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test_callable.py
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test_callable.py
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# -*- coding: utf-8 -*-
# pylint: disable-msg=W0612,E1101
import nose
import numpy as np
import pandas as pd
import pandas.util.testing as tm
class TestIndexingCallable(tm.TestCase):
_multiprocess_can_split_ = True
def test_frame_loc_ix_callable(self):
# GH 11485
df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': list('aabb'),
'C': [1, 2, 3, 4]})
# iloc cannot use boolean Series (see GH3635)
# return bool indexer
res = df.loc[lambda x: x.A > 2]
tm.assert_frame_equal(res, df.loc[df.A > 2])
res = df.ix[lambda x: x.A > 2]
tm.assert_frame_equal(res, df.ix[df.A > 2])
res = df.loc[lambda x: x.A > 2, ]
tm.assert_frame_equal(res, df.loc[df.A > 2, ])
res = df.ix[lambda x: x.A > 2, ]
tm.assert_frame_equal(res, df.ix[df.A > 2, ])
res = df.loc[lambda x: x.B == 'b', :]
tm.assert_frame_equal(res, df.loc[df.B == 'b', :])
res = df.ix[lambda x: x.B == 'b', :]
tm.assert_frame_equal(res, df.ix[df.B == 'b', :])
res = df.loc[lambda x: x.A > 2, lambda x: x.columns == 'B']
tm.assert_frame_equal(res, df.loc[df.A > 2, [False, True, False]])
res = df.ix[lambda x: x.A > 2, lambda x: x.columns == 'B']
tm.assert_frame_equal(res, df.ix[df.A > 2, [False, True, False]])
res = df.loc[lambda x: x.A > 2, lambda x: 'B']
tm.assert_series_equal(res, df.loc[df.A > 2, 'B'])
res = df.ix[lambda x: x.A > 2, lambda x: 'B']
tm.assert_series_equal(res, df.ix[df.A > 2, 'B'])
res = df.loc[lambda x: x.A > 2, lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.loc[df.A > 2, ['A', 'B']])
res = df.ix[lambda x: x.A > 2, lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.ix[df.A > 2, ['A', 'B']])
res = df.loc[lambda x: x.A == 2, lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.loc[df.A == 2, ['A', 'B']])
res = df.ix[lambda x: x.A == 2, lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.ix[df.A == 2, ['A', 'B']])
# scalar
res = df.loc[lambda x: 1, lambda x: 'A']
self.assertEqual(res, df.loc[1, 'A'])
res = df.ix[lambda x: 1, lambda x: 'A']
self.assertEqual(res, df.ix[1, 'A'])
def test_frame_loc_ix_callable_mixture(self):
# GH 11485
df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': list('aabb'),
'C': [1, 2, 3, 4]})
res = df.loc[lambda x: x.A > 2, ['A', 'B']]
tm.assert_frame_equal(res, df.loc[df.A > 2, ['A', 'B']])
res = df.ix[lambda x: x.A > 2, ['A', 'B']]
tm.assert_frame_equal(res, df.ix[df.A > 2, ['A', 'B']])
res = df.loc[[2, 3], lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.loc[[2, 3], ['A', 'B']])
res = df.ix[[2, 3], lambda x: ['A', 'B']]
tm.assert_frame_equal(res, df.ix[[2, 3], ['A', 'B']])
res = df.loc[3, lambda x: ['A', 'B']]
tm.assert_series_equal(res, df.loc[3, ['A', 'B']])
res = df.ix[3, lambda x: ['A', 'B']]
tm.assert_series_equal(res, df.ix[3, ['A', 'B']])
def test_frame_loc_callable(self):
# GH 11485
df = pd.DataFrame({'X': [1, 2, 3, 4],
'Y': list('aabb')},
index=list('ABCD'))
# return label
res = df.loc[lambda x: ['A', 'C']]
tm.assert_frame_equal(res, df.loc[['A', 'C']])
res = df.loc[lambda x: ['A', 'C'], ]
tm.assert_frame_equal(res, df.loc[['A', 'C'], ])
res = df.loc[lambda x: ['A', 'C'], :]
tm.assert_frame_equal(res, df.loc[['A', 'C'], :])
res = df.loc[lambda x: ['A', 'C'], lambda x: 'X']
tm.assert_series_equal(res, df.loc[['A', 'C'], 'X'])
res = df.loc[lambda x: ['A', 'C'], lambda x: ['X']]
tm.assert_frame_equal(res, df.loc[['A', 'C'], ['X']])
# mixture
res = df.loc[['A', 'C'], lambda x: 'X']
tm.assert_series_equal(res, df.loc[['A', 'C'], 'X'])
res = df.loc[['A', 'C'], lambda x: ['X']]
