Is Matplotlib suitable for automatically rendering many charts per day?

Hello, new subscriber here, and total Matploblib newbie. More accurately, I
have not even attained newbie status as I haven't played with Matplotlib
yet. I thought I would pick your collective brain to see if I am in the
right place.

I'm developing an application which will monitor daily electricity use for
businesses. I need to render relatively simple charts (mainly area charts)
every day, eventually thousands of them per day. They will not be
interactive charts, in fact I need to render them as PNG's.

I currently use SQL Server's Reporting Services to do this, but it is way
too slow for the volumes I'm talking about. So I'm thinking of using Python
and a chart library, which brought me to Matplotlib.

As I said, the charts are not complicated, but I need precise control over
dimensions, colors, axis labels, things like that. And most importantly,
rendering must be fast.

Thank you in advance for any suggestions/advice.

Regards,

Dave

···

_____

Dave Krinkel

dkrinkel at energyai.com <mailto:dkrinkel at energyai.com>

Berkeley, CA | 510.847.6103

www.energyai.com <http://www.energyai.com/>

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-devel/attachments/20170414/984a1da1/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 6447 bytes
Desc: not available
URL: <http://mail.python.org/pipermail/matplotlib-devel/attachments/20170414/984a1da1/attachment.jpg>

Yes, matplotlib is exactly the right tool for this job. Please peruse
through our gallery for the many different kinds of plots you can make. And
just about everything is customizable in one way or another.

Looking forward to hearing more questions from you as you explore this
tool. You might get a wider audience, though, from the matplotlib-users
list. This list is more for discussions between developers, and deeper
questions about design and architecture of the library.

Cheers!
Ben Root

Hello, new subscriber here, and total Matploblib newbie. More accurately,
I have not even attained newbie status as I haven?t played with Matplotlib
yet. I thought I would pick your collective brain to see if I am in the
right place.

I?m developing an application which will monitor daily electricity use for
businesses. I need to render relatively simple charts (mainly area charts)
every day, eventually thousands of them per day. They will not be
interactive charts, in fact I need to render them as PNG?s.

I currently use SQL Server?s Reporting Services to do this, but it is way
too slow for the volumes I?m talking about. So I?m thinking of using Python
and a chart library, which brought me to Matplotlib.

As I said, the charts are not complicated, but I need precise control over
dimensions, colors, axis labels, things like that. And most importantly,
rendering must be fast.

Thank you in advance for any suggestions/advice.

Regards,

Dave

------------------------------

*Dave Krinkel*

dkrinkel at energyai.com

Berkeley, CA | 510.847.6103 <(510)%20847-6103>

www.energyai.com

[image: EAiFullLogowSmileDocHdr]

_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel at python.org
Matplotlib-devel Info Page

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-devel/attachments/20170415/3e977df5/attachment.html&gt;
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 6447 bytes
Desc: not available
URL: <http://mail.python.org/pipermail/matplotlib-devel/attachments/20170415/3e977df5/attachment.jpg&gt;

···

On Fri, Apr 14, 2017 at 8:08 PM, Dave Krinkel <dkrinkel at energyai.com> wrote: