matplotlib-users Mailing List for matplotlib

By the way, soon I will have a book out on creating interactive
applications using matplotlib. I devote an entire chapter to clearly (I
hope!) demonstrating how to use particular GUI toolkits with matplotlib. It
is currently going through the final pre-publishing steps, so I should be
announcing its release fairly soon.
Cheers!
Ben Root
On Wed, Jan 28, 2015 at 2:42 PM, Sterling Smith <sm...@fu...>
wrote:
> Did you come across
> http://matplotlib.org/examples/user_interfaces/embedding_in_qt4.html
> ?
> -Sterling
>
> On Jan 28, 2015, at 11:38AM, mo...@po... wrote:
>
> > On 2015年01月28日 16:25 Thomas Caswell <tca...@gm...> wrote:
> >> It should be exactly the same as for Qt4, just importing from the Qt5
> >> version
> >
> > Sorry, but my question was to unspecific.
> >
> > I don't know how it worked with Qt4.
> >
> > I need to know I can "draw" a plot into a QWidget or something else. I
> > couldn't find an example or documentation about it.
> >
> >
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Even deprecated, mpl.finance can do some of the things you need.
Check these tutotials, and others, here:
https://www.youtube.com/playlist?list=PLQVvvaa0QuDc2QjQOkZ4rtLYZVll_sZFZ
There is also something about live stream and memory usage concern with
matplotlib when reloading the charts, somewhere.
Regards,
Milcent
Em Fri Jan 30 2015 at 21:03:56, Benjamin Root <ben...@ou...> escreveu:
> To be clear, most of what was in finance.py were convenience functions for
> parsing through stock data from the yahoo interface, and for plotting.
> Taking a quick look, perhaps it might make sense to pull out a couple
> fundamental chart types, but most of the code are just simply convenience
> wrappers, and largely outdated now.
>
> The problem we are having is that users would file bug reports saying that
> we were doing a particular chart incorrectly, and none of us had any domain
> knowledge to know if that was the truth, false, or just a matter of opinion
> in the field. Matplotlib is also intended to be a general-purpose plotting
> library. It really shouldn't be doing much of the data preparatory work.
> You should just tell it what to plot and let it crank. If that data
> happened to have used a moving window, it wouldn't matter if it was an
> average, median, or what-have-you. Matplotlib is fairly low-level, and
> works very well that way. For example, there isn't an
> "streamed_data_plot()" function. You have to do the streaming yourself and
> update the plot.
>
> For data wrangling, I would suggest using Pandas. It interfaces quite
> nicely (mostly) with matplotlib, and it is considered the de facto tool to
> use for time series statistical analyses. Once the data is mashed into the
> form you need, then you can plot it however you like.
>
> If you really want to keep finance.py alive, then all we are looking for
> is someone knowledgable to stand up and take responsibility for it. It is
> mostly self-contained, so it is even possible to spin it off as its own
> mpl_toolkit managed separately from matplotlib.
>
> I mean, let's face it... do you really want your finances managed by a
> bunch of meteorologists and astrophysicists? ;-P
>
> Cheers!
> Ben Root
>
>
> On Fri, Jan 30, 2015 at 1:30 PM, Thomas Caswell <tca...@gm...>
> wrote:
>
>> Boris,
>>
>> Please direct such questions to the user list in the future (I have
>> included the list on my reply). You may need to join the list to be able
>> to post.
>>
>> The reason that mpl.finance was deprecated is that none of the current
>> core developers work in finance and hence do not have the domain expertise
>> to maintain the module. We are currently looking for a volunteer to take
>> responsibility for that bit of code.
>>
>> I have no experience with plotting financial data and am hesitant to
>> speculate about performance, but have gotten 20-30 fps out of mpl on other
>> applications.
>>
>> Tom
>>
>> On Fri Jan 30 2015 at 1:19:47 PM tbad <tba...@gm...> wrote:
>>
>>> Hello Thomas,
>>>
>>> - You write in Github that matplotlib finance is deprecated since
>>> matplotlib 1.4. What is instead of it?
>>> - Can you please advice on what to use if i want to use matplotlib for
>>> charting stocks, volume in different formats like candlesticks, tick
>>> charts, bar charts with technical analysis add-ons like moving averages
>>> etc.? I want to have charts with intra-day real time streaming with a lot
>>> of stocks (i have a data feed provider). Or the only way is to do
>>> everything manually?
>>> - And will matplotlib be capable of streaming a lot of stocks tick by
>>> tick without delays?
>>> - Also maybe there are other python packages useful for trading purposes?
>>>
>>> Thank you for any answers beforehand,
>>> Best regards,
>>> Boris
>>>
>>
>>
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>> hub for all things parallel software development, from weekly thought
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>>
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