Hi
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy also has a numpy wheel
1.19.4+vanilla‑cp39‑cp39‑win_amd64.whl
"Vanilla is a minimal distribution, which does not include any optimized
BLAS libray or C runtime DLLs."
Have not tried this.
cheers
Malcolm
On 30/11/2020 7:19 am, MRAB wrote
On 2020-11-29 18:33, Dennis Lee Bieber wrote:
On Sat, 28 Nov 2020 17:28:50 -0600, Larry Burford
declaimed the following:
when trying to run the tutorial program standardplot.py I get a msg that
says my numpy won't pass a sanity check due to a problem in the Win runtime
Wait for M
HI
Just had the same problem.
The solution that worked for me was (
pip uninstall numpy
then
pip install numpy==1.19.3
The latest update to windows has an error in the BLAS libray causing the
error. its a known problem.
hope this helps
Malcolm
On 29/11/2020 10:28 am, Larry Burford wro
I have completed reloading
Still getting the error msg for numpy
Gentlemen/Ladies,
new to visual studio
new-ish to python (I hope this is more to do with python ...)
~5 yr old HP with 16 GB, 1 TB, W10 pro, python 3.9.0, VSCode
1.51.1, 3 monitor desktop
when trying to run th
On Mon, May 23, 2016 at 9:12 AM wrote:
> > On 23 mei 2016, at 14:19, Peter Otten <__pete...@web.de> wrote:
> > li...@onemanifest.net wrote:
> >
> >> I've got a 2D array
> >> And an array of indexes that for shows which row to keep for each column
> >> of values:
> >>
> >> keep = np.array([2, 3, 1
>
> On 23 mei 2016, at 14:19, Peter Otten <__pete...@web.de> wrote:
>
> li...@onemanifest.net wrote:
>
>> I've got a 2D array with values:
>>
>> values = np.array(
>> [[ 20, 38, 4, 45, 65],
>> [ 81, 44, 38, 57, 92],
>> [ 92, 41, 16, 77, 44],
>> [ 53, 62, 9, 75, 12],
>> [ 58, 2, 60, 100,
li...@onemanifest.net wrote:
> I've got a 2D array with values:
>
> values = np.array(
> [[ 20, 38, 4, 45, 65],
> [ 81, 44, 38, 57, 92],
> [ 92, 41, 16, 77, 44],
> [ 53, 62, 9, 75, 12],
> [ 58, 2, 60, 100, 29],
> [ 63, 15, 48, 43, 71],
> [ 80, 97, 87, 64, 60],
> [ 16, 16, 70, 88,
Hi,
I've got a nympy problem I can't get my head around. (numpy is new to me).
I've got a 2D array with values:
values = np.array(
[[ 20, 38, 4, 45, 65],
[ 81, 44, 38, 57, 92],
[ 92, 41, 16, 77, 44],
[ 53, 62, 9, 75, 12],
[ 58, 2, 60, 100, 29],
[ 63, 15, 48, 43, 71],
[ 80, 97, 87,
Tino Wildenhain wrote:
W. eWatson wrote:
I'm trying to figure out why an application that both myself and a
colleague use gives errors when he uses it under W98. I'm using XP.
Py 2.5 is installed on each of our machines. His first problem came with
...
Clearly things have gone astray. Is n
W. eWatson wrote:
I'm trying to figure out why an application that both myself and a
colleague use gives errors when he uses it under W98. I'm using XP. Py
2.5 is installed on each of our machines. His first problem came with
...
Clearly things have gone astray. Is numpy somehow not compati
I'm trying to figure out why an application that both myself and a colleague
use gives errors when he uses it under W98. I'm using XP. Py 2.5 is
installed on each of our machines. His first problem came with matplotlib
that pointed to the "from pylab ..." line below. The message ended with
" .
ZMY wrote:
> Dear Robert,
>
> So how should I do this? I tried
>
> d1 = {1: array([2, 3, 4]).copy(), 2: ''}
> l1 = []
> for i in range(3): l1.append(d1.copy())
>
> and it still doesn't work.
Of course it doesn't, for the same reason that your first attempt didn't work
either. You've
Dear Robert,
So how should I do this? I tried
d1 = {1: array([2, 3, 4]).copy(), 2: ''}
l1 = []
for i in range(3): l1.append(d1.copy())
and it still doesn't work.
I think my problem is: how to create a new array every time I append
it to the list...
Thanks in advance,
- ZMY
On
ZMY wrote:
> I am new to Numpy/Pylab, and I am trying to construct a list of
> dictionaries with arrays as the items, for example:
>
dict = {1: array([2, 3, 4]), 2: ''}
list1 = []
for i in range(3): list1.append(dict.copy())
> ...
list1
> [{1: array([2, 3, 4]), 2: ''}, {1: arra
I am new to Numpy/Pylab, and I am trying to construct a list of
dictionaries with arrays as the items, for example:
>>> dict = {1: array([2, 3, 4]), 2: ''}
>>> list1 = []
>>> for i in range(3): list1.append(dict.copy())
...
>>> list1
[{1: array([2, 3, 4]), 2: ''}, {1: array([2, 3, 4]), 2: ''}, {1:
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