Python pandas.Series.nth() Examples
The following are 27
code examples of pandas.Series.nth().
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Example #1
| Source File: test_nth.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_nth_multi_index_as_expected():
# PR 9090, related to issue 8979
# test nth on MultiIndex
three_group = 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']})
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = DataFrame(
{'C': ['dull', 'dull', 'dull', 'dull']},
index=MultiIndex.from_arrays([['bar', 'bar', 'foo', 'foo'],
['one', 'two', 'one', 'two']],
names=['A', 'B']))
assert_frame_equal(result, expected)
Example #2
| Source File: test_nth.py From recruit with Apache License 2.0 | 6 votes |
|
def test_nth_multi_index_as_expected():
# PR 9090, related to issue 8979
# test nth on MultiIndex
three_group = 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']})
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = DataFrame(
{'C': ['dull', 'dull', 'dull', 'dull']},
index=MultiIndex.from_arrays([['bar', 'bar', 'foo', 'foo'],
['one', 'two', 'one', 'two']],
names=['A', 'B']))
assert_frame_equal(result, expected)
Example #3
| Source File: test_nth.py From recruit with Apache License 2.0 | 6 votes |
|
def test_nth_column_order():
# GH 20760
# Check that nth preserves column order
df = DataFrame([[1, 'b', 100],
[1, 'a', 50],
[1, 'a', np.nan],
[2, 'c', 200],
[2, 'd', 150]],
columns=['A', 'C', 'B'])
result = df.groupby('A').nth(0)
expected = DataFrame([['b', 100.0],
['c', 200.0]],
columns=['C', 'B'],
index=Index([1, 2], name='A'))
assert_frame_equal(result, expected)
result = df.groupby('A').nth(-1, dropna='any')
expected = DataFrame([['a', 50.0],
['d', 150.0]],
columns=['C', 'B'],
index=Index([1, 2], name='A'))
assert_frame_equal(result, expected)
Example #4
| Source File: test_nth.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_nth_multi_index_as_expected(self):
# PR 9090, related to issue 8979
# test nth on MultiIndex
three_group = 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']})
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = DataFrame(
{'C': ['dull', 'dull', 'dull', 'dull']},
index=MultiIndex.from_arrays([['bar', 'bar', 'foo', 'foo'],
['one', 'two', 'one', 'two']],
names=['A', 'B']))
assert_frame_equal(result, expected)
Example #5
| Source File: test_nth.py From vnpy_crypto with MIT License | 6 votes |
|
def test_nth_multi_index_as_expected():
# PR 9090, related to issue 8979
# test nth on MultiIndex
three_group = 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']})
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = DataFrame(
{'C': ['dull', 'dull', 'dull', 'dull']},
index=MultiIndex.from_arrays([['bar', 'bar', 'foo', 'foo'],
['one', 'two', 'one', 'two']],
names=['A', 'B']))
assert_frame_equal(result, expected)
Example #6
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_nth_column_order():
# GH 20760
# Check that nth preserves column order
df = DataFrame([[1, 'b', 100],
[1, 'a', 50],
[1, 'a', np.nan],
[2, 'c', 200],
[2, 'd', 150]],
columns=['A', 'C', 'B'])
result = df.groupby('A').nth(0)
expected = DataFrame([['b', 100.0],
['c', 200.0]],
columns=['C', 'B'],
index=Index([1, 2], name='A'))
assert_frame_equal(result, expected)
result = df.groupby('A').nth(-1, dropna='any')
expected = DataFrame([['a', 50.0],
['d', 150.0]],
columns=['C', 'B'],
index=Index([1, 2], name='A'))
assert_frame_equal(result, expected)
Example #7
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_nth_multi_index_as_expected():
# PR 9090, related to issue 8979
# test nth on MultiIndex
three_group = 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']})
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = DataFrame(
{'C': ['dull', 'dull', 'dull', 'dull']},
index=MultiIndex.from_arrays([['bar', 'bar', 'foo', 'foo'],
['one', 'two', 'one', 'two']],
names=['A', 'B']))
assert_frame_equal(result, expected)
Example #8
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_nth_multi_index(three_group):
# PR 9090, related to issue 8979
# test nth on MultiIndex, should match .first()
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = grouped.first()
assert_frame_equal(result, expected)
Example #9
| Source File: test_nth.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_group_selection_cache():
# GH 12839 nth, head, and tail should return same result consistently
df = DataFrame([[1, 2], [1, 4], [5, 6]], columns=['A', 'B'])
expected = df.iloc[[0, 2]].set_index('A')
g = df.groupby('A')
result1 = g.head(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.tail(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.head(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.tail(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
Example #10
| Source File: test_nth.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_nth_multi_index(three_group):
# PR 9090, related to issue 8979
# test nth on MultiIndex, should match .first()
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = grouped.first()
assert_frame_equal(result, expected)
Example #11
| Source File: test_nth.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_first_last_nth_dtypes(df_mixed_floats):
df = df_mixed_floats.copy()
df['E'] = True
df['F'] = 1
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(last, expected)
nth = grouped.nth(1)
expected = df.loc[[3, 2], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# GH 2763, first/last shifting dtypes
idx = lrange(10)
idx.append(9)
s = Series(data=lrange(11), index=idx, name='IntCol')
assert s.dtype == 'int64'
f = s.groupby(level=0).first()
assert f.dtype == 'int64'
Example #12
| Source File: test_nth.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nth_empty():
# GH 16064
df = DataFrame(index=[0], columns=['a', 'b', 'c'])
result = df.groupby('a').nth(10)
expected = DataFrame(index=Index([], name='a'), columns=['b', 'c'])
assert_frame_equal(result, expected)
result = df.groupby(['a', 'b']).nth(10)
expected = DataFrame(index=MultiIndex([[], []], [[], []],
names=['a', 'b']),
columns=['c'])
assert_frame_equal(result, expected)
Example #13
| Source File: test_nth.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nth_multi_index(self):
# PR 9090, related to issue 8979
# test nth on MultiIndex, should match .first()
grouped = self.three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = grouped.first()
assert_frame_equal(result, expected)
Example #14
| Source File: test_nth.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_first_last_nth_dtypes(self):
df = self.df_mixed_floats.copy()
df['E'] = True
df['F'] = 1
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(last, expected)
nth = grouped.nth(1)
expected = df.loc[[3, 2], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# GH 2763, first/last shifting dtypes
idx = lrange(10)
idx.append(9)
s = Series(data=lrange(11), index=idx, name='IntCol')
assert s.dtype == 'int64'
f = s.groupby(level=0).first()
assert f.dtype == 'int64'
Example #15
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_group_selection_cache():
# GH 12839 nth, head, and tail should return same result consistently
df = DataFrame([[1, 2], [1, 4], [5, 6]], columns=['A', 'B'])
expected = df.iloc[[0, 2]].set_index('A')
g = df.groupby('A')
result1 = g.head(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.tail(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.head(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.tail(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
Example #16
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_first_last_nth_dtypes(df_mixed_floats):
df = df_mixed_floats.copy()
df['E'] = True
df['F'] = 1
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(last, expected)
nth = grouped.nth(1)
expected = df.loc[[3, 2], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# GH 2763, first/last shifting dtypes
idx = lrange(10)
idx.append(9)
s = Series(data=lrange(11), index=idx, name='IntCol')
assert s.dtype == 'int64'
f = s.groupby(level=0).first()
assert f.dtype == 'int64'
Example #17
| Source File: test_nth.py From vnpy_crypto with MIT License | 5 votes |
|
def test_group_selection_cache():
# GH 12839 nth, head, and tail should return same result consistently
df = DataFrame([[1, 2], [1, 4], [5, 6]], columns=['A', 'B'])
expected = df.iloc[[0, 2]].set_index('A')
g = df.groupby('A')
result1 = g.head(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.tail(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.head(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.tail(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
Example #18
