Version 8 (modified by 15 years ago) ( diff ) | ,
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0. Introduction
This project is focused on using STL containers in order to graph data on a one-dimensional and two-dimensional (and if time allows, 3D!) plot. The plot would be written in an svg
image, compliant with the W3C standard. The goals of the project are as follows:
- To provide an easy syntax for graphing data
- To let users produce a simple plot with minimal intervention by using sane defaults
- To demonstrate how to incorporate SVG images into Boost documentation
- To allow users to easily customize graphs to their heart's content
- To allow the user to talk with the
svg_graph
class using coordinate units instead of pixels or other arbitrary measures
I have only a student's grasp of C++, so if you have a suggestion to help me with design or implementation, either leave them here or email me at jakevoytko [at] gmail [dot] com
1. User Interface
Example
vector<double> experiment_data; // fill experiment_data here svg_plot my_plot("./image.svg"); my_plot<< image_size(500, 500) << x_scale(0, 10) << y_scale(0, 10) << line_color(BLACK) << draw_axis(); my_plot<< plot_range(experiment_data.begin(), experiment_data.end()) << write();
Output
2. Design Decisions
2.1 svg_graph
class
Currently supported operations of the form my_plot << function()
:
x_scale(double, double)
andy_scale(double, double)
- Allows the user to set the bottom, top, left, and right edge of the graph
image_size(int, int)
- This sizes the border of the image. The default right now is up in the air. 100x100 is perhaps unreasonably small for someone with a 1280x1024 monitor, but maybe 300x300 is unreasonably large for someone with 800x600 screen resolution
set_start(double)
- Allows the user to set the x-axis location of the first data point. This is important currently because the interface does not yet support coordinate
pair<,>
s, and so the user is stuck defining the interval with which the data is input. Obviously not all data has a uniform distribution, and they'll be able to pass an STL container of pair<,>s in the future to alleviate this problem.
- Allows the user to set the x-axis location of the first data point. This is important currently because the interface does not yet support coordinate
set_interval(double)
- This allows the user to set the interval between data points that are being graphed. Again, this is necessary until we allow the user to put in coordinate
pair<,>
s, and will remain necessary after that for users who do not have data in coordinates
- This allows the user to set the interval between data points that are being graphed. Again, this is necessary until we allow the user to put in coordinate
plot_range(std::vector<double>::iterator, std::vector<double>::iterator)
- Will be the made generic
- Allows the user to input a begin and an end, and have the user plot the data in between
draw_axis()
- The user specifies that s/he would like the axis drawn in the image.
Inherited from svg
. I am only including the ones it makes sense to include. In the current prototype code, it inherits handling for a few functions that are not only illogical, but produce unexpected results! This will be taken care of.
write()
- Since it would be too much work (and sometimes impossible) to maintain the file without intervention, this function acts as a 'commit'.
- The user can be sure that whenever they have executed this command, the full output is written to the stream they have specified.
line_color(svg_color c)
- Allows users to define a color
point_color()
will soon be supported- Users will be able to define custom colors soon
2.2 svg
Class (planned)
The internal architecture of this class (as far as being a data structure for storing a SVG document) is as follows:
One can consider a <g>
tag as the branch element of a document. Not currently (but soon!) the <g>
element will store full information on the styles of all elements that are listed underneath it. Each <g>
element has a Boost.ptr_vector of tag elements, and soon this will allow (theoretically) infinite branching of the <g> tags, much as the standard would allow. This stores the document XML tree in a literal tree data structure, which I feel makes more sense. A more specific implementation of the internals will most likely come at a date in the near future.
3. To Do List
3.1 Near Future
- Set up codebase in SVN Completed
- Clean up demo code. Comment better, cement next draft of architecture (focus on single axis first)Completed
- Fully support chaining of the overloaded input operator Completed
3.2 Medium Future
- Expand to two-dimensional graphs
- Explore size-saving of the output file (I currently don't take advantage of things like paths that the
svg
model has to offer) - Allow pairs of data to be input
- Explore hover features in the SVG format as a potential way to label data
- Allow any STL-compliant container to be input (I have a hunch this will be more complicated than I'd like, so June 8th is tentative.)
- Consider STL containers that don't directly fit in the straightforward container model (like maps)
3.3 Not So Near Future
- Support 3-D graphs
3.4 Minor Features (No ETA as of May 28)
- Full Color Support
- Add handling for
-NAN
and other double error codes
4. Suggestions (No ETA as of May 28)
By Matias Capaletto:
- Be able to choose a log scale for either the X or the Y axis
By Paul Bristow
- Customize background color of plot
- Customize the background border color
- Customize the "axis area" background color
- Title
- Customize font
- Customize font color
- Axis
- Customize line colors
- Customize line thickness
- Define labels for axis
- Major ticks width, length, color
- Minor ticks width, length, color
- Reasonable defaults for ticks
- Axis marker labels
- Consider the axis for data where the origin is not in the view window
- Consider auto-scaling
- Grid lines
- Data representation
- Allow different data representation points
- Allow appropriate customization of data points
- Consider labels for data points (combined with exploration of hover-text features of SVG mentioned above)
- Consider how to concisely represent the scale of data points
- Multiple data series
- Legend
- Border
- color
- position
- border thickness
- background colors
- Unicode strings