[Scipy-svn] r2686 - trunk/Lib/sandbox/timeseries/plotlib
scipy-svn at scipy.org
scipy-svn at scipy.org
Tue Feb 6 23:53:30 EST 2007
Author: pierregm
Date: 2007-02-06 22:53:28 -0600 (Tue, 06 Feb 2007)
New Revision: 2686
Added:
trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_new.py
Log:
Added: trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_new.py
===================================================================
--- trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_new.py 2007-02-07 04:53:19 UTC (rev 2685)
+++ trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_new.py 2007-02-07 04:53:28 UTC (rev 2686)
@@ -0,0 +1,775 @@
+"""
+Classes to plot TimeSeries w/ matplotlib.
+
+:author: Pierre GF Gerard-Marchant
+:contact: pierregm_at_uga_edu
+:date: $Date: 2007-02-02 23:19:06 -0500 (Fri, 02 Feb 2007) $
+:version: $Id: mpl_timeseries.py 2676 2007-02-03 04:19:06Z pierregm $
+"""
+__author__ = "Pierre GF Gerard-Marchant ($Author: pierregm $)"
+__version__ = '1.0'
+__revision__ = "$Revision: 2676 $"
+__date__ = '$Date: 2007-02-02 23:19:06 -0500 (Fri, 02 Feb 2007) $'
+
+
+import matplotlib
+from matplotlib import pylab, rcParams
+from matplotlib.artist import setp
+from matplotlib.axes import Subplot, PolarSubplot
+from matplotlib.cbook import flatten
+from matplotlib.collections import LineCollection
+from matplotlib.contour import ContourSet
+from matplotlib.dates import DayLocator, MonthLocator, YearLocator, \
+ DateFormatter
+from matplotlib.figure import Figure
+from matplotlib.legend import Legend
+from matplotlib.mlab import meshgrid
+from matplotlib.ticker import Formatter, ScalarFormatter, FuncFormatter, \
+ Locator, FixedLocator
+
+#from matplotlib.transforms import nonsingular
+
+import numpy as N
+import maskedarray as MA
+
+import timeseries
+from timeseries import date_array, Date, DateArray, TimeSeries
+#from tdates import date_array, Date
+#import tseries
+#from tseries import TimeSeries
+
+import warnings
+
+#####---------------------------------------------------------------------------
+#---- --- Matplotlib extensions ---
+#####---------------------------------------------------------------------------
+
+def add_generic_subplot(figure_instance, *args, **kwargs):
+ """Generalizes the `add_subplot` figure method to generic subplots.
+The specific Subplot object class to add is given through the keywords
+`SubplotClass` or `class`.
+
+:Parameters:
+ `figure_instance` : Figure object
+ Figure to which the generic subplot should be attached.
+ `args` : Misc
+ Miscellaneous arguments to the subplot.
+ `kwargs` : Dictionary
+ Keywords. Same keywords as `Subplot`, with the addition of
+ - `SubplotClass` : Type of subplot
+ - `subclass` : Shortcut to `SubplotClass`.
+ - any keyword required by the `SubplotClass` subclass.
+ """
+
+ key = figure_instance._make_key(*args, **kwargs)
+ #TODO: Find why, sometimes, key is not hashable (even if tuple)
+ # else, there's a fix below
+ try:
+ key.__hash__()
+ except TypeError:
+ key = str(key)
+ #
+ if figure_instance._seen.has_key(key):
+ ax = figure_instance._seen[key]
+ figure_instance.sca(ax)
+ return ax
+ #
+ if not len(args):
+ return
+# if hasattr(args[0], '__array__'):
+# fixedargs = args[1:]
+# else:
+# fixedargs = args
+ #
+ SubplotClass = kwargs.pop("SubplotClass", Subplot)
+ SubplotClass = kwargs.pop("subclass",SubplotClass)
+ if isinstance(args[0], Subplot) or isinstance(args[0], PolarSubplot):
+ a = args[0]
+ assert(a.get_figure() is figure_instance)
+# a.set_figure(figure_instance)
+ else:
+ ispolar = kwargs.pop('polar', False)
+ if ispolar:
+ a = PolarSubplot(figure_instance, *args, **kwargs)
+ else:
+ a = SubplotClass(figure_instance, *args, **kwargs)
+
+ figure_instance.axes.append(a)
+ figure_instance._axstack.push(a)
+ figure_instance.sca(a)
+ figure_instance._seen[key] = a
+ return a
+
+
+def nonsingular(vmin, vmax, expander=0.001, tiny=1e-15, increasing=True):
+ '''
+ Ensure the endpoints of a range are not too close together.
