On 2015/05/13 4:14 PM, Neil Girdhar wrote: > Thanks, it works! > > I needed to add: > > import matplotlib.patches > > to one file and > > plt.show() > > to the other. > > Any word on the locations in the code of the seven arrow drawing methods?
I'm not sure how to get to a count of seven. One of them is in the quiver module, but it is very different from the others, and at least for now I suggest you ignore it. Probably everything else is in the patches module, and much of it is called in the text module. Maybe Thomas is counting the text module usage. Ah, yes, and then there is the sankey module. See also https://github.com/matplotlib/matplotlib/pull/4178. Eric > > I've located the arrow drawing code in tikz, and so I can start porting > it over. I'm curious, do we know the linewidth of the edge being > decorated by the arrow? To make arrows scale nicely, most of the arrow > dimensions are given in two pieces: an absolute value (in points for > example) and a line width factor. The dimension is the absolute value > plus the line width factor times the line width. The TikZ manual > explains: "This makes it easy to vary the size of an arrow tip in > accordance with the line width – usually a very good idea since thicker > lines will need thicker arrow tips." > > Best, > > Neil > > On Wed, May 13, 2015 at 10:07 PM, Benjamin Reedlunn <[email protected] > <mailto:[email protected]>> wrote: > > Neil, > > I have attached code to draw the arrowhead. > > -Ben > > > > On May 13, 2015, at 7:44 PM, Neil Girdhar <[email protected] > <mailto:[email protected]>> wrote: > >> Do you have the code that you used to draw the arrowhead? I'm up >> to date now on the development workflow >> (http://matplotlib.org/devel/gitwash/development_workflow.html), >> so I'm ready to start working. >> >> Thanks, >> >> Neil >> >> On Wed, May 13, 2015 at 9:10 PM, Benjamin Reedlunn >> <[email protected] <mailto:[email protected]>> wrote: >> >> Yes, I fully agree that we need to unify the many different >> ways to draw arrows. >> >> Neil, in case an example would be helpful for you, I have >> attached a module that includes a custom arrowhead class. The >> arrowhead class works with the with the ax.annotate() method. >> (I like the annotate method because it allows me to easily >> mix and match coordinate systems for arrow placement.) As you >> can see in the attached pdf, the custom arrowhead doesn't >> include fancy Bezier curves, but that could be added. >> >> -Ben >> >> >> >> On May 13, 2015, at 2:54 PM, Thomas Caswell >> <[email protected] <mailto:[email protected]>> wrote: >> >>> The other thing that should be done is to unify the (I think >>> 7?!?) unique ways to draw arrows in mpl. >>> >>> On Wed, May 13, 2015 at 4:52 PM Neil Girdhar >>> <[email protected] <mailto:[email protected]>> wrote: >>> >>> Yes, I just noticed that as well. That's how the tikz >>> pgf code looks (a sequence of line_to and curve_to >>> commands and so on) so it should be easy to port over the >>> various shapes. >>> >>> On Wed, May 13, 2015 at 4:49 PM, Eric Firing >>> <[email protected] <mailto:[email protected]>> wrote: >>> >>> On 2015/05/13 10:12 AM, Neil Girdhar wrote: >>> >>> If you want to make arrowheads look at all >>> decent, they really need to >>> be enclosed in Bezier curves. See the diagram here: >>> >>> >>> Mpl paths support Bezier curves. >>> http://matplotlib.org/api/path_api.html?highlight=bezier >>> >>> >>> >>> http://tex.stackexchange.com/questions/150289/how-do-you-accomplish-stealth-with-the-new-arrows-meta/230965#230965 >>> >>> The first two look like garbage. The last one is >>> the only one that >>> looks good imho. >>> >>> >>> That depends on the application, and the observer. >>> >>> >>> Sure, but I may as well port them all of the tikz >>> arrowheads over since most of the work would be figuring >>> out how to do it. >>> >>> >>> >>> Eric >>> >>> >>> Best, >>> >>> Neil >>> >>> On Wed, May 13, 2015 at 4:09 PM, Eric Firing >>> <[email protected] <mailto:[email protected]> >>> <mailto:[email protected] >>> <mailto:[email protected]>>> wrote: >>> >>> On 2015/05/13 9:36 AM, Neil Girdhar wrote: >>> >>> I don't know matplotlib well enough (yet) >>> to know what the >>> change would >>> consist of. >>> >>> I suggest you take a look at the >>> beautiful tikz manual: >>> http://pgf.sourceforge.net/pgf_CVS.pdf >>> >>> >>> Very helpful, thank you. >>> >>> >>> The arrows.meta on page 201–212 are >>> really well-designed and >>> beautiful. >>> >>> Compare this with matplotlib's custom arrows: >>> >>> http://stackoverflow.com/questions/16968007/custom-arrow-style-for-matplotlib-pyplot-annotate >>> >>> How do I make tikz's arrowheads available >>> for all backends? >>> >>> >>> My guess offhand is that this is a matter of >>> using the mpl API. I >>> don't think we would want to add all of these >>> types and options to >>> the mpl core; but a toolkit might be ideal >>> for this. The mpl API, >>> which generates the same results for all >>> backends, is quite complete >>> and flexible. Things like arrowheads are >>> Patch objects, and you can >>> specify any path you want. The main trick is >>> figuring out how to >>> handle transforms--what kind of coordinates >>> should the path be >>> specifying? How should things scale as a >>> figure is reshaped and >>> resized? >>> >>> For many of these types you could also use >>> mpl Line2D objects, for >>> which several properties including cap style >>> can be specified. Not >>> all of the TikZ options would be available, >>> but perhaps enough. >>> >>> Eric >>> >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> One dashboard for servers and applications across >>> Physical-Virtual-Cloud >>> Widest out-of-the-box monitoring support with 50+ >>> applications >>> Performance metrics, stats and reports that give you >>> Actionable Insights >>> Deep dive visibility with transaction tracing using APM >>> Insight. >>> >>> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y_______________________________________________ >>> Matplotlib-devel mailing list >>> [email protected] >>> <mailto:[email protected]> >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >>> >>> >>> ------------------------------------------------------------------------------ >>> One dashboard for servers and applications across >>> Physical-Virtual-Cloud >>> Widest out-of-the-box monitoring support with 50+ applications >>> Performance metrics, stats and reports that give you >>> Actionable Insights >>> Deep dive visibility with transaction tracing using APM Insight. >>> >>> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y_______________________________________________ >>> Matplotlib-devel mailing list >>> [email protected] >>> <mailto:[email protected]> >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >> >> >> > > > ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
