[Flask] Creating a bar chart with std and displaying

[Jani Šumak]

Hi Stephen,

saving the plot to a .png and than rendering a jinja2 template would be one
way to do it, but it'd recommend something like this:
http://bokeh.pydata.org/en/latest/

The documentation has some examples for working with Pandas dataframes
<http://bokeh.pydata.org/en/0.12.0/docs/user_guide/charts.html> and you can
find examples using Bokeh with Flask on github.

Hope that helps!

Cheers, Jani

On Fri, Jul 22, 2016 at 9:39 PM Mazzei, Stephen Andrew <
Stephen.Mazzei at asrcfederal.com> wrote:

> Good afternoon, another quick question.
>
> I have the following
> Out[83]: grouped.head()
>
> Date    Wall Clock
> 0       2016-01-24      3348
> 1       2016-01-24      3337
> 2       2016-01-24      3370
> 3       2016-01-24      3343
> 4       2016-01-24      3345
> 6       2016-05-15      3381
> 7       2016-05-15      3432
> 8       2016-05-15      3417
> 9       2016-05-15      3444
> 10      2016-05-15      3412
>
> Where date is the first column and the "Wall Clock" is the second column
>
> I am trying to mark a bar chart showing the mean of the days wall clock
> times, with their std. I have the following
>
> means = grouped.mean()
> errors = grouped.std()
> fig, ax = plt.subplots()
> means.plot.bar(yerr=errors, ax=ax, legend=None))
>
> Which does work, though kind of hard to see. Is there a better way to do
> this? If this is a fine way of doing this, my next question is how do I
> present this to flask front end? Do I need to save this to a .png and then
> load the .png on the server?
>
> Thank you
>
>
> ---
> Stephen A. Mazzei
> Systems Administrator | AFDS, ASRC Federal Data Solutions - P&G HPC
> Account | 513-634-9965
>
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