+
+ "too close" means the interval is smaller than 'tiny' times
+ the maximum absolute value.
+
+ If they are too close, each will be moved by the 'expander'.
+ If 'increasing' is True and vmin > vmax, they will be swapped.
+ '''
+ #TODO: Remove that when matplotlib incorporate it by default
+ swapped = False
+ if vmax < vmin:
+ vmin, vmax = vmax, vmin
+ swapped = True
+ if vmax - vmin <= max(abs(vmin), abs(vmax)) * tiny:
+ if vmin == 0.0:
+ vmin = -expander
+ vmax = expander
+ else:
+ vmin -= expander*abs(vmin)
+ vmax += expander*abs(vmax)
+ if swapped and not increasing:
+ vmin, vmax = vmax, vmin
+ return vmin, vmax
+
+##### -------------------------------------------------------------------------
+#---- --- Locators ---
+##### -------------------------------------------------------------------------
+
+def _get_default_annual_spacing(nyears):
+ """Returns a default spacing between consecutive ticks for annual data."""
+ if nyears < 20:
+ (min_spacing, maj_spacing) = (1, 2)
+ elif nyears < 50:
+ (min_spacing, maj_spacing) = (1, 5)
+ elif nyears < 100:
+ (min_spacing, maj_spacing) = (5, 10)
+ elif nyears < 200:
+ (min_spacing, maj_spacing) = (5, 20)
+ elif nyears < 400:
+ (min_spacing, maj_spacing) = (5, 25)
+ elif nyears < 1000:
+ (min_spacing, maj_spacing) = (10, 50)
+ else:
+ (min_spacing, maj_spacing) = (20, 100)
+ return (min_spacing, maj_spacing)
+
+def _get_default_quarterly_spacing(nquarters):
+ """Returns a default spacing between consecutive ticks for quarterly data."""
+ if nquarters <= 3*4:
+ (min_spacing, maj_spacing) = (1,4)
+ elif nquarters <= 11*4:
+ (min_spacing, maj_spacing) = (1,4)
+ else:
+ (min_anndef, maj_anndef) = _get_default_annual_spacing(nquarters//4)
+ min_spacing = min_anndef * 4
+ maj_spacing = maj_anndef * 4
+ return (min_spacing, maj_spacing)
+
+def _get_default_monthly_spacing(nmonths):
+ """Returns a default spacing between consecutive ticks for monthly data."""
+ if nmonths <= 10:
+ (min_spacing, maj_spacing) = (1,3)
+ elif nmonths <= 2*12:
+ (min_spacing, maj_spacing) = (1,6)
+ elif nmonths <= 3*12:
+ (min_spacing, maj_spacing) = (1,12)
+ elif nmonths <= 11*12:
+ (min_spacing, maj_spacing) = (3,12)
+ else:
+ (min_anndef, maj_anndef) = _get_default_annual_spacing(nmonths//12)
+ min_spacing = min_anndef * 12
+ maj_spacing = maj_anndef * 12
+ return (min_spacing, maj_spacing)
+
+#...............................................................................
+class TimeSeries_DateLocator(Locator):
+ "Locates the ticks along an axis controlled by a DateArray."
+
+ def __init__(self, freq, minor_locator=False, dynamic_mode=True,
+ base=1, quarter=1, month=1, day=1):
+ self.freqstr = freq
+ self.base = base
+ (self.quarter, self.month, self.day) = (quarter, month, day)
+ self.isminor = minor_locator
+ self.isdynamic = dynamic_mode
+ self.offset = 0
+
+ def _initialize_dates(self, start_val, end_val):
+ "Returns a DateArray for the current frequency."
