One way to go is using Pandas as it was mentioned before and Seaborn for
plotting (built on top of matplotlib)
I would approach this prototyping first with a single file and not with
the 1000 files that you have.
Using the code that you have for parsing, add the values to a Pandas
DataFrame
I agree with dn. While you could scrape the text files each time you want
to display a user from a design perspective it makes more sense to use a
database to store the data. This doesn't mean that you need to get rid of
the text files or change the format that they are written to but instead
that
On 27/05/2021 21.28, Loris Bennett wrote:
> Hi,
>
> I currently a have around 3 years' worth of files like
>
> home.20210527
> home.20210526
> home.20210525
> ...
>
> so around 1000 files, each of which contains information about data
> usage in lines like
>
> namekb
> alice 1
On 2021-05-27 11:28:11 +0200, Loris Bennett wrote:
> I currently a have around 3 years' worth of files like
>
> home.20210527
> home.20210526
> home.20210525
> ...
>
> so around 1000 files, each of which contains information about data
> usage in lines like
>
> namekb
> alice 1
Hi,
I currently a have around 3 years' worth of files like
home.20210527
home.20210526
home.20210525
...
so around 1000 files, each of which contains information about data
usage in lines like
namekb
alice 123
bob 4
...
zebedee 999
(there are actually more colum
Il giorno giovedì 27 maggio 2021 alle 11:28:31 UTC+2 Loris Bennett ha scritto:
> Hi,
>
> I currently a have around 3 years' worth of files like
>
> home.20210527
> home.20210526
> home.20210525
> ...
>
> so around 1000 files, each of which contains information about data
> usage in lines
