Plugin: Figure

[1313e]

One of the major plugins of GuiPy; the Figure plugin.
This plugin provides a user-friendly environment in which different figures and plots can be made, using matplotlib in the background.

Features:

• General:
  • Figures can be named;
  • Multiple figures can exist simultaneously;
  • Multiple figures can be open/shown/edited simultaneously (using a splitter);
  • Figures can be loaded/saved (using their own file format);
• User interaction:
  • Figures can be rotated; zoomed; and resized;
  • Certain figure elements (like text sizes/fonts/positions; axis positions; line coloring; etc.) can be modified interactively (without an options menu);
  • Hovering over certain plot types (where applicable) shows information about that plot.
• Export:
  • Figures can be exported to image files;
  • Figures can be exported to Python scripts (which recreate the figure when executed).
• Figure options:
  • Set the title of the figure;
  • Set the axis labels;
  • Set the axis ranges;
  • Set the axis scales;
  • Toggle use of a figure legend;
  • Set the size of text elements;
  • Set the font of text elements;
  • Use subplots;
  • Use tight or constrained layouts;
  • 2D or 3D axis can be used;
  • Figure options can be tested without applying them.
• Plot options:
  • Data tables and their columns can be used as input data;
  • Multiple plots can be added to a figure;
  • Type of every plot can be chosen;
  • Errors can be given and plotted;
  • Data/options can be transferred between plot types where possible;
  • Support exists for the following plot types (and their default/general options):
    • Line (plt.plot);
    • Step (plt.plot/plt.step);
    • Contour (plt.contour);
    • Scatter (plt.scatter);
    • Histogram (plt.hist);
    • 2D histogram (plt.hist2d);
    • Hexagonal binning plot (plt.hexbin);
    • Boxplot (plt.boxplot);
    • Image (plt.imshow);
    • Pie chart (plt.pie);
    • Stack plot (plt.stackplot).
  • Every plot type has its own plot options associated with it;
  • Additional plot options can be added using an 'Advanced options' button (using a system similar to the one in PRISM's Crystal).
• Plugin configuration:
  • Colormap packages can be requested to be imported when launching GuiPy;
  • The rcParams of matplotlib can be individually modified;
  • Other things I cannot think of right now...