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3.4.3

  • Minor tweak to README for better rendering in PyPI.

3.4.2

  • Update docs link.

3.4.1

  • #16: Restore support for passing iterable data elements.

3.4

Issue #14:

  • svg.charts.plot.Plot (and hence its subclass svg.charts.time_series.Plot) now accept data as a sequence of pairs. Example:

    import svg.charts.plot

g = svg.charts.plot.Plot()
g.add_data(dict(title='Example',
                data=[(1, 1), (2, 4), (3, 9)]))

  • data point labels that are drawn when show_data_values = True can have their label changed from the default (which is the y-value) by giving a data item a .text attribute. It is convenient to used namedtuple() for this:

    import svg.charts.plot
from collections import namedtuple

Datum = nametuple("Datum", 'x y text')

g = svg.charts.plot.Plot()
g.add_data(dict(title='Example',
                data=[Datum(1, 1, 'first'),
                      Datum(2, 4, 'second'),
                      Datum(3, 9, 'third')]))

    (in fact data items can have any extra attribute; only .text is used currently)

3.3.1

  • #13: Fix issues in lazy-evaluated iterators.

3.3

  • #12: The library now provides an svg.charts.graph.DrawHooks mix-in for customizing the draw behavior.
  • Cleaned up documentation.

3.2

  • #8: Subtitle is now rendering the subtitle and not the title again.

  • #9: Bar objects now expose a _fill_class method for overriding the default CSS fill class. It's now possible to create a custom subclass that generates the fill based on the field index as well. For example:

    class VerticalBar(svg.charts.bar.VerticalBar):
    key = False

    def _fill_class(self, dataset_index, field_index):
        fill_index = 1 + dataset_index + field_index*len(self.data)
        return 'fill%s' % fill_index

3.1

  • Adding a couple small dependencies eliminated a lot of duplicated code in the util module.
  • Corrected error when stacked was used in Line charts.

3.0

  • Dropped support for Python 2.6.
  • Requires setuptools for installation.
  • Filter out comments when parsing CSS.
  • Corrected errors in Graph.render_inline_styles.

2.3

  • #4: Added hook in Graph to allow overriding of the attributes on the root SVG element. One can now override or monkeypatch Graph._get_root_attributes to alter the rendering of the root attributes such as width and height. For example, to omit width and height:

    class MyPlot(plot.Plot):
    def _get_root_attributes(self):
        attrs = super(MyPlot, self)._get_root_attributes()
        del attrs['width']
        del attrs['height']
        return attrs

2.2.2

  • #1: Fixed javascript ID names in TimeSeries labels.

2.2.1

  • #5: Fixed references to class attributes in graph.py.

2.2

  • SF Issue #1: Fixed installation on Unix systems again. Author's preference for lowercase readme.txt was trumped by setuptools #100.
  • Moved hosting to BitBucket.
  • Established Continuous Integration Tests on Github mirror using Travis-CI.

2.1

  • Project now builds and tests pass on Python 3 without 2to3.

2.0.9

  • Corrected buggy logic in y-axis label rendering (thanks to Emmanuel Blot).
  • Converted to Unix line endings.

2.0.8

  • Updated to latest cssutils with Python 3 support. Thanks Christof!
  • Fixed a few remaining issues with Python 3 compatibility.

2.0.7

  • Fixed bug in rendering of Pie Chart styles.
  • Improved testing framework. Now samples are at least generated as part of the test suite.
  • Fixed bug in javascript when label ids had spaces. See #3139197.
  • Fixed build issue where package data wasn't included due to 2to3 technique. Now using distribute technique and installation on Python 3 requires distribute.

2.0.6

  • Fixed bug where x axis labels would not be rendered properly if the largest value was the same as the largest visible x value on the chart.

2.0.5

  • Altered the way CSS files are loaded, so they can be more easily customized by subclasses (and less dependent on the class names).

2.0.4

  • A small attempt to improve the documentation - added links to examples that already exist.

2.0.3

  • Fix IndexError in svg.charts.plot.Plot.field_size when there are only two values returned by float_range (in the case there are only two different 'y' values in the data) and scale_y_integers == True. Credit to Jean Schurger for the patch.
  • Fixed problem in setup.py installing on Unix OS (case sensitivity of readme.txt). Credit to Luke Miller and Jean Schurger for supplying a patch for this issue.

2.0.2

  • Updated cssutils dependency to 0.9.6 (currently in beta) to require the CSS profiles support.
  • Completed an SVG CSS profile according to the SVG 1.1 spec.

2.0.1

  • Added preliminary SVG CSS profile, suitable for stock CSS properties.

2.0

  • First major divergence from the Ruby reference implementation
  • Now implemented as a namespace package (svg.charts instead of svg_charts)
  • Changed XML processor to lxml
  • Enabled extensible css support using cssutils, greatly reducing static CSS
  • Renamed modules and methods to be more consistent with PEP-8 naming convention

Upgrading from 1.x to 2.0

I suggest removing SVG 1.0 from the python installation. This involves removing the SVG directory (or svg_chart*) from site-packages.

Change import statements to import from the new namespace, so:

from SVG import Bar
Bar.VerticalBar(...)

becomes:

from svg.charts import bar
bar.VerticalBar(...)

1.2

  • Bug fixes

1.1

  • First public release