numpy version...
class NumpyVersion():
"""Parse and compare numpy version strings.
Numpy has the following versioning scheme (numbers given are examples; they
can be >9) in principle):
- Released version: '1.8.0', '1.8.1', etc.
- Alpha: '1.8.0a1', '1.8.0a2', etc.
- Beta: '1.8.0b1', '1.8.0b2', etc.
- Release candidates: '1.8.0rc1', '1.8.0rc2', etc.
- Development versions: '1.8.0.dev-f1234afa' (git commit hash appended)
- Development versions after a1: '1.8.0a1.dev-f1234afa',
'1.8.0b2.dev-f1234afa',
'1.8.1rc1.dev-f1234afa', etc.
- Development versions (no git hash available): '1.8.0.dev-Unknown'
Comparing needs to be done against a valid version string or other
`NumpyVersion` instance.
Parameters
----------
vstring : str
Numpy version string (``np.__version__``).
Notes
-----
All dev versions of the same (pre-)release compare equal.
Examples
--------
>>> from scipy._lib._version import NumpyVersion
>>> if NumpyVersion(np.__version__) < '1.7.0':
... print('skip')
skip
>>> NumpyVersion('1.7') # raises ValueError, add ".0"
"""
Any tips will be very appreciated! :)