On Fri, Oct 23, 2020 at 3:35 AM Grant Edwards wrote:
> Moving from 2.x to 3.x isn't too bad, but trying to maintain
> compatiblity with both is painful. At this point, I would probably
> just abandon 2.x.
>
Definitely. No point trying to support both when you're starting with
code from a Py3 exam
On 2020-10-22, Chris Angelico wrote:
> On Fri, Oct 23, 2020 at 12:15 AM Shaozhong SHI wrote:
>> What should I know or watch out if I decide to move from Python 2.7
>> to Python 3?
>
> Key issues? Well, for starters, you don't have to worry about whether
> your strings are Unicode or not. They ju
On Fri, Oct 23, 2020 at 12:15 AM Shaozhong SHI wrote:
>
> Thanks, Chris.
>
> What should I know or watch out if I decide to move from Python 2.7 to Python
> 3?
>
> What are the key issues? Syntax?
>
Keep it on-list please :)
Key issues? Well, for starters, you don't have to worry about whether
Never worked with ZFS, it sounds interesting. Anyway, IMHO it's much more
simple to save to disk also for debugging: you have not to extract the data
from the db if you need to inspect them.
On Thu, 22 Oct 2020 at 14:39, D'Arcy Cain wrote:
> On 10/22/20 7:23 AM, Marco Sulla wrote:
> > I would ad
On 10/22/20 7:23 AM, Marco Sulla wrote:
I would add that usually I do not recommend saving files on databases. I
usually save the file on the disk and the path and mime on a dedicated
table.
I used to do that because backing up the database became huge. Now I use
ZFS snapshots with send/recei
On Thu, Oct 22, 2020 at 8:28 PM Shaozhong SHI wrote:
>
> I found this last option is very interesting.
>
> Saving the dataframe to memory using StringIO
>
> https://naysan.ca/2020/06/21/pandas-to-postgresql-using-psycopg2-copy_from/
>
> But, testing shows
> unicode argument expected, got 'str'
>
>
I would add that usually I do not recommend saving files on databases. I
usually save the file on the disk and the path and mime on a dedicated
table.
--
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Try to save it in a binary field on PG using hdf5:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_hdf.html
On Thu, 22 Oct 2020 at 11:29, Shaozhong SHI wrote:
> I found this last option is very interesting.
>
> Saving the dataframe to memory using StringIO
>
> htt
I found this last option is very interesting.
Saving the dataframe to memory using StringIO
https://naysan.ca/2020/06/21/pandas-to-postgresql-using-psycopg2-copy_from/
But, testing shows
unicode argument expected, got 'str'
Any working example for getting DataFrame into a PostgreSQL table direc
