101 lines
2.9 KiB
Python
101 lines
2.9 KiB
Python
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"""StrConverter module containing class StrConverter."""
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import numpy as np
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import matplotlib.units as units
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__all__ = ['StrConverter']
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class StrConverter(units.ConversionInterface):
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"""
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A Matplotlib converter class for string data values.
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Valid units for string are:
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- 'indexed' : Values are indexed as they are specified for plotting.
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- 'sorted' : Values are sorted alphanumerically.
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- 'inverted' : Values are inverted so that the first value is on top.
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- 'sorted-inverted' : A combination of 'sorted' and 'inverted'
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"""
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@staticmethod
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def axisinfo(unit, axis):
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# docstring inherited
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return None
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@staticmethod
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def convert(value, unit, axis):
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# docstring inherited
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if units.ConversionInterface.is_numlike(value):
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return value
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if value == []:
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return []
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# we delay loading to make matplotlib happy
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ax = axis.axes
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if axis is ax.get_xaxis():
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isXAxis = True
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else:
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isXAxis = False
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axis.get_major_ticks()
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ticks = axis.get_ticklocs()
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labels = axis.get_ticklabels()
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labels = [l.get_text() for l in labels if l.get_text()]
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if not labels:
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ticks = []
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labels = []
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if not np.iterable(value):
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value = [value]
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newValues = []
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for v in value:
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if v not in labels and v not in newValues:
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newValues.append(v)
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labels.extend(newValues)
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# DISABLED: This is disabled because matplotlib bar plots do not
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# DISABLED: recalculate the unit conversion of the data values
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# DISABLED: this is due to design and is not really a bug.
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# DISABLED: If this gets changed, then we can activate the following
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# DISABLED: block of code. Note that this works for line plots.
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# DISABLED if unit:
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# DISABLED if unit.find("sorted") > -1:
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# DISABLED labels.sort()
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# DISABLED if unit.find("inverted") > -1:
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# DISABLED labels = labels[::-1]
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# add padding (so they do not appear on the axes themselves)
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labels = [''] + labels + ['']
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ticks = list(range(len(labels)))
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ticks[0] = 0.5
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ticks[-1] = ticks[-1] - 0.5
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axis.set_ticks(ticks)
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axis.set_ticklabels(labels)
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# we have to do the following lines to make ax.autoscale_view work
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loc = axis.get_major_locator()
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loc.set_bounds(ticks[0], ticks[-1])
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if isXAxis:
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ax.set_xlim(ticks[0], ticks[-1])
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else:
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ax.set_ylim(ticks[0], ticks[-1])
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result = [ticks[labels.index(v)] for v in value]
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ax.viewLim.ignore(-1)
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return result
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@staticmethod
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def default_units(value, axis):
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# docstring inherited
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# The default behavior for string indexing.
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return "indexed"
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