Python dates.AutoDateFormatter方法代码示例

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def axisinfo( unit, axis ):
      """: Returns information on how to handle an axis that has Epoch data.

      = INPUT VARIABLES
      - unit    The units to use for a axis with Epoch data.

      = RETURN VALUE
      - Returns a matplotlib AxisInfo data structure that contains
        minor/major formatters, major/minor locators, and default
        label information.
      """

      majloc = date_ticker.AutoDateLocator()
      majfmt = date_ticker.AutoDateFormatter( majloc )

      return units.AxisInfo( majloc = majloc,
                             majfmt = majfmt,
                             label = unit )

   #------------------------------------------------------------------------ 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def test_RRuleLocator():
    import matplotlib.testing.jpl_units as units
    units.register()

    # This will cause the RRuleLocator to go out of bounds when it tries
    # to add padding to the limits, so we make sure it caps at the correct
    # boundary values.
    t0 = datetime.datetime(1000, 1, 1)
    tf = datetime.datetime(6000, 1, 1)

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.set_autoscale_on(True)
    ax.plot([t0, tf], [0.0, 1.0], marker='o')

    rrule = mdates.rrulewrapper(dateutil.rrule.YEARLY, interval=500)
    locator = mdates.RRuleLocator(rrule)
    ax.xaxis.set_major_locator(locator)
    ax.xaxis.set_major_formatter(mdates.AutoDateFormatter(locator))

    ax.autoscale_view()
    fig.autofmt_xdate() 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def test_DateFormatter():
    import matplotlib.testing.jpl_units as units
    units.register()

    # Lets make sure that DateFormatter will allow us to have tick marks
    # at intervals of fractional seconds.

    t0 = datetime.datetime(2001, 1, 1, 0, 0, 0)
    tf = datetime.datetime(2001, 1, 1, 0, 0, 1)

    fig = plt.figure()
    ax = plt.subplot(111)
    ax.set_autoscale_on(True)
    ax.plot([t0, tf], [0.0, 1.0], marker='o')

    # rrule = mpldates.rrulewrapper( dateutil.rrule.YEARLY, interval=500 )
    # locator = mpldates.RRuleLocator( rrule )
    # ax.xaxis.set_major_locator( locator )
    # ax.xaxis.set_major_formatter( mpldates.AutoDateFormatter(locator) )

    ax.autoscale_view()
    fig.autofmt_xdate() 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def axisinfo(unit, axis):
        """: Returns information on how to handle an axis that has Epoch data.

        = INPUT VARIABLES
        - unit     The units to use for a axis with Epoch data.

        = RETURN VALUE
        - Returns a matplotlib AxisInfo data structure that contains
          minor/major formatters, major/minor locators, and default
          label information.
        """

        majloc = date_ticker.AutoDateLocator()
        majfmt = date_ticker.AutoDateFormatter(majloc)

        return units.AxisInfo(majloc=majloc, majfmt=majfmt, label=unit)

    # ----------------------------------------------------------------------- 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def axisinfo(unit, axis):
        """: Returns information on how to handle an axis that has Epoch data.

        = INPUT VARIABLES
        - unit     The units to use for a axis with Epoch data.

        = RETURN VALUE
        - Returns a matplotlib AxisInfo data structure that contains
          minor/major formatters, major/minor locators, and default
          label information.
        """

        majloc = date_ticker.AutoDateLocator()
        majfmt = date_ticker.AutoDateFormatter(majloc)

        return units.AxisInfo(majloc=majloc, majfmt=majfmt, label=unit) 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
        dates.AutoDateFormatter.__init__(self, locator, tz, defaultfmt)
        # matplotlib.dates._UTC has no _utcoffset called by pandas
        if self._tz is dates.UTC:
            self._tz._utcoffset = self._tz.utcoffset(None) 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def _load_graph(self, info_cache):
		# define the necessary colors
		color_bg = self.get_color('bg', ColorHexCode.WHITE)
		color_fg = self.get_color('fg', ColorHexCode.BLACK)
		color_line_bg = self.get_color('line_bg', ColorHexCode.WHITE)
		color_line_fg = self.get_color('line_fg', ColorHexCode.BLACK)
		visits = info_cache['visits']['edges']
		first_seen_timestamps = [utilities.datetime_utc_to_local(visit['node']['firstSeen']) for visit in visits]

