[Scipy-svn] r2766 - in trunk/Lib/sandbox/timeseries: archived_version plotlib

scipy-svn@scip... scipy-svn@scip...
Tue Feb 27 08:01:43 CST 2007


Author: mattknox_ca
Date: 2007-02-27 08:01:41 -0600 (Tue, 27 Feb 2007)
New Revision: 2766

Added:
   trunk/Lib/sandbox/timeseries/archived_version/mpl_timeseries_matt.py
Removed:
   trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_matt.py
Log:
Moved remotely

Copied: trunk/Lib/sandbox/timeseries/archived_version/mpl_timeseries_matt.py (from rev 2765, trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_matt.py)

Deleted: trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_matt.py
===================================================================
--- trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_matt.py	2007-02-27 14:01:03 UTC (rev 2765)
+++ trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_matt.py	2007-02-27 14:01:41 UTC (rev 2766)
@@ -1,1006 +0,0 @@
-"""
-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 < 11: 
-        (min_spacing, maj_spacing) = (1, 1)
-    elif 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 _get_default_locs(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:
-            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_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_locs(self, vmin, vmax):
-        "Returns the default tick locations for daily data."
-        span = vmax - vmin + 1
-        dates = self._initialize_dates(vmin, vmax)
-        default = N.arange(vmin, vmax+1) 
-        
-        (min_anndef, maj_anndef) = _get_default_annual_spacing(span)
-
-        major_ticks = default[(dates.years % maj_anndef == 0)]
-
-        if self.isminor:
-            minor_ticks = default[(dates.years % min_anndef == 0)] 
-
-            self.fmt_strs = ['%Y']
-            self.label_flags = [major_ticks]
-            
-            return minor_ticks
-
-        return major_ticks
-
-
-#...............................................................................
-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_locs(self, vmin, vmax):
-        "Returns the default tick locations for daily data."
-
-        span = vmax - vmin + 1
-        dates = self._initialize_dates(vmin, vmax)
-        default = N.arange(vmin, vmax+1) 
-
-        if self.isminor:
-            self.fmt_strs, self.label_flags = [], []
-
-        if span <= 3 * 4:
-
-            major_ticks = default[(dates.year != (dates - 1).year)]
-
-            if self.isminor:
-
-                minor_ticks = default
-
-                self.fmt_strs.append('Q%q')
-                self.label_flags.append(default)
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        elif span <= 11 * 4:
-
-            major_ticks = default[(dates.year != (dates-1).year)]
-
-            if self.isminor:
-
-                minor_ticks = default
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        else:
-            
-            (min_anndef, maj_anndef) = _get_default_annual_spacing(span/4)
-            annual = (dates.year != (dates-1).year)
-
-            major_ticks = default[annual & (dates.years % maj_anndef == 0)]
-
-            if self.isminor:
-                _temp_idx = annual & (dates.years % min_anndef == 0)
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        if self.isminor:
-            if default.size > 0:
-                """ensure that at least one value for every
-                level of label is output"""
-                for x, lf in enumerate(self.label_flags):
-                    if lf.size == 0:
-                        self.label_flags[x] = default[0:1]
-            
-            return minor_ticks
-        return major_ticks
-
-#...............................................................................
-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_locs(self, vmin, vmax):
-        "Returns the default tick locations for monthly data."
-
-        span = vmax - vmin + 1
-        dates = self._initialize_dates(vmin, vmax)
-        default = N.arange(vmin, vmax+1) 
-
-        if self.isminor:
-            self.fmt_strs, self.label_flags = [], []
-
-        if span <= 1.5 * 12:
-            
-            major_ticks = default[(dates.year != (dates - 1).year)]
-            
-            if self.isminor:
-
-                minor_ticks = default
-
-                self.fmt_strs.append('%b')
-                self.label_flags.append(minor_ticks)
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        elif span <= 3 * 12:
-
-            major_ticks = default[(dates.year != (dates - 1).year)]
-            
-            if self.isminor:
-
-                minor_ticks = default
-
-                self.fmt_strs.append('%b')
-                self.label_flags.append(default[(dates.month - 1)% 2 == 0])
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        elif span <= 11 * 12:
-
-            major_ticks = default[(dates.year != (dates-1).year)]
-
-            if self.isminor:
-
-                minor_ticks = default[(dates.quarter != (dates - 1).quarter)]
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        else:
-            
-            (min_anndef, maj_anndef) = _get_default_annual_spacing(span/12)
-            annual = (dates.year != (dates-1).year)
-
-            major_ticks = default[annual & (dates.years % maj_anndef == 0)]
-
-            if self.isminor:
-                _temp_idx = annual & (dates.years % min_anndef == 0)
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        if self.isminor:
-            if default.size > 0:
-                """ensure that at least one value for every
-                level of label is output"""
-                for x, lf in enumerate(self.label_flags):
-                    if lf.size == 0:
-                        self.label_flags[x] = default[0:1]
-            
-            return minor_ticks
-        return major_ticks
-    
-    
-#...............................................................................
-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 self.isminor:
-            self.fmt_strs, self.label_flags = [], []
-
-        if span <= daysperyear//12:
-            
-            major_ticks = default[(dates.month != (dates-1).month)]
-            
-            if self.isminor:
-                minor_ticks = default
-                
-                self.fmt_strs.append('%d')
-                self.label_flags.append(minor_ticks)
-                
-                self.fmt_strs.append('%b')
-                self.label_flags.append(major_ticks)
-    
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(default[(dates.year != (dates-1).year)])
-            
-        elif span <= daysperyear//4:
-            
-            major_ticks = default[(dates.month != (dates-1).month)]
-            
-            if self.isminor:
-
-                minor_ticks = default
-
-                self.fmt_strs.append('%d')
-                self.label_flags.append(default[(dates.day_of_week == 1)])
-                
-                self.fmt_strs.append('%b')
-                self.label_flags.append(major_ticks)
-    
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(default[(dates.year != (dates-1).year)])
-
-        elif span <= 1.5 * daysperyear:
-            
-            _month_starts = (dates.month != (dates-1).month)
-            
-            major_ticks = default[_month_starts]            
-            
-            if self.isminor:
-
-                _temp_idx = (dates.day_of_week == 1) | _month_starts
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-                
-                self.fmt_strs.append('%b')
-                self.label_flags.append(major_ticks)
-                
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(default[(dates.year != (dates-1).year)])
-  
-
-        elif span <= 3 * daysperyear:
-
-            major_ticks = default[(dates.year != (dates-1).year)]
-
-            if self.isminor:
-                
-                _temp_idx = (dates.month != (dates-1).month)
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-                
-                self.fmt_strs.append('%b')
-                self.label_flags.append(default[(dates.quarter != (dates-1).quarter)])
-                
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        elif span <= 11 * daysperyear:
-
-            major_ticks = default[(dates.year != (dates-1).year)]
-
-            if self.isminor:
-
-                _temp_idx = (dates.quarter != (dates-1).quarter)
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        else:
-            (min_anndef, maj_anndef) = _get_default_annual_spacing(span/daysperyear)
-            annual = (dates.year != (dates-1).year)
-
-            major_ticks = default[annual & (dates.years % maj_anndef == 0)]
-
-            if self.isminor:
-                _temp_idx = annual & (dates.years % min_anndef == 0)
-                if _temp_idx.size > 0: _temp_idx[0] = True
-                minor_ticks = default[_temp_idx]
-
-                self.fmt_strs.append('%Y')
-                self.label_flags.append(major_ticks)
-
-        if self.isminor:
-            
-            if default.size > 0:
-                """ensure that at least one value for every
-                level of label is output"""
-                for x, lf in enumerate(self.label_flags):
-                    if lf.size == 0:
-                        self.label_flags[x] = default[0:1]
-            
-            return minor_ticks
-        return major_ticks
-     
-
-#...............................................................................
-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, locator=None):
-        if fmt is None:
-            fmt = Date.default_fmtstr[freq]
-        self.fmt = fmt
-        self.freqstr = freq
-        self.locator = locator
-    
-    def __call__(self, x, pos=0):
-        
-        if self.locator is not None:
-            lc = self.locator
-
-            if lc.isminor:
-                nls = '\n'
-                retval = ''
-                for flags, fmt in zip(lc.label_flags, lc.fmt_strs):
-                    if N.where(flags == x)[0].size > 0:
-                        retval += Date(self.freqstr, value=int(x)).strfmt(fmt) + nls
-                    else:
-                        retval += nls
-                retval = retval.rstrip(nls)
-            else:
-                retval = ''
-        else:
-            retval = Date(self.freqstr, value=int(x)).strfmt(self.fmt)
-
-        return retval
-
-
-#####--------------------------------------------------------------------------
-#---- --- 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=False):
-        """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
-            major_locator = locator(self.freqstr, 
-                                    minor_locator=False, 
-                                    dynamic_mode=True)
-            minor_locator = locator(self.freqstr, 
-                                    minor_locator=True, 
-                                    dynamic_mode=True)
-            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
-            major_locator = locator(minor_locator=False, 
-                                    dynamic_mode=True)
-            minor_locator = locator(minor_locator=True, 
-                                    dynamic_mode=True)
-
-        self.xaxis.set_major_locator(major_locator)
-        self.xaxis.set_minor_locator(minor_locator)
-        #........................................
-        self.xaxis.set_major_formatter(
-           TimeSeries_DateFormatter(self.freqstr, locator=major_locator))
-        self.xaxis.set_minor_formatter(
-           TimeSeries_DateFormatter(self.freqstr, locator=minor_locator))
-           
-        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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