+ freq = self.freqstr
+ dates = date_array(start_date=Date(freq, value=int(start_val)),
+ end_date=Date(freq, value=int(end_val)),
+ freq=freq)
+ return dates
+
+ def _get_default_spacing(self, span):
+ "Returns the default ticks spacing."
+ raise NotImplementedError('Derived must override')
+
+ def __call__(self):
+ 'Return the locations of the ticks.'
+ self.verify_intervals()
+ vmin, vmax = self.viewInterval.get_bounds()
+ if vmax < vmin:
+ vmin, vmax = vmax, vmin
+ if self.isdynamic:
+ base = self._get_default_spacing(vmax-vmin+1)
+ else:
+ base = self.base
+ d = vmin // base
+ vmin = (d+1) * base + self.offset
+ locs = range(vmin, vmax+1, base)
+ return locs
+
+ def autoscale(self):
+ """Sets the view limits to the nearest multiples of base that contain
+ the data.
+ """
+ self.verify_intervals()
+ dmin, dmax = self.dataInterval.get_bounds()
+ if self.isdynamic:
+ base = self._get_default_spacing(dmax-dmin+1)
+ else:
+ base = self.base
+ (d,m) = divmod(dmin, base)
+ if m < base/2:
+ vmin = d * base
+ else:
+ vmin = (d+1) * base
+ (d,m) = divmod(dmax, base)
+ vmax = (d+1) * base
+ if vmin == vmax:
+ vmin -= 1
+ vmax += 1
+ return nonsingular(vmin, vmax)
+
+#...............................................................................
+class TimeSeries_AnnualLocator(TimeSeries_DateLocator):
+ "Locates the ticks along an axis controlled by an annual DateArray."
+
+ def __init__(self, minor_locator=False, dynamic_mode=True,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self,'A', minor_locator, dynamic_mode,
+ base, quarter, month, day)
+
+ def _get_default_spacing(self, span):
+ "Returns the default tick spacing for annual data."
+ (minor, major) = _get_default_annual_spacing(span)
+ if self.isminor:
+ return minor
+ return major
+#...............................................................................
+class TimeSeries_QuarterlyLocator(TimeSeries_DateLocator):
+ "Locates the ticks along an axis controlled by a quarterly DateArray."
+
+ def __init__(self, minor_locator=False, dynamic_mode=True,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self,'Q', minor_locator, dynamic_mode,
+ base, quarter, month, day)
+ self.offset=1
+
+ def _get_default_spacing(self, span):
+ "Returns the default tick spacing for quarterly data."
+ (minor, major) = _get_default_quarterly_spacing(span)
+ if self.isminor:
+ return minor
+ return major
+#...............................................................................
+class TimeSeries_MonthlyLocator(TimeSeries_DateLocator):
+ "Locates the ticks along an axis controlled by a monthly DateArray."
+
+ def __init__(self, minor_locator=False, dynamic_mode=True,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self,'M', minor_locator, dynamic_mode,
+ base, quarter, month, day)
+ self.offset = 1
+
+ def _get_default_spacing(self, span):
+ "Returns the default tick spacing for monthly data."
+ (minor, major) = _get_default_monthly_spacing(span)
+ if self.isminor:
+ return minor
+ return major
+
+#...............................................................................
+class TimeSeries_DailyLocator(TimeSeries_DateLocator):
+ "Locates the ticks along an axis controlled by a daily DateArray."
+
+ def __init__(self, freq, minor_locator=False, dynamic_mode=True,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self, freq, minor_locator, dynamic_mode,
+ base, quarter, month, day)
+ if self.freqstr == 'B':
+ self.daysinyear = 261
+ else:
+ self.daysinyear = 365
+ self._cacheddates = None
+
+ def _get_default_locs(self, vmin, vmax):
+ "Returns the default tick locations for daily data."
