The following seems to produce what you want using the data provided
```
In [31]: dF = np.genfromtxt('/home/F.csv', delimiter=',').tolist()
In [32]: dS = np.genfromtxt('/home/S.csv', delimiter=',').tolist()
In [33]: r = [True if i in lS else False for i in dF]
In [34]: sum(r)
Out[34]: 300
```
On Sun, Mar 14, 2021 at 8:35 PM Robert Kern wrote:
>
> On Sun, Mar 14, 2021 at 3:06 PM Ali Sheikholeslam
> wrote:
>>
>> I have written a question in:
>> https://stackoverflow.com/questions/66623145/how-to-get-boolean-matrix-for-similar-lists-in-two-different-size-numpy-arrays-o
>> It was recomme
On Sun, Mar 14, 2021 at 3:06 PM Ali Sheikholeslam <
sheikholeslam@gmail.com> wrote:
> I have written a question in:
>
> https://stackoverflow.com/questions/66623145/how-to-get-boolean-matrix-for-similar-lists-in-two-different-size-numpy-arrays-o
> It was recommended by numpy to send this subje
I have written a question in:
https://stackoverflow.com/questions/66623145/how-to-get-boolean-matrix-for-similar-lists-in-two-different-size-numpy-arrays-o
It was recommended by numpy to send this subject to the mailing lists.
The question is as follows. I would be appreciated if you could advise
On Sun, 2021-03-14 at 17:15 +1100, Juan Nunez-Iglesias wrote:
> Hi Pierre,
>
> If you’re able to compile NumPy locally and you have reliable
> benchmarks, you can write a script that tests the runtime of your
> benchmark and reports it as a test pass/fail. You can then use “git
> bisect run” to au
There's a little pi day easter egg for all math fans. Google for pi to
find it.
___
NumPy-Discussion mailing list
NumPy-Discussion@python.org
https://mail.python.org/mailman/listinfo/numpy-discussion
On Sun, Mar 14, 2021 at 11:14 AM Peter Cock
wrote:
> I would recommend using the community run conda-forge as one of your
> default conda channels. They have a very slick largely automated system
> to update recipes when upstream makes a release. The default Anaconda
> channel from Anaconda, Inc.
Thanks, glad to hear that people are aware of the delay.
As I said, there are other reasons beyond my control, for the limitations.
The wait is on.
--
Sent from: http://numpy-discussion.10968.n7.nabble.com/
___
NumPy-Discussion mailing list
NumPy-Discu
I would recommend using the community run conda-forge as one of your
default conda channels. They have a very slick largely automated system
to update recipes when upstream makes a release. The default Anaconda
channel from Anaconda, Inc. (formerly Continuum Analytics, Inc.) is
comparatively slow.
On 3/14/21 6:12 AM, dan_patterson wrote:
Any idea why the most recent version isn't available on the main anaconda
channel. conda-forge and building are not options for a number of reasons.
I posted a package request there but double digit days have gone by it just
got
10 matches
Mail list logo
