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panel_ctor.py
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from .pandas_vb_common import *
class panel_from_dict_all_different_indexes(object):
goal_time = 0.2
def setup(self):
self.data_frames = {}
self.start = datetime(1990, 1, 1)
self.end = datetime(2012, 1, 1)
for x in range(100):
self.end += timedelta(days=1)
self.dr = np.asarray(date_range(self.start, self.end))
self.df = DataFrame({'a': ([0] * len(self.dr)), 'b': ([1] * len(self.dr)), 'c': ([2] * len(self.dr)), }, index=self.dr)
self.data_frames[x] = self.df
def time_panel_from_dict_all_different_indexes(self):
Panel.from_dict(self.data_frames)
class panel_from_dict_equiv_indexes(object):
goal_time = 0.2
def setup(self):
self.data_frames = {}
for x in range(100):
self.dr = np.asarray(DatetimeIndex(start=datetime(1990, 1, 1), end=datetime(2012, 1, 1), freq=datetools.Day(1)))
self.df = DataFrame({'a': ([0] * len(self.dr)), 'b': ([1] * len(self.dr)), 'c': ([2] * len(self.dr)), }, index=self.dr)
self.data_frames[x] = self.df
def time_panel_from_dict_equiv_indexes(self):
Panel.from_dict(self.data_frames)
class panel_from_dict_same_index(object):
goal_time = 0.2
def setup(self):
self.dr = np.asarray(DatetimeIndex(start=datetime(1990, 1, 1), end=datetime(2012, 1, 1), freq=datetools.Day(1)))
self.data_frames = {}
for x in range(100):
self.df = DataFrame({'a': ([0] * len(self.dr)), 'b': ([1] * len(self.dr)), 'c': ([2] * len(self.dr)), }, index=self.dr)
self.data_frames[x] = self.df
def time_panel_from_dict_same_index(self):
Panel.from_dict(self.data_frames)
class panel_from_dict_two_different_indexes(object):
goal_time = 0.2
def setup(self):
self.data_frames = {}
self.start = datetime(1990, 1, 1)
self.end = datetime(2012, 1, 1)
for x in range(100):
if (x == 50):
self.end += timedelta(days=1)
self.dr = np.asarray(date_range(self.start, self.end))
self.df = DataFrame({'a': ([0] * len(self.dr)), 'b': ([1] * len(self.dr)), 'c': ([2] * len(self.dr)), }, index=self.dr)
self.data_frames[x] = self.df
def time_panel_from_dict_two_different_indexes(self):
Panel.from_dict(self.data_frames)