Hi,
I am a newbie with python and the data visualization.
I have completed pandas.DataFrame stuff and also the matplotlib.
All of the example that I learned from internet currently are using the
Anaconda Jupyter Notebook.
I know there are API where we can output the result of the graph to png,
wi
On Tue, Jun 25, 2019 at 10:27 PM Mats Wichmann wrote:
> On 6/25/19 6:39 AM, Sinardy Xing wrote:
> > Hi,
> >
> > I am a newbie with python and the data visualization.
> > I have completed pandas.DataFrame stuff and also the matplotlib.
> >
> >
Hi,
I am learning to create python logging.
My goal is to create a logging module where I can use as decorator in my
main app
following is the logging code
start here---
import logging
#DEBUG: Detailed information, typically of interest only when
diagnosing problems.
#INFO : Conf
, 2019 at 8:42 PM Steven D'Aprano wrote:
> On Thu, Aug 01, 2019 at 05:11:04PM +0800, Sinardy Xing wrote:
>
> > I have error look like in the wrapper.
> >
> > Can someone point to me where is the issue
>
> No, but you can.
>
> When the error occurs, Python will p
Hi I solve my problem,
the decorator need to be above the function not when executed. :)
Thanks for reading.
:)
On Thu, Aug 1, 2019 at 8:42 PM Steven D'Aprano wrote:
> On Thu, Aug 01, 2019 at 05:11:04PM +0800, Sinardy Xing wrote:
>
> > I have error look like in the wra
On Fri, Aug 2, 2019 at 12:14 AM Alan Gauld via Tutor
wrote:
> On 01/08/2019 10:11, Sinardy Xing wrote:
>
> > start here---
> >
> > import logging
> >
> > ..snip...
>
>
> > from functools import wraps
> >
> > def logme(func_to_lo
'Current log level is : {}'.format(logger.level))
return orig_func(*args, **kwargs)
return wrapper
def timer(orig_func):
import time
#this wraps is to make sure we are returning orig_func instead of
wrapper
@wraps(orig_func)
def wrapper(*args, **kwargs):
