On 7/09/21 5:46 am, C. Titus Brown via Python-ideas wrote:
Maybe Greg missed that DictReader.open didn’t exist and was in fact what I was
asking for!
Sorry about that, I thought you were asking for context manager methods
to be added to an existing file-like object.
If csv.DictReader had a cl
On 2021-09-06 10:50, Christopher Barker wrote:
I think the point here is not the context manager, but rather, having
the reader open the file itself, rather than taking an already open
file-like object.
I agree, and I think having such capability is very useful. I'm always
annoyed by things
I really like json.loadf I'd also like to see a csv.loadf. not sure the `f`
is needed: you could use @functools.singledispatch
On Mon, 6 Sep 2021, 01:12 Christopher Barker, wrote:
> On Sun, Sep 5, 2021 at 10:32 AM David Mertz, Ph.D.
> wrote:
>
>> Most Pandas read methods take either a path-like
I think the point here is not the context manager, but rather, having the
reader open the file itself, rather than taking an already open file-like
object.
And if it’s going to do that, it should provide. Context manager.
Personally, while we are at it, I’d like to see a “read all” method,
analog
Thanks for your comments, everyone!
Right, I’m struggling to figure out Greg's example :). Maybe Greg missed that
DictReader.open didn’t exist and was in fact what I was asking for!
(contextlib.closing is great, thank you for that!)
Anyway, just to re-up the original points and add a few -
* o
On Mon, 6 Sept 2021 at 01:13, Greg Ewing wrote:
>
> On 6/09/21 3:07 am, C. Titus Brown via Python-ideas wrote:
> > with csv.DictReader.open(filename) as r:
> > for row in r:
> >…
>
> You can do this now:
>
> from contextlib import closing
> with closing(csv.DictReader.open(filename)) a
On 6/09/21 3:07 am, C. Titus Brown via Python-ideas wrote:
with csv.DictReader.open(filename) as r:
for row in r:
…
You can do this now:
from contextlib import closing
with closing(csv.DictReader.open(filename)) as r:
...
IMO this is preferable than going around adding context m
On Sun, Sep 5, 2021 at 10:32 AM David Mertz, Ph.D.
wrote:
> Most Pandas read methods take either a path-like argument or a file-like
> argument, and figure out which it is by introspection when called.
> Actually, most of them even accept a URL-like argument as well
>
> I don't think this is a te
Most Pandas read methods take either a path-like argument or a file-like
argument, and figure out which it is by introspection when called.
Actually, most of them even accept a URL-like argument as well
I don't think this is a terrible approach. It doesn't make things quite as
explicit as the stan
> This would only be helpful when the CSV is on the disk but csv.reader()
> takes a file object so that it can used with anything like a socket for
> example. json.load() does the same thing.
>
There has been discussion about adding loading from a “path like” to the
JSON lib. See this list about t
> On 5 Sep 2021, at 17:07, C. Titus Brown via Python-ideas
> wrote:
>
> Hi all,
>
> the product of Sunday morning idle curiosity...
>
> I’ve been using the csv module a lot, and I’m wondering if there would be
> value in adding a standard mechanism for opening a CSV file (correctly) using
Seems nice, tarfile has a similar shortcut too. I do tend to reach for
pandas now whenever I can for csv processing
On Sun, 5 Sep 2021, 16:10 C. Titus Brown via Python-ideas, <
python-ideas@python.org> wrote:
> Hi all,
>
> the product of Sunday morning idle curiosity...
>
> I’ve been using the cs
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