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
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,
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
