本文整理汇总了Python中pandas.core.dtypes.common.is_float_dtype方法的典型用法代码示例。如果您正苦于以下问题：Python common.is_float_dtype方法的具体用法？Python common.is_float_dtype怎么用？Python common.is_float_dtype使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.core.dtypes.common的用法示例。
在下文中一共展示了common.is_float_dtype方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_set_value
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_set_value(self):
for item in self.panel.items:
for mjr in self.panel.major_axis[::2]:
for mnr in self.panel.minor_axis:
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
self.panel.set_value(item, mjr, mnr, 1.)
tm.assert_almost_equal(self.panel[item][mnr][mjr], 1.)
# resize
with catch_warnings():
simplefilter("ignore", FutureWarning)
res = self.panel.set_value('ItemE', 'foo', 'bar', 1.5)
assert isinstance(res, Panel)
assert res is not self.panel
assert res.get_value('ItemE', 'foo', 'bar') == 1.5
res3 = self.panel.set_value('ItemE', 'foobar', 'baz', 5)
assert is_float_dtype(res3['ItemE'].values)
msg = ("There must be an argument for each "
"axis plus the value provided")
with pytest.raises(TypeError, match=msg):
self.panel.set_value('a') 示例2: test_set_value
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_set_value(self):
with catch_warnings(record=True):
for item in self.panel.items:
for mjr in self.panel.major_axis[::2]:
for mnr in self.panel.minor_axis:
self.panel.set_value(item, mjr, mnr, 1.)
tm.assert_almost_equal(self.panel[item][mnr][mjr], 1.)
# resize
res = self.panel.set_value('ItemE', 'foo', 'bar', 1.5)
assert isinstance(res, Panel)
assert res is not self.panel
assert res.get_value('ItemE', 'foo', 'bar') == 1.5
res3 = self.panel.set_value('ItemE', 'foobar', 'baz', 5)
assert is_float_dtype(res3['ItemE'].values)
msg = ("There must be an argument for each "
"axis plus the value provided")
with tm.assert_raises_regex(TypeError, msg):
self.panel.set_value('a') 示例3: test_set_value
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_set_value(self):
with catch_warnings(record=True):
for label in self.panel4d.labels:
for item in self.panel4d.items:
for mjr in self.panel4d.major_axis[::2]:
for mnr in self.panel4d.minor_axis:
self.panel4d.set_value(label, item, mjr, mnr, 1.)
tm.assert_almost_equal(
self.panel4d[label][item][mnr][mjr], 1.)
res3 = self.panel4d.set_value('l4', 'ItemE', 'foobar', 'baz', 5)
assert is_float_dtype(res3['l4'].values)
# resize
res = self.panel4d.set_value('l4', 'ItemE', 'foo', 'bar', 1.5)
assert isinstance(res, Panel4D)
assert res is not self.panel4d
assert res.get_value('l4', 'ItemE', 'foo', 'bar') == 1.5
res3 = self.panel4d.set_value('l4', 'ItemE', 'foobar', 'baz', 5)
assert is_float_dtype(res3['l4'].values) 示例4: test_delevel_infer_dtype
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_delevel_infer_dtype(self):
tuples = [tuple
for tuple in cart_product(
['foo', 'bar'], [10, 20], [1.0, 1.1])]
index = MultiIndex.from_tuples(tuples, names=['prm0', 'prm1', 'prm2'])
df = DataFrame(np.random.randn(8, 3), columns=['A', 'B', 'C'],
index=index)
deleveled = df.reset_index()
assert is_integer_dtype(deleveled['prm1'])
assert is_float_dtype(deleveled['prm2']) 示例5: test_setitem_dtype_upcast
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_setitem_dtype_upcast(self):
# GH3216
df = DataFrame([{"a": 1}, {"a": 3, "b": 2}])
df['c'] = np.nan
assert df['c'].dtype == np.float64
df.loc[0, 'c'] = 'foo'
expected = DataFrame([{"a": 1, "c": 'foo'},
{"a": 3, "b": 2, "c": np.nan}])
tm.assert_frame_equal(df, expected)
# GH10280
df = DataFrame(np.arange(6, dtype='int64').reshape(2, 3),
index=list('ab'),
columns=['foo', 'bar', 'baz'])
for val in [3.14, 'wxyz']:
left = df.copy()
left.loc['a', 'bar'] = val
right = DataFrame([[0, val, 2], [3, 4, 5]], index=list('ab'),
columns=['foo', 'bar', 'baz'])
tm.assert_frame_equal(left, right)
assert is_integer_dtype(left['foo'])
assert is_integer_dtype(left['baz'])
left = DataFrame(np.arange(6, dtype='int64').reshape(2, 3) / 10.0,
index=list('ab'),
columns=['foo', 'bar', 'baz'])
left.loc['a', 'bar'] = 'wxyz'
right = DataFrame([[0, 'wxyz', .2], [.3, .4, .5]], index=list('ab'),
columns=['foo', 'bar', 'baz'])
tm.assert_frame_equal(left, right)
assert is_float_dtype(left['foo'])
assert is_float_dtype(left['baz']) 示例6: test_set_value_resize
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_set_value_resize(self):
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res = self.frame.set_value('foobar', 'B', 0)
assert res is self.frame
assert res.index[-1] == 'foobar'
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert res.get_value('foobar', 'B') == 0
self.frame.loc['foobar', 'qux'] = 0
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert self.frame.get_value('foobar', 'qux') == 0
res = self.frame.copy()
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res3 = res.set_value('foobar', 'baz', 'sam')
assert res3['baz'].dtype == np.object_
res = self.frame.copy()
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res3 = res.set_value('foobar', 'baz', True)
assert res3['baz'].dtype == np.object_
res = self.frame.copy()
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res3 = res.set_value('foobar', 'baz', 5)
assert is_float_dtype(res3['baz'])
assert isna(res3['baz'].drop(['foobar'])).all()
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
pytest.raises(ValueError, res3.set_value, 'foobar', 'baz', 'sam') 示例7: test_is_float_dtype
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_float_dtype [as 别名]
def test_is_float_dtype():
assert not com.is_float_dtype(str)
assert not com.is_float_dtype(int)
assert not com.is_float_dtype(pd.Series([1, 2]))
assert not com.is_float_dtype(np.array(['a', 'b']))
assert com.is_float_dtype(float)
assert com.is_float_dtype(pd.Index([1, 2.]))