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import warnings
from datetime import datetime, timedelta
from pandas import DataFrame, DatetimeIndex, date_range
from .pandas_vb_common import Panel, setup # noqa
class DifferentIndexes(object):
goal_time = 0.2
def setup(self):
self.data_frames = {}
start = datetime(1990, 1, 1)
end = datetime(2012, 1, 1)
for x in range(100):
end += timedelta(days=1)
idx = date_range(start, end)
df = DataFrame({'a': 0, 'b': 1, 'c': 2}, index=idx)
self.data_frames[x] = df
def time_from_dict(self):
with warnings.catch_warnings(record=True):
Panel.from_dict(self.data_frames)
class SameIndexes(object):
goal_time = 0.2
def setup(self):
idx = DatetimeIndex(start=datetime(1990, 1, 1),
end=datetime(2012, 1, 1),
freq='D')
df = DataFrame({'a': 0, 'b': 1, 'c': 2}, index=idx)
self.data_frames = dict(enumerate([df] * 100))
def time_from_dict(self):
with warnings.catch_warnings(record=True):
Panel.from_dict(self.data_frames)
class TwoIndexes(object):
goal_time = 0.2
def setup(self):
start = datetime(1990, 1, 1)
end = datetime(2012, 1, 1)
df1 = DataFrame({'a': 0, 'b': 1, 'c': 2},
index=DatetimeIndex(start=start, end=end, freq='D'))
end += timedelta(days=1)
df2 = DataFrame({'a': 0, 'b': 1, 'c': 2},
index=DatetimeIndex(start=start, end=end, freq='D'))
dfs = [df1] * 50 + [df2] * 50
self.data_frames = dict(enumerate(dfs))
def time_from_dict(self):
with warnings.catch_warnings(record=True):
Panel.from_dict(self.data_frames)
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