| Source File: test_nth.py From vnpy_crypto with MIT License | 5 votes |
|
def test_nth_multi_index(three_group):
# PR 9090, related to issue 8979
# test nth on MultiIndex, should match .first()
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = grouped.first()
assert_frame_equal(result, expected)
Example #19
| Source File: test_nth.py From vnpy_crypto with MIT License | 5 votes |
|
def test_first_last_nth_dtypes(df_mixed_floats):
df = df_mixed_floats.copy()
df['E'] = True
df['F'] = 1
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(last, expected)
nth = grouped.nth(1)
expected = df.loc[[3, 2], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# GH 2763, first/last shifting dtypes
idx = lrange(10)
idx.append(9)
s = Series(data=lrange(11), index=idx, name='IntCol')
assert s.dtype == 'int64'
f = s.groupby(level=0).first()
assert f.dtype == 'int64'
Example #20
| Source File: test_nth.py From recruit with Apache License 2.0 | 5 votes |
|
def test_group_selection_cache():
# GH 12839 nth, head, and tail should return same result consistently
df = DataFrame([[1, 2], [1, 4], [5, 6]], columns=['A', 'B'])
expected = df.iloc[[0, 2]].set_index('A')
g = df.groupby('A')
result1 = g.head(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.tail(n=2)
result2 = g.nth(0)
assert_frame_equal(result1, df)
assert_frame_equal(result2, expected)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.head(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
g = df.groupby('A')
result1 = g.nth(0)
result2 = g.tail(n=2)
assert_frame_equal(result1, expected)
assert_frame_equal(result2, df)
Example #21
| Source File: test_nth.py From recruit with Apache License 2.0 | 5 votes |
|
def test_nth_multi_index(three_group):
# PR 9090, related to issue 8979
# test nth on MultiIndex, should match .first()
grouped = three_group.groupby(['A', 'B'])
result = grouped.nth(0)
expected = grouped.first()
assert_frame_equal(result, expected)
Example #22
| Source File: test_nth.py From recruit with Apache License 2.0 | 5 votes |
|
def test_first_last_nth_dtypes(df_mixed_floats):
df = df_mixed_floats.copy()
df['E'] = True
df['F'] = 1
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(last, expected)
nth = grouped.nth(1)
expected = df.loc[[3, 2], ['B', 'C', 'D', 'E', 'F']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# GH 2763, first/last shifting dtypes
idx = lrange(10)
idx.append(9)
s = Series(data=lrange(11), index=idx, name='IntCol')
assert s.dtype == 'int64'
f = s.groupby(level=0).first()
assert f.dtype == 'int64'
Example #23
| Source File: test_nth.py From recruit with Apache License 2.0 | 4 votes |
|
def test_first_last_nth(df):
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
nth = grouped.nth(0)
assert_frame_equal(nth, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
assert_frame_equal(last, expected)
nth = grouped.nth(-1)
assert_frame_equal(nth, expected)
nth = grouped.nth(1)
expected = df.loc[[2, 3], ['B', 'C', 'D']].copy()
expected.index = Index(['foo', 'bar'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# it works!
grouped['B'].first()
grouped['B'].last()
grouped['B'].nth(0)
df.loc[df['A'] == 'foo', 'B'] = np.nan
assert isna(grouped['B'].first()['foo'])
assert isna(grouped['B'].last()['foo'])
assert isna(grouped['B'].nth(0)['foo'])
# v0.14.0 whatsnew
df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
g = df.groupby('A')
result = g.first()
expected = df.iloc[[1, 2]].set_index('A')
assert_frame_equal(result, expected)
expected = df.iloc[[1, 2]].set_index('A')
result = g.nth(0, dropna='any')
assert_frame_equal(result, expected)
Example #24
| Source File: test_nth.py From elasticintel with GNU General Public License v3.0 | 4 votes |
|
def test_first_last_nth(self):
# tests for first / last / nth
grouped = self.df.groupby('A')
first = grouped.first()
expected = self.df.loc[[1, 0], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
nth = grouped.nth(0)
assert_frame_equal(nth, expected)
last = grouped.last()
expected = self.df.loc[[5, 7], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
assert_frame_equal(last, expected)
nth = grouped.nth(-1)
assert_frame_equal(nth, expected)
nth = grouped.nth(1)
expected = self.df.loc[[2, 3], ['B', 'C', 'D']].copy()
expected.index = Index(['foo', 'bar'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# it works!