		ax = self.axes[0]
		ax.tick_params(
			axis='both',
			which='both',
			colors=color_fg,
			top=False,
			bottom=False
		)
		ax.set_facecolor(color_line_bg)
		ax.set_ylabel('Number of Visits', color=self.get_color('fg', ColorHexCode.WHITE), size=10)
		self._ax_hide_ticks(ax)
		self._ax_set_spine_color(ax, color_bg)
		if not len(first_seen_timestamps):
			ax.set_yticks((0,))
			ax.set_xticks((0,))
			return

		first_seen_timestamps.sort()
		ax.plot_date(
			first_seen_timestamps,
			range(1, len(first_seen_timestamps) + 1),
			'-',
			color=color_line_fg,
			linewidth=6
		)
		self.figure.autofmt_xdate()
		self.figure.subplots_adjust(top=0.85, right=0.95, bottom=0.25, left=0.1)

		locator = dates.AutoDateLocator()
		ax.xaxis.set_major_locator(locator)
		ax.xaxis.set_major_formatter(dates.AutoDateFormatter(locator))
		return 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
        dates.AutoDateFormatter.__init__(self, locator, tz, defaultfmt)
        # matplotlib.dates._UTC has no _utcoffset called by pandas
        if self._tz is dates.UTC:
            self._tz._utcoffset = self._tz.utcoffset(None)

        # For mpl > 2.0 the format strings are controlled via rcparams
        # so do not mess with them.  For mpl < 2.0 change the second
        # break point and add a musec break point
        if _mpl_le_2_0_0():
            self.scaled[1. / SEC_PER_DAY] = '%H:%M:%S'
            self.scaled[1. / MUSEC_PER_DAY] = '%H:%M:%S.%f' 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
        dates.AutoDateFormatter.__init__(self, locator, tz, defaultfmt)
        # matplotlib.dates._UTC has no _utcoffset called by pandas
        if self._tz is dates.UTC:
            self._tz._utcoffset = self._tz.utcoffset(None)
        self.scaled = {
            365.0: '%Y',
            30.: '%b %Y',
            1.0: '%b %d %Y',
            1. / 24.: '%H:%M:%S',
            1. / 24. / 3600. / 1000.: '%H:%M:%S.%f'
        } 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def test_date_formatter_callable():
    scale = -11
    locator = mock.Mock(_get_unit=mock.Mock(return_value=scale))
    callable_formatting_function = (lambda dates, _:
                                    [dt.strftime('%d-%m//%Y') for dt in dates])

    formatter = mdates.AutoDateFormatter(locator)
    formatter.scaled[-10] = callable_formatting_function
    assert_equal(formatter([datetime.datetime(2014, 12, 25)]),
                 ['25-12//2014']) 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def test_date_formatter_callable():
    scale = -11
    locator = Mock(_get_unit=Mock(return_value=scale))
    callable_formatting_function = (lambda dates, _:
                                    [dt.strftime('%d-%m//%Y') for dt in dates])

    formatter = mdates.AutoDateFormatter(locator)
    formatter.scaled[-10] = callable_formatting_function
    assert formatter([datetime.datetime(2014, 12, 25)]) == ['25-12//2014'] 

# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateFormatter [as 别名]
def _make_plot(self):
        try:
            from pandas.plotting._timeseries import (_decorate_axes,
                                                     format_dateaxis)
        except ImportError:
            from pandas.tseries.plotting import _decorate_axes, format_dateaxis
        plotf = self._get_plot_function()
        ax = self._get_ax(0)

        data = self.data
        data.index.name = 'Date'
        data = data.to_period(freq=self.freq)
        index = data.index
        data = data.reset_index(level=0)

        if self._is_ts_plot():
            data['Date'] = data['Date'].apply(lambda x: x.ordinal)
            _decorate_axes(ax, self.freq, self.kwds)
            candles = plotf(data, ax, **self.kwds)
            format_dateaxis(ax, self.freq, index)
        else:
            from matplotlib.dates import date2num, AutoDateFormatter, AutoDateLocator

            data['Date'] = data['Date'].apply(lambda x: date2num(x.to_timestamp()))
            candles = plotf(data, ax, **self.kwds)

            locator = AutoDateLocator()
            ax.xaxis.set_major_locator(locator)
            ax.xaxis.set_major_formatter(AutoDateFormatter(locator))

        return candles