本文整理汇总了Python中matplotlib.dates.AutoDateLocator方法的典型用法代码示例。如果您正苦于以下问题:Python dates.AutoDateLocator方法的具体用法?Python dates.AutoDateLocator怎么用?Python dates.AutoDateLocator使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.dates
的用法示例。
在下文中一共展示了dates.AutoDateLocator方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_locator
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def get_locator(self, dmin, dmax):
'Pick the best locator based on a distance.'
_check_implicitly_registered()
delta = relativedelta(dmax, dmin)
num_days = (delta.years * 12.0 + delta.months) * 31.0 + delta.days
num_sec = (delta.hours * 60.0 + delta.minutes) * 60.0 + delta.seconds
tot_sec = num_days * 86400. + num_sec
if abs(tot_sec) < self.minticks:
self._freq = -1
locator = MilliSecondLocator(self.tz)
locator.set_axis(self.axis)
locator.set_view_interval(*self.axis.get_view_interval())
locator.set_data_interval(*self.axis.get_data_interval())
return locator
return dates.AutoDateLocator.get_locator(self, dmin, dmax)
示例2: get_locator
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def get_locator(self, dmin, dmax):
'Pick the best locator based on a distance.'
delta = relativedelta(dmax, dmin)
num_days = ((delta.years * 12.0) + delta.months * 31.0) + delta.days
num_sec = (delta.hours * 60.0 + delta.minutes) * 60.0 + delta.seconds
tot_sec = num_days * 86400. + num_sec
if abs(tot_sec) < self.minticks:
self._freq = -1
locator = MilliSecondLocator(self.tz)
locator.set_axis(self.axis)
locator.set_view_interval(*self.axis.get_view_interval())
locator.set_data_interval(*self.axis.get_data_interval())
return locator
return dates.AutoDateLocator.get_locator(self, dmin, dmax)
示例3: axisinfo
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [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 )
#------------------------------------------------------------------------
示例4: axisinfo
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [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)
# -----------------------------------------------------------------------
示例5: test_yearlocator_pytz
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def test_yearlocator_pytz():
import pytz
tz = pytz.timezone('America/New_York')
x = [tz.localize(datetime.datetime(2010, 1, 1))
+ datetime.timedelta(i) for i in range(2000)]
locator = mdates.AutoDateLocator(interval_multiples=True, tz=tz)
locator.create_dummy_axis()
locator.set_view_interval(mdates.date2num(x[0])-1.0,
mdates.date2num(x[-1])+1.0)
np.testing.assert_allclose([733408.208333, 733773.208333, 734138.208333,
734503.208333, 734869.208333,
735234.208333, 735599.208333], locator())
expected = ['2009-01-01 00:00:00-05:00',
'2010-01-01 00:00:00-05:00', '2011-01-01 00:00:00-05:00',
'2012-01-01 00:00:00-05:00', '2013-01-01 00:00:00-05:00',
'2014-01-01 00:00:00-05:00', '2015-01-01 00:00:00-05:00']
st = list(map(str, mdates.num2date(locator(), tz=tz)))
assert st == expected
示例6: get_locator
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def get_locator(self, dmin, dmax):
'Pick the best locator based on a distance.'
delta = relativedelta(dmax, dmin)
num_days = (delta.years * 12.0 + delta.months) * 31.0 + delta.days
num_sec = (delta.hours * 60.0 + delta.minutes) * 60.0 + delta.seconds
tot_sec = num_days * 86400. + num_sec
if abs(tot_sec) < self.minticks:
self._freq = -1
locator = MilliSecondLocator(self.tz)
locator.set_axis(self.axis)
locator.set_view_interval(*self.axis.get_view_interval())
locator.set_data_interval(*self.axis.get_data_interval())
return locator
return dates.AutoDateLocator.get_locator(self, dmin, dmax)
示例7: axisinfo
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def axisinfo(unit, axis):
"""
Return the :class:`~matplotlib.units.AxisInfo` for *unit*.
*unit* is a tzinfo instance or None.
The *axis* argument is required but not used.