+ daysperyear = self.daysinyear
+ span = vmax - vmin + 1
+ dates = self._initialize_dates(vmin, vmax)
+ default = N.arange(vmin, vmax+1)
+ #
+ if span <= daysperyear//12:
+ minor = default
+ major = default[(dates.day_of_week == 1)]
+ elif span <= daysperyear//3:
+ minor = default[(dates.day_of_week == 1)]
+ major = default[(dates.day == 1)]
+ elif span <= 1.5 * daysperyear:
+ minor = default[(dates.day_of_week == 1)]
+ major = default[(dates.day == 1)]
+ elif span <= 3 * daysperyear:
+ minor = default[(dates.day == 1)]
+ major = default[(dates.day_of_year == 1)]
+ elif span <= 11 * daysperyear:
+ minor = default[(dates.quarter != (dates-1).quarter)]
+ major = default[(dates.day_of_year == 1)]
+ else:
+ (min_anndef, maj_anndef) = _get_default_annual_spacing(span/daysperyear)
+ annual = (dates.day_of_year == 1)
+ minor = default[annual & (dates.years % min_anndef == 0)]
+ major = default[annual & (dates.years % maj_anndef == 0)]
+ if self.isminor:
+ return minor
+ return major
+
+ def __call__(self):
+ 'Return the locations of the ticks'
+ self.verify_intervals()
+ vmin, vmax = self.viewInterval.get_bounds()
+ if vmax < vmin:
+ vmin, vmax = vmax, vmin
+ if self.isdynamic:
+ locs = self._get_default_locs(vmin, vmax)
+ else:
+ base = self.base
+ (d,m) = divmod(vmin, base)
+ vmin = (d+1) * base
+ locs = range(vmin, vmax+1, base)
+ return locs
+
+ def autoscale(self):
+ """Sets the view limits to the nearest multiples of base that contain
+ the data.
+ """
+ self.verify_intervals()
+ dmin, dmax = self.dataInterval.get_bounds()
+ locs = self._get_default_locs(dmin, dmax)
+ (vmin, vmax) = locs[[0,-1]]
+ if vmin == vmax:
+ vmin -= 1
+ vmax += 1
+ return nonsingular(vmin, vmax)
+
+#...............................................................................
+class TimeSeries_YearLocator(TimeSeries_DateLocator):
+ """Locates ticks along a Date axis, for each (multiple of) year.
+
+:Ivariables:
+ - `base` : Integer
+ Gives the spacing between two consecutive annual ticks.
+ - `quarter` : Integer *[1]*
+ Tells on which quarter the ticks should be.
+ - `month` : Integer *[1]*
+ Tells on which month the ticks should be.
+ - `day` : Integer *[1]*
+ Tells on which day the ticks should be.
+ """
+ def __init__(self, freq, minor_locator=False,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self, freq, minor_locator, False,
+ base, quarter, month, day)
+
+ def __call__(self):
+ self.verify_intervals()
+ vmin, vmax = self.viewInterval.get_bounds()
+ freq = self.freqstr
+ if freq == 'A':
+ return range(vmin, vmax+1, self.base)
+ else:
+ dates = self._initialize_dates()
+ if freq == 'Q':
+ locs = (dates.quarters == self.quarter)
+ elif freq == 'M':
+ locs = (dates.months == self.month)
+ elif freq in 'BDU':
+ locs = (dates.months == self.month) & (dates.day == self.day)
+ if self.base > 1:
+ locs &= (locs.cumsum() % self.base == 1)
+ return dates.tovalue()[locs]
+#...............................................
+class TimeSeries_QuarterLocator(TimeSeries_DateLocator):
+ """Locates ticks along a Date axis, for each (multiple of) quarter.
+
+:Ivariables:
+ - `base` : Integer
+ Gives the spacing between two consecutive quarter ticks.
+ - `month` : Integer *[1]*
+ Tells on which month the ticks should be.
+ - `day` : Integer *[1]*
+ Tells on which day the ticks should be.
