will find the added
pairs, but ignore the removed ones. Is that what you want?
Yes, I think. I want to find the changed pairs. The people that moved team
numbers.
Sayth
--
https://mail.python.org/mailman/listinfo/python-list
Sayth Renshaw wrote:
> will find the added
> pairs, but ignore the removed ones. Is that what you want?
>
> Yes, I think. I want to find the changed pairs. The people that moved team
> numbers.
To find the people that moved team numbers I would tear the pairs apart.
Like:
>>> people = ["Tim","
On Thu, Aug 29, 2019 at 12:51 AM Alemu Geletew via Python-list
wrote:
>
Hmm - - - - somehow you think that other members of this list can
somehow understand what you did do - - - - without you even telling them.
As my crystal ball (for future readings and such) hasn't ever worked it
would
On 29/08/2019 04:40, Hongyi Zhao wrote:
Hi,
I read the following code:
https://github.com/shichao-an/homura/blob/master/homura.py
On the line 265-266, it said:
if STREAM.isatty():
p = (self.progress_template + '\r') % params
What's mean by using the above two lines? C
On Thu, 29 Aug 2019 13:23:07 +0100, Rhodri James wrote:
> TLDR: these two lines set up (but don't output) a progress message for
> an interactive stream.
Thanks a lot for your deeply notes on this. But, if so, when will the
``else ...'' be executed in the original code:
if STREAM.isat
On 29/08/2019 14:37, Hongyi Zhao wrote:
On Thu, 29 Aug 2019 13:23:07 +0100, Rhodri James wrote:
TLDR: these two lines set up (but don't output) a progress message for
an interactive stream.
Thanks a lot for your deeply notes on this. But, if so, when will the
``else ...'' be executed in the o
On 8/29/19, Rhodri James wrote:
>
> "isatty()" is a method of the io.IOBase class that checks to see
> if the stream is connected to a tty, or to use less jargon, if it is
> interactive. "tty" was I think originally an abbreviation for
> "teletype", but nowadays it refers to any terminal, anywher
Sayth Renshaw writes:
> Hi
>
> I am importing 4 columns into a dataframe from a spreadsheet.
>
> My goal is to create a 5th column with TRUE or False if column 4 (str)
> matches column 3.
>
> Trying to leverage this answer https://stackoverflow.com/a/35940955/461887
>
> This is my code
>
> impo
Piet van Oostrum writes:
> So the correct way to do this is to make df1 a copy rather than a view.
>
> df1 = df.loc[:, ('UID','Name','New Leader','Current Team', 'New Team')]
Or maybe even make an explicit copy:
df1 = df[['UID','Name','New Leader','Current Team', 'New Team']].copy()
--
Piet va
On Thu, 29 Aug 2019 14:51:43 +0100, Rhodri James wrote:
> When the stream isn't connected to an interactive terminal, obviously.
> For example, when it's writing to file.
But I cannot see any thing like this in the code.
Regards
--
https://mail.python.org/mailman/listinfo/python-list
On 29/08/2019 16:29, Hongyi Zhao wrote:
On Thu, 29 Aug 2019 14:51:43 +0100, Rhodri James wrote:
When the stream isn't connected to an interactive terminal, obviously.
For example, when it's writing to file.
But I cannot see any thing like this in the code.
I don't understand what's to not t
Thank you! For some reason I didn't think of using issubclass and
isinstance in my Python types investigation. As you may have already
noticed, I am a Python beginner. I also happen to have a Logic and
Foundations of Mathematics background, hence I am tempted to investigate
Python's type taxonomy f
If you want to try out some libraries to build your own tests, you could
try aiohttp, aiodns, and asyncio. The requests using these libraries are
made asynchronously, not completely in parallel, but produce a similar
effect at lower cost. Some examples and docs on these can be found here:
https://d
On Thu, 29 Aug 2019 16:42:44 +0100, Rhodri James wrote:
> I don't understand what's to not to understand.
>
>if condition:
> do_something_because_condition_is_true()
>else:
> do_something_because_condition_is_false()
>
> is a perfectly normal construction. If you mean somethin
On 8/29/2019 8:23 AM, Rhodri James wrote:
On 29/08/2019 04:40, Hongyi Zhao wrote:
Hi,
I read the following code:
https://github.com/shichao-an/homura/blob/master/homura.py
On the line 265-266, it said:
if STREAM.isatty():
p = (self.progress_template + '\r') % params
W
On Friday, 30 August 2019 00:49:32 UTC+10, Piet van Oostrum wrote:
> Piet van Oostrum
>
> > So the correct way to do this is to make df1 a copy rather than a view.
> >
> > df1 = df.loc[:, ('UID','Name','New Leader','Current Team', 'New Team')]
>
> Or maybe even make an explicit copy:
>
> df1 =
On 2019-08-29 23:38, Hongyi Zhao wrote:
On Thu, 29 Aug 2019 16:42:44 +0100, Rhodri James wrote:
I don't understand what's to not to understand.
if condition:
do_something_because_condition_is_true()
else:
do_something_because_condition_is_false()
is a perfectly normal construc
On 29Aug2019 22:38, Hongyi Zhao wrote:
On Thu, 29 Aug 2019 16:42:44 +0100, Rhodri James wrote:
The original code snippet's logic is as follows:
if STREAM.isatty():
p = (self.progress_template + '\r') % params
else:
[do something to reset the new value of p]
On 8/29/2019 10:16 AM, Eryk Sun wrote:
On 8/29/19, Rhodri James wrote:
"isatty()" is a method of the io.IOBase class that checks to see
if the stream is connected to a tty, or to use less jargon, if it is
interactive. "tty" was I think originally an abbreviation for
"teletype", but nowadays i
On Thursday, 29 August 2019 20:33:46 UTC+10, Peter Otten wrote:
> Sayth Renshaw wrote:
>
> > will find the added
> > pairs, but ignore the removed ones. Is that what you want?
> >
> > Yes, I think. I want to find the changed pairs. The people that moved team
> > numbers.
>
> To find the people
Hongyi Zhao wrote:
> On Thu, 29 Aug 2019 16:42:44 +0100, Rhodri James wrote:
>
>> I don't understand what's to not to understand.
>>
>>if condition:
>> do_something_because_condition_is_true()
>>else:
>> do_something_because_condition_is_false()
>>
>> is a perfectly normal con
Sayth Renshaw wrote:
> On Thursday, 29 August 2019 20:33:46 UTC+10, Peter Otten wrote:
>> Sayth Renshaw wrote:
>>
>> > will find the added
>> > pairs, but ignore the removed ones. Is that what you want?
>> >
>> > Yes, I think. I want to find the changed pairs. The people that moved
>> > team nu
On Friday, 30 August 2019 00:49:32 UTC+10, Piet van Oostrum wrote:
> Piet van Oostrum writes:
>
> > So the correct way to do this is to make df1 a copy rather than a view.
> >
> > df1 = df.loc[:, ('UID','Name','New Leader','Current Team', 'New Team')]
>
> Or maybe even make an explicit copy:
>
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