"""
tz = unit
majloc = AutoDateLocator(tz=tz)
majfmt = AutoDateFormatter(majloc, tz=tz)
datemin = datetime.date(2000, 1, 1)
datemax = datetime.date(2010, 1, 1)
return units.AxisInfo(majloc=majloc, majfmt=majfmt, label='',
default_limits=(datemin, datemax))
示例8: axisinfo
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [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)
示例9: adjust_xlim
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def adjust_xlim(ax, timemax, xlabel=False):
xlim = mdates.num2date(ax.get_xlim())
update = False
# remove timezone awareness to make them comparable
timemax = timemax.replace(tzinfo=None)
xlim[0] = xlim[0].replace(tzinfo=None)
xlim[1] = xlim[1].replace(tzinfo=None)
if timemax > xlim[1] - timedelta(minutes=30):
xmax = xlim[1] + timedelta(hours=6)
update = True
if update:
ax.set_xlim([xlim[0], xmax])
for spine in ax.spines.values():
ax.draw_artist(spine)
ax.draw_artist(ax.xaxis)
if xlabel:
ax.xaxis.set_minor_locator(mdates.AutoDateLocator())
ax.xaxis.set_minor_formatter(mdates.DateFormatter('%H:%M\n'))
ax.xaxis.set_major_locator(mdates.DayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('\n%b %d'))
示例10: ensemblePlot
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def ensemblePlot(df):
df_BG = df.unstack(level=0).BG
df_CGM = df.unstack(level=0).CGM
df_CHO = df.unstack(level=0).CHO
fig = plt.figure()
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
ax1 = ensemble_BG(df_BG, ax=ax1, plot_var=True, nstd=1)
ax2 = ensemble_BG(df_CGM, ax=ax2, plot_var=True, nstd=1)
# t = df_CHO.index.to_pydatetime()
t = pd.to_datetime(df_CHO.index)
ax3.plot(t, df_CHO)
ax1.tick_params(labelbottom=False)
ax2.tick_params(labelbottom=False)
ax3.xaxis.set_minor_locator(mdates.AutoDateLocator())
ax3.xaxis.set_minor_formatter(mdates.DateFormatter('%H:%M\n'))
ax3.xaxis.set_major_locator(mdates.DayLocator())
ax3.xaxis.set_major_formatter(mdates.DateFormatter('\n%b %d'))
ax3.set_xlim([t[0], t[-1]])
ax1.set_ylabel('Blood Glucose (mg/dl)')
ax2.set_ylabel('CGM (mg/dl)')
ax3.set_ylabel('CHO (g)')
return fig, ax1, ax2, ax3
示例11: _load_graph
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [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
示例12: _make_plot
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [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
示例13: set_x_axis_locator
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def set_x_axis_locator(self, x_from, x_to):
x_axis_range = x_to - x_from
years = mdates.YearLocator()
if x_axis_range < 200:
self.ax.xaxis.set_major_locator(mdates.MonthLocator())
self.ax.xaxis.set_major_formatter(mdates.DateFormatter('%b-%Y'))
# self.ax.xaxis.set_major_locator(mdates.AutoDateLocator())
elif x_axis_range < 7*365:
self.ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
self.ax.xaxis.set_major_locator(years)
self.ax.xaxis.set_minor_locator(mdates.MonthLocator())
else:
self.ax.xaxis.set_major_locator(years)
self.ax.xaxis.set_major_locator(mdates.AutoDateLocator())
示例14: set_x_axis_locator
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def set_x_axis_locator(ax, x_from, x_to):
x_axis_range = x_to - x_from
if x_axis_range < 300:
ax.xaxis.set_major_locator(mdates.MonthLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%b-%Y'))
elif x_axis_range < 4*365:
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
else:
ax.xaxis.set_major_locator(mdates.AutoDateLocator())
return ax
示例15: line
# 需要导入模块: from matplotlib import dates [as 别名]
# 或者: from matplotlib.dates import AutoDateLocator [as 别名]
def line():
"""
Creates a single graph with date and time as the x axis and
a variable number of plots.
"""
# Save data to redraw plot later
save_data('line')
# set the screen title, size, density
fig = plt.figure(title,graph_dimensions,graph_dpi)
# do the plot
plt.title(title)
plt.ylabel(ylabel1)
plt.grid(which="major")
for plot_num in range(len(ylists)):
plt.plot(xdatetimes,ylists[plot_num],color=my_colors(plot_num))
# date time formatting
ax = fig.axes[0]
fig.autofmt_xdate()
ax.fmt_xdata = mdates.DateFormatter('%m/%d/%Y %H:%M')
loc=mdates.AutoDateLocator()
datetimefmt = mdates.AutoDateFormatter(loc)
ax.xaxis.set_major_formatter(datetimefmt)
ax.xaxis.set_major_locator(loc)
# other formatting
plt.legend(ylistlabels,loc='upper left')
plt.autoscale(tight=True)
# subplots_adjust settings - single plot so zero space between plots
vleft = 0.06 # the left side of the subplots of the figure
vright = 0.97 # the right side of the subplots of the figure
vbottom = 0.12 # the bottom of the subplots of the figure
vtop = 0.95 # the top of the subplots of the figure
vwspace = 0.0 # the amount of width reserved for blank space between subplots
vhspace = 0.0 # the amount of height reserved for white space between subplots
plt.subplots_adjust(left=vleft,right=vright,bottom=vbottom,top=vtop,wspace=vwspace,hspace=vhspace)
fileorscreen(title+'.png')
return