+ """
+
+ def __init__(self, freq, minor_locator=False,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self, freq, minor_locator, False,
+ base, quarter, month, day)
+
+ def __call__(self):
+ self.verify_intervals()
+ vmin, vmax = self.viewInterval.get_bounds()
+ freq = self.freqstr
+ if freq == 'A':
+ msg = "The current frequency ('%s') is too coarse!" % freq
+ raise ValueError, msg
+ elif freq == 'Q':
+ return range(vmin, vmax+1, self.base)
+ else:
+ dates = self._initialize_dates()
+ values = dates.tovalue()
+ if freq == 'M':
+ locs = (dates.months % 4 == self.month)
+ elif freq in 'BDU':
+ locs = (dates.months % 4 == self.month) & (dates.day == self.day)
+ if self.base > 1:
+ locs &= (locs.cumsum() % self.base == 1)
+ return values[locs]
+#...............................................................................
+class TimeSeries_MonthLocator(TimeSeries_DateLocator):
+ """Locates ticks along a Date axis, for each (multiple of) month.
+
+:Ivariables:
+ - `base` : Integer
+ Gives the spacing between two consecutive quarter ticks.
+ - `month` : Integer *[1]*
+ Tells on which month the ticks should be.
+ - `day` : Integer *[1]*
+ Tells on which day the ticks should be.
+ """
+
+ def __init__(self, freq, minor_locator=False,
+ base=1, quarter=1, month=1, day=1):
+ TimeSeries_DateLocator.__init__(self, freq, minor_locator, False,
+ base, quarter, month, day)
+
+ def __call__(self):
+ self.verify_intervals()
+ vmin, vmax = self.viewInterval.get_bounds()
+ freq = self.freqstr
+ if freq == 'AQ':
+ msg = "The current frequency ('%s') is too coarse!" % freq
+ raise ValueError, msg
+ elif freq == 'M':
+ return range(vmin, vmax+1, self.base)
+ else:
+ dates = self._initialize_dates()
+ values = dates.tovalue()
+ if freq in 'BDU':
+ locs = (dates.months == self.month) & (dates.day == self.day)
+ if self.base > 1:
+ locs &= (locs.cumsum() % self.base == 1)
+ return values[locs]
+
+#####---------------------------------------------------------------------------
+#---- --- Formatter ---
+#####---------------------------------------------------------------------------
+class TimeSeries_DateFormatter(Formatter):
+ """Formats the ticks along a DateArray axis."""
+
+ def __init__(self, freq, fmt=None):
+ if fmt is None:
+ fmt = Date.default_fmtstr[freq]
+ self.fmt = fmt
+ self.freqstr = freq
+
+ def __call__(self, x, pos=0):
+ return Date(self.freqstr, value=int(x)).strfmt(self.fmt)
+
+
+#####--------------------------------------------------------------------------
+#---- --- TimeSeries plots ---
+#####--------------------------------------------------------------------------
+class TimeSeriesPlot(Subplot, object):
+ """Defines a time series based subclass of Subplot."""
+ 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.freqstr = _series.dates.freqstr
+ self.xaxis.set_major_locator
+
+ else:
+ self._series = None
+ self.xdata = None
+ self.freqstr = None
+ self._austoscale = False
+ # Get the data to plot
+ self.legendsymbols = []
+ self.legendlabels = []
+ #............................................
+ def set_ydata(self, series=None):
+ """Sets the base time series."""
+ if self._series is not None:
+ print "WARNING ! Base series is being changed."""
+ self._series = series.ravel()
+ if isinstance(series, TimeSeries):
+ self.xdata = self.series.dates
+ #....
+ def get_ydata(self):
+ """Gets the base time series."""
+ return self._series
+ ydata = property(fget=get_ydata, fset=set_ydata, doc='Time series')
+ #............................................
+ def _check_plot_params(self,*args):
+ """Defines the plot coordinates (and basic plotting arguments)."""
+ remaining = list(args)
+ # No args ? Use defaults, if any
+ if len(args) == 0:
+ if self.xdata is None:
+ raise ValueError, "No date information available!"
+ return (self.xdata, self.ydata)
+ output = []
+ while len(remaining) > 0:
+ a = remaining.pop(0)
+ # The argument is a format: use default dates/
+ if isinstance(a,str):
+ if self.xdata is None:
+ raise ValueError, "No date information available!"
