import numpy as np
import pytest
from pandas import DataFrame, MultiIndex
from pandas.util import testing as tm
@pytest.fixture
def mframe():
index = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'], ['one', 'two',
'three']],
codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3],
[0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
names=['first', 'second'])
return DataFrame(np.random.randn(10, 3), index=index,
columns=['A', 'B', 'C'])
@pytest.fixture
def df():
return DataFrame(
{'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
'B': ['one', 'one', 'two', 'three', 'two', 'two', 'one', 'three'],
'C': np.random.randn(8),
'D': np.random.randn(8)})
@pytest.fixture
def ts():
return tm.makeTimeSeries()
@pytest.fixture
def seriesd():
return tm.getSeriesData()
@pytest.fixture
def tsd():
return tm.getTimeSeriesData()
@pytest.fixture
def frame(seriesd):
return DataFrame(seriesd)
@pytest.fixture
def tsframe(tsd):
return DataFrame(tsd)
@pytest.fixture
def df_mixed_floats():
return DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
'foo', 'bar', 'foo', 'foo'],
'B': ['one', 'one', 'two', 'three',
'two', 'two', 'one', 'three'],
'C': np.random.randn(8),
'D': np.array(
np.random.randn(8), dtype='float32')})
@pytest.fixture
def three_group():
return DataFrame({'A': ['foo', 'foo', 'foo',
'foo', 'bar', 'bar',
'bar', 'bar',
'foo', 'foo', 'foo'],
'B': ['one', 'one', 'one',
'two', 'one', 'one', 'one', 'two',
'two', 'two', 'one'],
'C': ['dull', 'dull', 'shiny',
'dull', 'dull', 'shiny', 'shiny',
'dull', 'shiny', 'shiny', 'shiny'],
'D': np.random.randn(11),
'E': np.random.randn(11),
'F': np.random.randn(11)})
