From: Marcel M. <mar...@gm...> - 2015-01-31 11:31:38
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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 wrappers, and largely outdated now.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 >>> >> >> >> ------------------------------------------------------------------------------ >> Dive into the World of Parallel Programming. The Go Parallel Website, >> sponsored by Intel and developed in partnership with Slashdot Media, is >> your >> hub for all things parallel software development, from weekly thought >> leadership blogs to news, videos, case studies, tutorials and more. Take a >> look and join the conversation now. http://goparallel.sourceforge.net/ >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > ------------------------------------------------------------ > ------------------ > Dive into the World of Parallel Programming. The Go Parallel Website, > sponsored by Intel and developed in partnership with Slashdot Media, is > your > hub for all things parallel software development, from weekly thought > leadership blogs to news, videos, case studies, tutorials and more. Take a > look and join the conversation now. http://goparallel.sourceforge.net/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |