With scipy 1.10.1 you encounter an error as below:
ERROR: assimulo.tests.test_examples.Test_Examples.test_cvode_gyro
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.9/site-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/foo/pyenv/lib/python3.9/site-packages/assimulo/tests/test_examples.py", line 62, in test_cvode_gyro
cvode_gyro.run_example(with_plots=False)
File "/home/foo/pyenv/lib/python3.9/site-packages/assimulo/examples/cvode_gyro.py", line 72, in run_example
y0=hstack([[1000.*10,5000.*10,6000*10],eye(3).reshape((9,))])
NameError: name 'hstack' is not defined
It looks like scipy.hstack has been removed but unable to find anything about it in the release notes.
Note however that the docstring from scipy.hstack (using scipy 1.7.1) and the numpy function seems identical, thus perhaps it is simply a wrapper:
In [6]: import numpy as np
In [7]: np.hstack
Out[7]: <function numpy.hstack(tup)>
In [8]: np.hstack?
Signature: np.hstack(tup)
Docstring:
Stack arrays in sequence horizontally (column wise).
This is equivalent to concatenation along the second axis, except for 1-D
arrays where it concatenates along the first axis. Rebuilds arrays divided
by `hsplit`.
This function makes most sense for arrays with up to 3 dimensions. For
instance, for pixel-data with a height (first axis), width (second axis),
and r/g/b channels (third axis). The functions `concatenate`, `stack` and
`block` provide more general stacking and concatenation operations.
Parameters
----------
tup : sequence of ndarrays
The arrays must have the same shape along all but the second axis,
except 1-D arrays which can be any length.
Returns
-------
stacked : ndarray
The array formed by stacking the given arrays.
See Also
--------
stack : Join a sequence of arrays along a new axis.
vstack : Stack arrays in sequence vertically (row wise).
dstack : Stack arrays in sequence depth wise (along third axis).
From scipy:
In [9]: import scipy
In [10]: scipy.hstack?
Signature: scipy.hstack(tup)
Docstring:
Stack arrays in sequence horizontally (column wise).
This is equivalent to concatenation along the second axis, except for 1-D
arrays where it concatenates along the first axis. Rebuilds arrays divided
by `hsplit`.
This function makes most sense for arrays with up to 3 dimensions. For
instance, for pixel-data with a height (first axis), width (second axis),
and r/g/b channels (third axis). The functions `concatenate`, `stack` and
`block` provide more general stacking and concatenation operations.
Parameters
----------
tup : sequence of ndarrays
The arrays must have the same shape along all but the second axis,
except 1-D arrays which can be any length.
Returns
-------
stacked : ndarray
The array formed by stacking the given arrays.
See Also
--------
stack : Join a sequence of arrays along a new axis.
vstack : Stack arrays in sequence vertically (row wise).
dstack : Stack arrays in sequence depth wise (along third axis).
concatenate : Join a sequence of arrays along an existing axis.
hsplit : Split array along second axis.
block : Assemble arrays from blocks.
Examples
--------
>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.hstack((a,b))
array([1, 2, 3, 2, 3, 4])
>>> a = np.array([[1],[2],[3]])
>>> b = np.array([[2],[3],[4]])
>>> np.hstack((a,b))
array([[1, 2],
[2, 3],
[3, 4]])
File: c:\foo\python37\lib\site-packages\numpy\core\shape_base.py
Type: function
With scipy 1.10.1 you encounter an error as below:
It looks like
scipy.hstackhas been removed but unable to find anything about it in the release notes. Note however that the docstring fromscipy.hstack(using scipy1.7.1) and the numpy function seems identical, thus perhaps it is simply a wrapper:From scipy: