[Scipy-svn] r2770 - in trunk/Lib/sandbox/timeseries: archived_version plotlib
scipy-svn at scipy.org
scipy-svn at scipy.org
Tue Feb 27 09:05:20 EST 2007
Author: mattknox_ca
Date: 2007-02-27 08:05:18 -0600 (Tue, 27 Feb 2007)
New Revision: 2770
Added:
trunk/Lib/sandbox/timeseries/archived_version/mpl_timeseries_pgm.py
Removed:
trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_pgm.py
Log:
Moved remotely
Copied: trunk/Lib/sandbox/timeseries/archived_version/mpl_timeseries_pgm.py (from rev 2769, trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_pgm.py)
Deleted: trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_pgm.py
===================================================================
--- trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_pgm.py 2007-02-27 14:05:02 UTC (rev 2769)
+++ trunk/Lib/sandbox/timeseries/plotlib/mpl_timeseries_pgm.py 2007-02-27 14:05:18 UTC (rev 2770)
@@ -1,832 +0,0 @@
-"""
-Classes to plot TimeSeries w/ matplotlib.
-
-:author: Pierre GF Gerard-Marchant & Matt Knox
-:contact: pierregm_at_uga_dot_edu - mattknow_ca_at_hotmail_dot_com
-:date: $Date$
-:version: $Id$
-"""
-__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author$)"
-__version__ = '1.0'
-__revision__ = "$Revision$"
-__date__ = '$Date$'
-
-
-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
-import timeseries as TS
-from timeseries import date_array, Date, DateArray, 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, 25)
- elif nyears < 600:
- (min_spacing, maj_spacing) = (10, 50)
- else:
- factor = nyears // 1000 + 1
- (min_spacing, maj_spacing) = (factor*20, factor*100)
- return (min_spacing, maj_spacing)
-
-
-def period_break(dates, period):
- """Returns the indices where the given period changes.
-
-:Parameters:
- dates : DateArray
- Array of dates to monitor.
- period : string
- Name of the period to monitor.
- """
- current = getattr(dates, period)
- previous = getattr(dates-1, period)
- return (current - previous).nonzero()[0]
-
-def has_level_label(label_flags):
- """returns true if the label_flags indicate there is at least
-one label for this level"""
- if label_flags.size == 0 or \
- (label_flags.size == 1 and label_flags[0] == 0):
- return False
- else:
- return True
-
-def _daily_finder(vmin, vmax, freq, aslocator):
-
- if freq == TS.FR_BUS:
- periodsperyear = 261
- elif freq == TS.FR_DAY:
- periodsperyear = 365
- else:
- raise ValueError("unexpected frequency")
-
- (vmin, vmax) = (int(vmin), int(vmax))
- span = vmax - vmin + 1
- dates = date_array(start_date=Date(freq,vmin),
- end_date=Date(freq, vmax))
- default = N.arange(vmin, vmax+1)
- # Initialize the output
- if not aslocator:
- format = N.empty(default.shape, dtype="|S10")
- format.flat = ''
-
- def first_label(label_flags):
- if label_flags[0] == 0: return label_flags[1]
- else: return label_flags[0]
-
- # Case 1. Less than a month
- if span <= (periodsperyear//12 - 2):
- month_start = period_break(dates,'month')
- if aslocator:
- major = default[month_start]
- minor = default
- else:
- year_start = period_break(dates,'year')
- format[:] = '%d'
- format[month_start] = '%d\n%b'
- format[year_start] = '%d\n%b\n%Y'
- if not has_level_label(year_start):
- if not has_level_label(month_start):
- if dates.size > 1:
- idx = 1
- else:
- idx = 0
- format[idx] = '%d\n%b\n%Y'
- else:
- format[first_label(month_start)] = '%d\n%b\n%Y'
- # Case 2. Less than three months
- elif span <= periodsperyear//4:
- month_start = period_break(dates,'month')
- if aslocator:
- major = default[month_start]
- minor = default
- else:
- week_start = period_break(dates,'week')
- year_start = period_break(dates,'year')
-
- format[week_start] = '%d'
- format[month_start] = '\n\n%b'
- format[year_start] = '\n\n%b\n%Y'
- if not has_level_label(year_start):
- if not has_level_label(month_start):
- format[first_label(week_start)] = '\n\n%b\n%Y'
- else:
- format[first_label(month_start)] = '\n\n%b\n%Y'
- # Case 3. Less than 14 months ...............
- elif span <= 1.15 * periodsperyear:
-
- if aslocator:
- d_minus_1 = dates-1
-
- month_diff = N.abs(dates.month - d_minus_1.month)
- week_diff = N.abs(dates.week - d_minus_1.week)
- minor_idx = (month_diff + week_diff).nonzero()[0]
-
- major = default[month_diff != 0]
- minor = default[minor_idx]
- else:
- year_start = period_break(dates,'year')
- month_start = period_break(dates,'month')
-
- format[month_start] = '%b'
- format[year_start] = '%b\n%Y'
- if not has_level_label(year_start):
- format[first_label(month_start)] = '%b\n%Y'
- # Case 4. Less than 2.5 years ...............
- elif span <= 2.5 * periodsperyear:
- year_start = period_break(dates,'year')
- if aslocator:
- month_start = period_break(dates, 'quarter')
- major = default[year_start]
- minor = default[month_start]
- else:
- quarter_start = period_break(dates, 'quarter')
- format[quarter_start] = '%b'
- format[year_start] = '%b\n%Y'
- # Case 4. Less than 4 years .................
- elif span <= 4 * periodsperyear:
- year_start = period_break(dates,'year')
- month_start = period_break(dates, 'month')
- if aslocator:
- major = default[year_start]
- minor = default[month_start]
- else:
- month_break = dates[month_start].month
- jan_or_jul = month_start[(month_break == 1) | (month_break == 7)]
- format[jan_or_jul] = '%b'
- format[year_start] = '%b\n%Y'
- # Case 5. Less than 11 years ................
- elif span <= 11 * periodsperyear:
- year_start = period_break(dates,'year')
- if aslocator:
- quarter_start = period_break(dates, 'quarter')
- major = default[year_start]
- minor = default[quarter_start]
- else:
- format[year_start] = '%Y'
- # Case 6. More than 12 years ................
- else:
- year_start = period_break(dates,'year')
- year_break = dates[year_start].years
- nyears = span/periodsperyear
- (min_anndef, maj_anndef) = _get_default_annual_spacing(nyears)
- major_idx = year_start[(year_break % maj_anndef == 0)]
- if aslocator:
- major = default[major_idx]
- minor_idx = year_start[(year_break % min_anndef == 0)]
- minor = default[minor_idx]
- else:
- format[major_idx] = '%Y'
- #............................................
- if aslocator:
- return minor, major
- else:
- formatted = (format != '')
- return dict([(d,f) for (d,f) in zip(default[formatted],format[formatted])])
-#...............................................................................
-def _monthly_finder(vmin, vmax, freq, aslocator):
- if freq != TS.FR_MTH:
- raise ValueError("unexpected frequency")
- periodsperyear = 12
-
- (vmin, vmax) = (int(vmin), int(vmax))
- span = vmax - vmin + 1
- #............................................
- dates = N.arange(vmin, vmax+1)
- format = N.empty(span, dtype="|S8")
- format.flat = ''
- year_start = (dates % 12 == 1).nonzero()[0]
- #............................................
- if span <= 1.15 * periodsperyear:
- if aslocator:
- major = dates[year_start]
- minor = dates
- else:
-
- format[:] = '%b'
- format[year_start] = '%b\n%Y'
-
- if not has_level_label(year_start):
- if dates.size > 1:
- idx = 1
- else:
- idx = 0
- format[idx] = '%b\n%Y'
- #........................
- elif span <= 2.5 * periodsperyear:
- if aslocator:
- major = dates[year_start]
- minor = dates
- else:
- quarter_start = (dates % 3 == 1).nonzero()
- format[quarter_start] = '%b'
- format[year_start] = '%b\n%Y'
- #.......................
- elif span <= 4 * periodsperyear:
- if aslocator:
- major = dates[year_start]
- minor = dates
- else:
- jan_or_jul = (dates % 12 == 1) | (dates % 12 == 7)
- format[jan_or_jul] = '%b'
- format[year_start] = '%b\n%Y'
- #........................
- elif span <= 11 * periodsperyear:
- if aslocator:
- quarter_start = (dates % 3 == 1).nonzero()
- major = dates[year_start]
- minor = dates[quarter_start]
- else:
- format[year_start] = '%Y'
- #.........................
- else:
- nyears = span/periodsperyear
- (min_anndef, maj_anndef) = _get_default_annual_spacing(nyears)
- years = dates[year_start]//12 + 1
- major_idx = year_start[(years % maj_anndef == 0)]
- if aslocator:
- major = dates[major_idx]
- minor = dates[year_start[(years % min_anndef == 0)]]
- else:
- format[major_idx] = '%Y'
- #........................
- if aslocator:
- return minor, major
- else:
- formatted = (format != '')
- return dict([(d,f) for (d,f) in zip(dates[formatted],format[formatted])])
-#...............................................................................
-def _quarterly_finder(vmin, vmax, freq, aslocator):
- if freq != TS.FR_QTR:
- raise ValueError("unexpected frequency")
- periodsperyear = 4
- (vmin, vmax) = (int(vmin), int(vmax))
- span = vmax - vmin + 1
- #............................................
- dates = N.arange(vmin, vmax+1)
- format = N.empty(span, dtype="|S8")
- format.flat = ''
- year_start = (dates % 4 == 1).nonzero()[0]
- #............................................
- if span <= 3.5 * periodsperyear:
- if aslocator:
- major = dates[year_start]
- minor = dates
- else:
- format[:] = 'Q%q'
- format[year_start] = 'Q%q\n%Y'
- if not has_level_label(year_start):
- if dates.size > 1:
- idx = 1
- else:
- idx = 0
- format[idx] = 'Q%q\n%Y'
- #............................................
- elif span <= 11 * periodsperyear:
- if aslocator:
- major = dates[year_start]
- minor = dates
- else:
- format[year_start] = '%Y'
- #............................................
- else:
- years = dates[year_start]//4 + 1
- nyears = span/periodsperyear
- (min_anndef, maj_anndef) = _get_default_annual_spacing(nyears)
- major_idx = year_start[(years % maj_anndef == 0)]
- if aslocator:
- major = dates[major_idx]
- minor = dates[year_start[(years % min_anndef == 0)]]
- else:
- format[major_idx] = '%Y'
- #............................................
- if aslocator:
- return minor, major
- else:
- formatted = (format != '')
- return dict([(d,f) for (d,f) in zip(dates[formatted],format[formatted])])
-#...............................................................................
-def _annual_finder(vmin, vmax, freq, aslocator):
- if freq != TS.FR_ANN:
- raise ValueError("unexpected frequency")
- (vmin, vmax) = (int(vmin), int(vmax+1))
- span = vmax - vmin + 1
- #............................................
- dates = N.arange(vmin, vmax+1)
- format = N.empty(span, dtype="|S8")
- format.flat = ''
- #............................................
- (min_anndef, maj_anndef) = _get_default_annual_spacing(span)
- major_idx = dates % maj_anndef == 0
- if aslocator:
- major = dates[major_idx]
- minor = dates[(dates % min_anndef == 0)]
- else:
- format[major_idx] = '%Y'
- #............................................
- if aslocator:
- return minor, major
- else:
- formatted = (format != '')
- return dict([(d,f) for (d,f) in zip(dates[formatted],format[formatted])])
-
-#...............................................................................
-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.freq = freq
- self.base = base
- (self.quarter, self.month, self.day) = (quarter, month, day)
- self.isminor = minor_locator
- self.isdynamic = dynamic_mode
- self.offset = 0
- #.....
- if freq == TS.FR_ANN:
- self.finder = _annual_finder
- elif freq == TS.FR_QTR:
- self.finder = _quarterly_finder
- elif freq == TS.FR_MTH:
- self.finder = _monthly_finder
- elif freq in (TS.FR_BUS, TS.FR_DAY):
- self.finder = _daily_finder
-
- def asminor(self):
- "Returns the locator set to minor mode."
- self.isminor = True
- return self
-
- def asmajor(self):
- "Returns the locator set to major mode."
- self.isminor = False
- return self
-
- def _get_default_locs(self, vmin, vmax):
- "Returns the default locations of ticks."
- (minor, major) = self.finder(vmin, vmax, self.freq, True)
- 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)
-
-#####---------------------------------------------------------------------------
-#---- --- Formatter ---
-#####---------------------------------------------------------------------------
-class TimeSeries_DateFormatter(Formatter):
- """Formats the ticks along a DateArray axis."""
-
- def __init__(self, freq, minor_locator=False, dynamic_mode=True,):
- self.format = None
- self.freq = freq
- self.locs = []
- self.formatdict = {}
- self.isminor = minor_locator
- self.isdynamic = dynamic_mode
- self.offset = 0
- #.....
- if freq == TS.FR_ANN:
- self.finder = _annual_finder
- elif freq == TS.FR_QTR:
- self.finder = _quarterly_finder
- elif freq == TS.FR_MTH:
- self.finder = _monthly_finder
- elif freq in (TS.FR_BUS, TS.FR_DAY):
- self.finder = _daily_finder
-
- def asminor(self):
- "Returns the formatter set to minor mode."
- self.isminor = True
- return self
-
- def asmajor(self):
- "Returns the fromatter set to major mode."
- self.isminor = False
- return self
-
- def _set_default_format(self, vmin, vmax):
- "Returns the default ticks spacing."
- self.formatdict = self.finder(vmin, vmax, self.freq, False)
- return self.formatdict
-
- def set_locs(self, locs):
- 'Sets the locations of the ticks'
- self.locs = locs
- if len(self.locs) > 0:
- self.verify_intervals()
- self._set_default_format(locs[0], locs[-1])
- #
- def __call__(self, x, pos=0):
- if self.isminor:
- fmt = self.formatdict.pop(x, '')
- if fmt is not '':
- retval = Date(self.freq, value=int(x)).strfmt(fmt)
- else:
- retval = ''
- else:
- retval = ''
- 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.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 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.freq is not None:
- if a.freq != self.freq:
- a = a.asfreq(self.freq)
- # 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])
- else:
- if self.ydata is None:
- raise ValueError, "No data information available!"
- # 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])
- elif self.xdata is None:
- raise ValueError, "No date information available!"
- else:
- output.extend([self.xdata, a])
- # Reinitialize the plot if needed ...........
- if self.xdata is None:
- self.xdata = output[0]
- self.freq = self.xdata.freq
- # Force the xdata to the current frequency
- elif output[0].freq != self.freq:
- output = list(output)
- output[0] = output[0].asfreq(self.freq)
- 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)
- #............................................
- 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 .................
- majlocator = TimeSeries_DateLocator(self.freq, dynamic_mode=True,
- minor_locator=False)
- minlocator = TimeSeries_DateLocator(self.freq, dynamic_mode=True,
- minor_locator=True)
- self.xaxis.set_major_locator(majlocator)
- self.xaxis.set_minor_locator(minlocator)
- # Get the formatter .....................
- majformatter = TimeSeries_DateFormatter(self.freq, dynamic_mode=True,
- minor_locator=False)
- minformatter = TimeSeries_DateFormatter(self.freq, dynamic_mode=True,
- minor_locator=True)
- self.xaxis.set_major_formatter(majformatter)
- self.xaxis.set_minor_formatter(minformatter)
- #........................................
-# 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)
-
-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
-#................................................
-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)
- 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='B', year=2003, quarter=3, month=1, day=17),
- length=10)
- 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('Q'))
-
- 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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