grouped['B'].first()
grouped['B'].last()
grouped['B'].nth(0)
self.df.loc[self.df['A'] == 'foo', 'B'] = np.nan
assert isna(grouped['B'].first()['foo'])
assert isna(grouped['B'].last()['foo'])
assert isna(grouped['B'].nth(0)['foo'])
# v0.14.0 whatsnew
df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
g = df.groupby('A')
result = g.first()
expected = df.iloc[[1, 2]].set_index('A')
assert_frame_equal(result, expected)
expected = df.iloc[[1, 2]].set_index('A')
result = g.nth(0, dropna='any')
assert_frame_equal(result, expected)
Example #25
| Source File: test_nth.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 4 votes |
|
def test_first_last_nth(df):
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
nth = grouped.nth(0)
assert_frame_equal(nth, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
assert_frame_equal(last, expected)
nth = grouped.nth(-1)
assert_frame_equal(nth, expected)
nth = grouped.nth(1)
expected = df.loc[[2, 3], ['B', 'C', 'D']].copy()
expected.index = Index(['foo', 'bar'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# it works!
grouped['B'].first()
grouped['B'].last()
grouped['B'].nth(0)
df.loc[df['A'] == 'foo', 'B'] = np.nan
assert isna(grouped['B'].first()['foo'])
assert isna(grouped['B'].last()['foo'])
assert isna(grouped['B'].nth(0)['foo'])
# v0.14.0 whatsnew
df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
g = df.groupby('A')
result = g.first()
expected = df.iloc[[1, 2]].set_index('A')
assert_frame_equal(result, expected)
expected = df.iloc[[1, 2]].set_index('A')
result = g.nth(0, dropna='any')
assert_frame_equal(result, expected)
Example #26
| Source File: test_nth.py From twitter-stock-recommendation with MIT License | 4 votes |
|
def test_first_last_nth(df):
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
nth = grouped.nth(0)
assert_frame_equal(nth, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
assert_frame_equal(last, expected)
nth = grouped.nth(-1)
assert_frame_equal(nth, expected)
nth = grouped.nth(1)
expected = df.loc[[2, 3], ['B', 'C', 'D']].copy()
expected.index = Index(['foo', 'bar'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# it works!
grouped['B'].first()
grouped['B'].last()
grouped['B'].nth(0)
df.loc[df['A'] == 'foo', 'B'] = np.nan
assert isna(grouped['B'].first()['foo'])
assert isna(grouped['B'].last()['foo'])
assert isna(grouped['B'].nth(0)['foo'])
# v0.14.0 whatsnew
df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
g = df.groupby('A')
result = g.first()
expected = df.iloc[[1, 2]].set_index('A')
assert_frame_equal(result, expected)
expected = df.iloc[[1, 2]].set_index('A')
result = g.nth(0, dropna='any')
assert_frame_equal(result, expected)
Example #27
| Source File: test_nth.py From vnpy_crypto with MIT License | 4 votes |
|
def test_first_last_nth(df):
# tests for first / last / nth
grouped = df.groupby('A')
first = grouped.first()
expected = df.loc[[1, 0], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
expected = expected.sort_index()
assert_frame_equal(first, expected)
nth = grouped.nth(0)
assert_frame_equal(nth, expected)
last = grouped.last()
expected = df.loc[[5, 7], ['B', 'C', 'D']]
expected.index = Index(['bar', 'foo'], name='A')
assert_frame_equal(last, expected)
nth = grouped.nth(-1)
assert_frame_equal(nth, expected)
nth = grouped.nth(1)
expected = df.loc[[2, 3], ['B', 'C', 'D']].copy()
expected.index = Index(['foo', 'bar'], name='A')
expected = expected.sort_index()
assert_frame_equal(nth, expected)
# it works!
grouped['B'].first()
grouped['B'].last()
grouped['B'].nth(0)
df.loc[df['A'] == 'foo', 'B'] = np.nan
assert isna(grouped['B'].first()['foo'])
assert isna(grouped['B'].last()['foo'])
assert isna(grouped['B'].nth(0)['foo'])
# v0.14.0 whatsnew
df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
g = df.groupby('A')
result = g.first()
expected = df.iloc[[1, 2]].set_index('A')
assert_frame_equal(result, expected)
expected = df.iloc[[1, 2]].set_index('A')
result = g.nth(0, dropna='any')
assert_frame_equal(result, expected)