+ else:
+ output.extend([self.xdata, self.ydata, a])
+ # The argument is a TimeSeries: use its dates for x
+ elif isinstance(a, TimeSeries):
+ (x,y) = (a._dates, a._series)
+ if len(remaining) > 0 and isinstance(remaining[0], str):
+ b = remaining.pop(0)
+ output.extend([x,y,b])
+ else:
+ output.extend([x,y])
+ # The argument is a DateArray............
+ elif isinstance(a, (Date, DateArray)):
+ # Force to current freq
+ if self.freqstr is not None:
+ if a.freqstr != self.freqstr:
+ a = a.asfreq(self.freqstr)
+ # There's an argument after
+ if len(remaining) > 0:
+ #...and it's a format string
+ if isinstance(remaining[0], str):
+ b = remaining.pop(0)
+ if self.ydata is None:
+ raise ValueError, "No data information available!"
+ else:
+ output.extend([a, self.ydata, b])
+ #... and it's another date: use the default
+ elif isinstance(remaining[0], DateArray):
+ if self.ydata is None:
+ raise ValueError, "No data information available!"
+ else:
+ output.extend([a, self.ydata])
+ #... and it must be some data
+ else:
+ b = remaining.pop(0)
+ if len(remaining) > 0:
+ if isinstance(remaining[0], str):
+ c = remaining.pop(0)
+ output.extend([a,b,c])
+ else:
+ output.extend([a,b])
+ # continue
+ else:
+ if self.ydata is None:
+ raise ValueError, "No data information available!"
+ #else:
+ # break
+ # Otherwise..............................
+ elif len(remaining) > 0:
+ if isinstance(remaining[0], str):
+ b = remaining.pop(0)
+ if self.xdata is None:
+ raise ValueError, "No date information available!"
+ else:
+ output.extend([self.xdata, a, b])
+ #continue
+ elif self.xdata is None:
+ raise ValueError, "No date information available!"
+ else:
+ output.extend([self.xdata, a])
+ #continue
+ # Reinitialize the plot if needed ...........
+ if self.xdata is None:
+ self.xdata = output[0]
+ self.freqstr = self.xdata.freqstr
+ # Force the xdata to the current frequency
+ elif output[0].freqstr != self.freqstr:
+ output = list(output)
+ output[0] = output[0].asfreq(self.freqstr)
+ return output
+ #............................................
+ def tsplot(self,*parms,**kwargs):
+ """Plots the data parsed in argument.
+This command accepts the same keywords as `matplotlib.plot`."""
+ #print "Parameters: %s - %i" % (parms, len(parms))
+ parms = self._check_plot_params(*parms)
+ self.legendlabels.append(kwargs.get('label',None))
+ Subplot.plot(self, *parms,**kwargs)
+ pylab.draw_if_interactive()
+# #............................................
+# def ybaseline(self,ybase,**kwargs):
+# """Plots an horizontal baseline on each subplot."""
+# self.axhline(ybase,**kwargs)
+ #............................................
+ def format_dateaxis(self,maj_spacing=None, min_spacing=None,
+ strformat="%Y", rotate=True):
+ """Pretty-formats the date axis (x-axis).
+
+:Parameters:
+ `major` : Integer *[5]*
+ Major tick locator, in years (major tick every `major` years).
+ `minor` : Integer *[12]*
+ Minor tick locator, in months (minor ticks every `minor` months).
+ `strformat` : String *['%Y']*
+ String format for major ticks ("%Y").
+ """
+ # Get the locator class .................
+ if self.freqstr in 'BDU':
+ locator = TimeSeries_DailyLocator
+ self.xaxis.set_major_locator(locator(self.freqstr,
+ minor_locator=False,
+ dynamic_mode=True))
+ self.xaxis.set_minor_locator(locator(self.freqstr,
+ minor_locator=True,
+ dynamic_mode=True))
+ else:
+ if self.freqstr == 'A':
+ locator = TimeSeries_AnnualLocator
+ elif self.freqstr == 'Q':
+ locator = TimeSeries_QuarterlyLocator
+ elif self.freqstr == 'M':
+ locator = TimeSeries_MonthlyLocator
+ self.xaxis.set_major_locator(locator(minor_locator=False,
+ dynamic_mode=True))
+ self.xaxis.set_minor_locator(locator(minor_locator=True,
+ dynamic_mode=True))
+ #........................................
