Markos,
I can explain the difference from a non-numpy point of view - I hope you
will be able to see how this difference affects what you are trying to do
in numpy.
vector_1 is an np.array consisting of a three-element list, with the three
elements being 1, 0 and 1.
vector_2 is an np.array consi
Every array in numpy has a number of dimensions,
"np.array" is a function that can create an array numpy given a list.
when you write
vector_1 = np.array([1,2,1])
you are passing a list of number to thet function array that will create a 1D
array.
As you are showing:
vector_1.shape
will retur
Keep also in mind that numpy is quite different from Matlab.
In Matlab every vaiable is a matrix of at least 2 dimensions.
This is not the case of numpy (and is not the case in Fortran too).
every array can have a different number of dimensions. The transposition of an
array with just 1 dimension
64-bit Python 3.6.8 running on Windows with a virtual environment activated.
"pip -v" reports 19.0.3
"python -m pip" reports 19.1.1
Is this behavior by design or a bug?
My takeaway is that its better to run "python -m pip ..." vs "pip ..." when
running pip related tasks.
Thoughts?
Malcolm
--
you must be picking up pip from a different python installl (or virtualenv)
than you are picking up python.
Check your %PATH%
On Fri, Jun 21, 2019 at 6:29 AM Malcolm Greene wrote:
> 64-bit Python 3.6.8 running on Windows with a virtual environment
> activated.
>
> "pip -v" reports 19.0.3
> "pyth
Any suggestions on how one can force the "python -m site" ENABLE_USER_SITE
value to false?
Is it possible to globally force this setting - across all users - when
installing a system wide version of Python ... or via a command line option
when starting a Python session?
Motivation: When ENABLE
> you must be picking up pip from a different python install (or virtualenv)
> than you are picking up python.
> Check your %PATH%
That was our first guess. Only one version of Python installed on the system
(we install on an empty, freshly serviced pack Windows VM). Only one version of
python*
On 21/06/2019 15.27, Malcolm Greene wrote:
> 64-bit Python 3.6.8 running on Windows with a virtual environment activated.
>
> "pip -v" reports 19.0.3
> "python -m pip" reports 19.1.1
>
> Is this behavior by design or a bug?
If the pip and python executables you're calling both live in the
virtual
On Fri, Jun 21, 2019 at 11:55 PM Malcolm Greene wrote:
>
> > you must be picking up pip from a different python install (or virtualenv)
> > than you are picking up python.
> > Check your %PATH%
>
> That was our first guess. Only one version of Python installed on the system
> (we install on an e
On Jun 21, 2019, at 8:49 AM, Malcolm Greene wrote:
>
> Any suggestions on how one can force the "python -m site" ENABLE_USER_SITE
> value to false?
>
> Is it possible to globally force this setting - across all users - when
> installing a system wide version of Python ... or via a command line
> From: Ed Leafe
> StackOverflow:
> https://stackoverflow.com/questions/25584276/how-to-disable-site-enable-user-site-for-an-environment
Thanks Ed! My takeaway from the above article and our path going forward is to
explictly force ENABLE_USER_SITE to false via Python's "-s" switch.
Malcolm
--
> From: Chris Angelico
> Are you doing this in cmd.exe, powershell, bash, or some other shell?
Same result via cmd.exe and PowerShell (ps1).
> There are a LOT of ways that the Windows path can fail to pick up the correct
> 'pip'. Normally activating a venv should let you use "pip" to mean the r
Malcolm> Running pip as a package (python -m pip) will force the use
of the virtual env copy of pip. Running pip as an application vs
package may use the system version of pip.
I believe it is for just this reason that the recommended spelling
these days is "python -m pip".
Skip
--
https://mail.
On 2019-06-21 02:39, Markos wrote:
Hi,
I'm studying Numpy and I don't understand the difference between
vector_1 = np.array( [ 1,0,1 ] )
with 1 bracket and
vector_2 = np.array( [ [ 1,0,1 ] ] )
with 2 brackets
The shape of vector_1 is:
vector_1.shape
(3,)
But the shape of vector_2 i
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