def __init__(self, fig=None, *args, **kwargs):
# Retrieve the series ...................
_series = kwargs.pop("series", getattr(fig, "series", None))
Subplot.__init__(self, fig, *args, **kwargs)
# Process options .......................
if _series is not None:
assert hasattr(_series, "dates")
self._series = _series.ravel()
self.xdata = self._series.dates
# TODO: Mmh, what's going on with the line below ?
self.xaxis.set_major_locator
else:
self._series = None
self.xdata = None
self._austoscale = False
# Get the data to plot
self.legendsymbols = []
self.legendlabels = []
# keep track of axis format and tick info
self.date_axis_info = None
# used to keep track of current view interval to determine if we need
# to reset date_axis_info
self.view_interval = None
def __init__(self, fig=None, *args, **kwargs):
# Retrieve the series ...................
_series = kwargs.pop('series', getattr(fig, 'series', None))
Subplot.__init__(self, fig, *args, **kwargs)
# Process options .......................
if _series is not None:
assert hasattr(_series, "dates")
self._series = _series.ravel()
self.xdata = self._series.dates
# TODO: Mmh, what's going on with the line below ?
self.xaxis.set_major_locator
else:
self._series = None
self.xdata = None
self._austoscale = False
# Get the data to plot
self.legendsymbols = []
self.legendlabels = []
# keep track of axis format and tick info
self.date_axis_info = None
# used to keep track of current view interval to determine if we need
# to reset date_axis_info
self.view_interval = None
def __init__(self, fig=None, *args, **kwargs):
"""
Accepts the same keywords as a standard subplot, plus a specific `series` keyword.
:Parameters:
`fig` : Figure
Base figure.
:Keywords:
`series` : TimeSeries
Data to plot
"""
# Retrieve the series ...................
_series = kwargs.pop('series',None)
Subplot.__init__(self,fig,*args,**kwargs)
# # Force fig to be defined .....
# if fig is None:
# fig = TSFigure(_series)
# Process options .......................
if _series is not None:
assert hasattr(_series, "dates")
self._series = _series.ravel()
self.xdata = _series.dates
self.freq = _series.dates.freq
self.xaxis.set_major_locator
else:
self._series = None
self.xdata = None
self.freq = None
self._austoscale = False
# Get the data to plot
self.legendsymbols = []
self.legendlabels = []
def __init__(self, fig=None, *args, **kwargs):
"""Initializes instance.
Parameters
----------
fig : {None, figure instance}
Figure from which the plot will depend.
If None, the current figure is selected.
series : ClimateSeries
Series to convert.
freq : {var}, optional
A valid frequency specifier (as a string or integer), or a 3-letter
string corresponding to the first quarter of the year.
Use this parameter if the series does not have an adequate frequency.
func : {None,function}, optional
Function controlling how data sharing the same new dates should be
manipulated.
This function should handle masked values appropriately.
kwargs : dictionary
Dictionary of optional parameters.
The same parameters as for a standard subplot instantiation are recognized.
See Also
--------
scikits.hydroclimpy.periodize
Function to convert a series into a 2D series with years as rows and
periods as columns.
"""
# Initialize the plot ..............
fig = fig or kwargs.pop('fig', None)
if fig is None:
fig = pyplot.gcf()
elif not isinstance(fig, Figure):
fig = pyplot.figure(fig)
if len(args) == 0:
args = (111,)
# Get the information about the series
if not hasattr(series, 'ensoindices'):
errmsg = "ENSO indices should be defined for the input series!"
raise AttributeError(errmsg)
series = kwargs.pop('series', None)
freq = kwargs.pop('freq', None)
func = kwargs.pop('func', None)
self.series = periodize(series, freq=freq, func=func)
self.cold = self.series.cold
self.neutral = self.series.neutral
self.warm = self.series.warm
self.freq = check_freq(self.series._dates.freq)
self.positions = np.arange(self.series.shape[-1])
self.periodlabels = self.series.optinfo['period_names']
Subplot.__init__(self, fig, *args, **kwargs)
def __init__(self, fig=None, *args, **kwargs):
"""Initializes instance.
Parameters
----------
fig : {None, figure instance}
Figure from which the plot will depend.
If None, the current figure is selected.
series : ClimateSeries
Series to convert.
freq : {var}, optional
A valid frequency specifier (as a string or integer), or a 3-letter
string corresponding to the first quarter of the year.
Use this parameter if the series does not have an adequate frequency.
func : {None,function}, optional
Function controlling how data sharing the same new dates should be
manipulated.
This function should handle masked values appropriately.
kwargs : dictionary
Dictionary of optional parameters.
The same parameters as for a standard subplot instantiation are recognized.
See Also
--------
scikits.hydroclimpy.periodize
Function to convert a series into a 2D series with years as rows and
periods as columns.
"""
# Initialize the plot ..............
fig = fig or kwargs.pop('fig', None)
if fig is None:
fig = pyplot.gcf()
elif not isinstance(fig, Figure):
fig = pyplot.figure(fig)
if len(args) == 0:
args = (111, )
# Get the information about the series
if not hasattr(series, 'ensoindices'):
errmsg = "ENSO indices should be defined for the input series!"
raise AttributeError(errmsg)
series = kwargs.pop('series', None)
freq = kwargs.pop('freq', None)
func = kwargs.pop('func', None)
self.series = periodize(series, freq=freq, func=func)
self.cold = self.series.cold
self.neutral = self.series.neutral
self.warm = self.series.warm
self.freq = check_freq(self.series._dates.freq)
self.positions = np.arange(self.series.shape[-1])
self.periodlabels = self.series.optinfo['period_names']
Subplot.__init__(self, fig, *args, **kwargs)
def __init__(self, find_source, parent, *args, **kwargs):
Subplot.__init__(self, parent.figure, *args, **kwargs)
self.signals = {}
self.parent = parent
self.paused = False
self.autoscale = True
self.static = False
self.find_source = find_source
self.set_title_action = QtGui.QAction("Set plot title", parent)
self.adjust_axes_action = QtGui.QAction("Adjust plot axes", parent)
self.adjust_signals_action = QtGui.QAction("Change signals plotted", parent)
link(self.set_title_action.triggered, self.adjust_title)
link(self.adjust_axes_action.triggered, self.adjust_axes)
link(self.adjust_signals_action.triggered, self.adjust_signals)
def __init__(self, fig=None, *args, **kwargs):
# Retrieve the series ...................
_series = kwargs.pop('series', getattr(fig, 'series', None))
Subplot.__init__(self, fig, *args, **kwargs)
# Process options .......................
self.set_series(series=_series)
self._austoscale = False
# Get the data to plot
self.legendsymbols = []
self.legendlabels = []
# keep track of axis format and tick info
self.date_axis_info = None
# used to keep track of current view interval to determine if we need
# to reset date_axis_info
self.view_interval = None
def __init__(self, fig, *args, **kwargs):
Subplot.__init__(self,fig,*args,**kwargs)
print "Hello, MultichannelSubplot here."
def __init__(self, fig, *args, **kwargs):
Subplot.__init__(self, fig, *args, **kwargs)
print "Hello, MultichannelSubplot here."
