def updatePlotDocstring(target):
"""
Changes the docstring of plot function to include all
plot options.
Parameters
----------
target: class or function
keyprhase: string searched for in docstring
"""
# Place import here to avoid circular dependencies
plot_options = str(po.PlotOptions())
def updateFunctionDocstring(func):
docstring = func.__doc__
if not po.EXPAND_KEYPHRASE in docstring:
msg = "Keyword not found in method: %s" \
% func.__name__
raise RuntimeError(msg)
new_docstring = \
docstring.replace(
po.EXPAND_KEYPHRASE, plot_options)
func.__doc__ = new_docstring
#
if "__call__" in dir(target):
# Handle a function
updateFunctionDocstring(target)
else:
# Update a class
cls = target
for name in dir(cls):
if name[0:4] == po.PLOT:
method = eval("cls.%s" % name)
updateFunctionDocstring(method)
def testSetAxes(self):
if IGNORE_TEST:
return
options = po.PlotOptions()
options.numCol = 4
options.numRow = 4
_, axes, _ = self.layout._setAxes()
if IS_PLOT:
plt.show()
def testSetAxes(self):
if IGNORE_TEST:
return
options = po.PlotOptions()
options.numCol = 4
options.numRow = 4
_, axes, _ = self.layout._setAxes()
self.assertEqual(len(self.layout.axisPositions), DEFAULT_NUM_PLOT)
if IS_PLOT:
plt.show()
def testSetAxes(self):
if IGNORE_TEST:
return
options = po.PlotOptions()
options.numCol = 4
options.numRow = 4
_, axes, _ = self.layout._setAxes()
corners = [a.get_position().corners() for a in axes]
self.assertEqual(corners[0][0][0], corners[1][0][0])
if IS_PLOT:
plt.show()
def _mkPlotOptionsMatrix(timeseries1, maxCol=None, **kwargs):
"""
Creates PlotOptions for a dense matrix of plots.
Parameters
----------
timeseries1: NamedTimeseries
isLowerTriangular: bool
is a lower triangular matix
maxCol: int
maximum number of columns
kwargs: dict
Returns
-------
PlotOptions
assigns values to options.numRow, options.numCol
"""
options = po.PlotOptions()
# bins
if po.BINS in kwargs.keys():
bins = kwargs[po.BINS]
else:
bins = None
options.bins = bins
# Second timeseries
if po.TIMESERIES2 in kwargs.keys():
options.timeseries2 = kwargs[po.TIMESERIES2]
if maxCol is None:
if po.COLUMNS in kwargs:
maxCol = len(kwargs[po.COLUMNS])
else:
maxCol = len(timeseries1.colnames)
# States
hasRow, hasCol = TimeseriesPlotter._getOptionValueState(
kwargs, options)
# Assignments based on state
if hasRow and hasCol:
# Have been assigned
pass
elif hasRow and (not hasCol):
options.numCol = int(maxCol / options.numRow)
elif (not hasRow) and hasCol:
options.numRow = int(maxCol / options.numCol)
else:
options.numRow = 1
options.numCol = maxCol
if maxCol > options.numRow * options.numCol:
options.numRow += 1
options.initialize(timeseries1, **kwargs)
#
return options
def _mkPlotOptionsLowerTriangular(timeseries1, numPlot, **kwargs):
"""
Creates PlotOptions for a lower triangular matrix of plots.
2*len(pairs) - N = N**2
Parameters
----------
timeseries1: NamedTimeseries
numPlot: int
kwargs: dict
Returns
-------
PlotOptions
assigns values to options.numRow, options.numCol
"""
options = po.PlotOptions()
if numPlot == 1:
options.numRow = 1
options.numCol = 1
options.initialize(timeseries1, **kwargs)
#
return options
def setUp(self):
options = po.PlotOptions()
options.numRow = 2 * DEFAULT_NUM_ROW
options.numCol = 3 * DEFAULT_NUM_COL
self.layout = lm.LayoutManagerMatrix(options, DEFAULT_NUM_PLOT)
def testConstructor(self):
options = po.PlotOptions()
options.numRow = 2 * DEFAULT_NUM_ROW
options.numCol = 3 * DEFAULT_NUM_COL
with self.assertRaises(RuntimeError):
_ = lm.LayoutManager(options, DEFAULT_NUM_PLOT)