def _make_plot(self):
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)
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)
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))
def _ts_plot(cls, ax, x, data, style=None, **kwds):
from pandas.tseries.plotting import (_maybe_resample,
_decorate_axes,
format_dateaxis)
# accept x to be consistent with normal plot func,
# x is not passed to tsplot as it uses data.index as x coordinate
# column_num must be in kwds for stacking purpose
freq, data = _maybe_resample(data, ax, kwds)
# Set ax with freq info
_decorate_axes(ax, freq, kwds)
# digging deeper
if hasattr(ax, 'left_ax'):
_decorate_axes(ax.left_ax, freq, kwds)
if hasattr(ax, 'right_ax'):
_decorate_axes(ax.right_ax, freq, kwds)
ax._plot_data.append((data, cls._kind, kwds))
lines = cls._plot(ax, data.index, data.values, style=style, **kwds)
# set date formatter, locators and rescale limits
format_dateaxis(ax, ax.freq, data.index)
return lines
def _make_plot(self):
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)
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)
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))