+ self.xaxis.set_major_formatter(TimeSeries_DateFormatter(self.freqstr))
+ if rcParams['backend'] == 'PS':
+ rotate = False
+ warnings.warn("dateplot: PS backend detected, rotate disabled")
+ if self.is_last_row():
+ if rotate:
+ setp(self.get_xticklabels(),rotation=45)
+# self.xaxis.set_major_formatter(FuncFormatter(self.dateticks_formatter))
+# self.xaxis.set_minor_formatter(FuncFormatter(self.dateticks_formatter))
+# else:
+# self.set_xticklabels([])
+# self.set_xlabel('')
+# #............................................
+# def plot_shifts(self,shifts,**kwargs):
+# """Plots regime shifts.
+#:param shifts: Shifts/trends to plot.
+#:type shifts: `RegimeShift`
+# """
+# self.tsplot(self.xdata,shifts.regimes,**kwargs)
+# for x in shifts.xshifts[0]:
+# self.axvline(self.xdata[x],ls=':',c='#999999',lw=0.5)
+ #............................................
+TSPlot = TimeSeriesPlot
+
+
+#####--------------------------------------------------------------------------
+#---- --- TimeSeries Figures ---
+#####--------------------------------------------------------------------------
+class TimeSeriesFigure(Figure):
+ """Time Series Figure: all subplots share the same time series.
+ """
+ def __init__(self, series=None, **kwargs):
+ self._series = series
+ Figure.__init__(self,**kwargs)
+ fspnum = kwargs.pop('fspnum',None)
+ if fspnum is not None:
+ self.add_tsplot(fspnum, series=series)
+ #.........
+ def add_tsplot(self, *args, **kwargs):
+ """Adds a `TimeSeriesPlot` subplot to the figure."""
+ kwargs.update(SubplotClass=TimeSeriesPlot,
+ series=self._series)
+ return add_generic_subplot(self, *args, **kwargs)
+ add_plot = add_tsplot
+TSFigure = TimeSeriesFigure
+#Figure.add_tsplot =
+#................................................
+def tsfigure(series, **figargs):
+ """Creates a new `TimeSeriesFigure` object.
+
+:Parameters:
+ `series` : TimeSeries object
+ Input data.
+ `figargs` : Dictionary
+ Figure options [`figsize`, `dpi`, `facecolor`, `edgecolor`, `frameon`].
+ """
+ figargs.update(FigureClass=TSFigure)
+ figargs.update(series=series)
+# print "figargs:",figargs
+# num = figargs.pop('num',None)
+ fig = pylab.figure(**figargs)
+ return fig
+
+def add_tsplot(axes, *args, **kwargs):
+ kwargs.update(SubplotClass=TimeSeriesPlot)
+ if 'series' not in kwargs.keys():
+ kwargs['series'] = None
+ return add_generic_subplot(axes, *args, **kwargs)
+Figure.add_tsplot = add_tsplot
+
+
+def tsplot(*args, **kwargs):
+ # allow callers to override the hold state by passing hold=True|False
+ b = pylab.ishold()
+ h = kwargs.pop('hold', None)
+ if h is not None:
+ pylab.hold(h)
+ try:
+ ret = pylab.gca().add_tsplot(*args, **kwargs)
+ pylab.draw_if_interactive()
+ except:
+ pylab.hold(b)
+ raise
+
+ pylab.hold(b)
+ return ret
+
+################################################################################
+if __name__ == '__main__':
+
+ da = date_array(start_date=Date(freq='D', year=2003, quarter=3, month=1, day=17),
+ length=51)
+ ser = timeseries.time_series(MA.arange(len(da)), dates=da)
+ ser[4] = MA.masked
+ ser_2 = timeseries.time_series(MA.arange(len(da)), dates=da.asfreq('M'))
+
+ pylab.figure()
+ pylab.gcf().add_tsplot(111)
+ pylab.gca().tsplot(ser, 'ko-')
+ pylab.gca().format_dateaxis()
+ pylab.gca().tsplot(ser_2, 'rs')
+ pylab.show()
+
\ No newline at end of file
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