tm.assert_frame_equal(res, df.loc[['A', 'C'], ['X']])
res = df.loc[lambda x: ['A', 'C'], 'X']
tm.assert_series_equal(res, df.loc[['A', 'C'], 'X'])
res = df.loc[lambda x: ['A', 'C'], ['X']]
tm.assert_frame_equal(res, df.loc[['A', 'C'], ['X']])
def test_frame_loc_callable_setitem(self):
# GH 11485
df = pd.DataFrame({'X': [1, 2, 3, 4],
'Y': list('aabb')},
index=list('ABCD'))
# return label
res = df.copy()
res.loc[lambda x: ['A', 'C']] = -20
exp = df.copy()
exp.loc[['A', 'C']] = -20
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[lambda x: ['A', 'C'], :] = 20
exp = df.copy()
exp.loc[['A', 'C'], :] = 20
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[lambda x: ['A', 'C'], lambda x: 'X'] = -1
exp = df.copy()
exp.loc[['A', 'C'], 'X'] = -1
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[lambda x: ['A', 'C'], lambda x: ['X']] = [5, 10]
exp = df.copy()
exp.loc[['A', 'C'], ['X']] = [5, 10]
tm.assert_frame_equal(res, exp)
# mixture
res = df.copy()
res.loc[['A', 'C'], lambda x: 'X'] = np.array([-1, -2])
exp = df.copy()
exp.loc[['A', 'C'], 'X'] = np.array([-1, -2])
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[['A', 'C'], lambda x: ['X']] = 10
exp = df.copy()
exp.loc[['A', 'C'], ['X']] = 10
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[lambda x: ['A', 'C'], 'X'] = -2
exp = df.copy()
exp.loc[['A', 'C'], 'X'] = -2
tm.assert_frame_equal(res, exp)
res = df.copy()
res.loc[lambda x: ['A', 'C'], ['X']] = -4
exp = df.copy()
exp.loc[['A', 'C'], ['X']] = -4
tm.assert_frame_equal(res, exp)
def test_frame_iloc_callable(self):
# GH 11485
df = pd.DataFrame({'X': [1, 2, 3, 4],
'Y': list('aabb')},
index=list('ABCD'))
# return location
res = df.iloc[lambda x: [1, 3]]
tm.assert_frame_equal(res, df.iloc[[1, 3]])
res = df.iloc[lambda x: [1, 3], :]
tm.assert_frame_equal(res, df.iloc[[1, 3], :])
res = df.iloc[lambda x: [1, 3], lambda x: 0]
tm.assert_series_equal(res, df.iloc[[1, 3], 0])
res = df.iloc[lambda x: [1, 3], lambda x: [0]]
tm.assert_frame_equal(res, df.iloc[[1, 3], [0]])
# mixture
res = df.iloc[[1, 3], lambda x: 0]
tm.assert_series_equal(res, df.iloc[[1, 3], 0])
res = df.iloc[[1, 3], lambda x: [0]]
tm.assert_frame_equal(res, df.iloc[[1, 3], [0]])
res = df.iloc[lambda x: [1, 3], 0]
tm.assert_series_equal(res, df.iloc[[1, 3], 0])
res = df.iloc[lambda x: [1, 3], [0]]
tm.assert_frame_equal(res, df.iloc[[1, 3], [0]])
def test_frame_iloc_callable_setitem(self):
# GH 11485
df = pd.DataFrame({'X': [1, 2, 3, 4],
'Y': list('aabb')},
index=list('ABCD'))
# return location
res = df.copy()
res.iloc[lambda x: [1, 3]] = 0
exp = df.copy()
exp.iloc[[1, 3]] = 0
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[lambda x: [1, 3], :] = -1
exp = df.copy()
exp.iloc[[1, 3], :] = -1
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[lambda x: [1, 3], lambda x: 0] = 5
exp = df.copy()
exp.iloc[[1, 3], 0] = 5
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[lambda x: [1, 3], lambda x: [0]] = 25
exp = df.copy()
exp.iloc[[1, 3], [0]] = 25
tm.assert_frame_equal(res, exp)
# mixture
res = df.copy()
res.iloc[[1, 3], lambda x: 0] = -3
exp = df.copy()
exp.iloc[[1, 3], 0] = -3
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[[1, 3], lambda x: [0]] = -5
exp = df.copy()
exp.iloc[[1, 3], [0]] = -5
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[lambda x: [1, 3], 0] = 10
exp = df.copy()
exp.iloc[[1, 3], 0] = 10
tm.assert_frame_equal(res, exp)
res = df.copy()
res.iloc[lambda x: [1, 3], [0]] = [-5, -5]
exp = df.copy()
exp.iloc[[1, 3], [0]] = [-5, -5]
tm.assert_frame_equal(res, exp)
if __name__ == '__main__':
nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],
exit=False)