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Python util.hash_array方法代码示例

本文整理汇总了Python中pandas.util.hash_array方法的典型用法代码示例。如果您正苦于以下问题：Python util.hash_array方法的具体用法？Python util.hash_array怎么用？Python util.hash_array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.util的用法示例。


在下文中一共展示了util.hash_array方法的13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_hash_collisions

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_collisions():
    # Hash collisions are bad.
    #
    # https://github.com/pandas-dev/pandas/issues/14711#issuecomment-264885726
    hashes = ["Ingrid-9Z9fKIZmkO7i7Cn51Li34pJm44fgX6DYGBNj3VPlOH50m7HnBlPxfIwFMrcNJNMP6PSgLmwWnInciMWrCSAlLEvt7JkJl4IxiMrVbXSa8ZQoVaq5xoQPjltuJEfwdNlO6jo8qRRHvD8sBEBMQASrRa6TsdaPTPCBo3nwIBpE7YzzmyH0vMBhjQZLx1aCT7faSEx7PgFxQhHdKFWROcysamgy9iVj8DO2Fmwg1NNl93rIAqC3mdqfrCxrzfvIY8aJdzin2cHVzy3QUJxZgHvtUtOLxoqnUHsYbNTeq0xcLXpTZEZCxD4PGubIuCNf32c33M7HFsnjWSEjE2yVdWKhmSVodyF8hFYVmhYnMCztQnJrt3O8ZvVRXd5IKwlLexiSp4h888w7SzAIcKgc3g5XQJf6MlSMftDXm9lIsE1mJNiJEv6uY6pgvC3fUPhatlR5JPpVAHNSbSEE73MBzJrhCAbOLXQumyOXigZuPoME7QgJcBalliQol7YZ9",  # noqa
              "Tim-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"]  # noqa

    # These should be different.
    result1 = hash_array(np.asarray(hashes[0:1], dtype=object), "utf8")
    expected1 = np.array([14963968704024874985], dtype=np.uint64)
    tm.assert_numpy_array_equal(result1, expected1)

    result2 = hash_array(np.asarray(hashes[1:2], dtype=object), "utf8")
    expected2 = np.array([16428432627716348016], dtype=np.uint64)
    tm.assert_numpy_array_equal(result2, expected2)

    result = hash_array(np.asarray(hashes, dtype=object), "utf8")
    tm.assert_numpy_array_equal(result, np.concatenate([expected1,
                                                        expected2], axis=0))
开发者ID:Frank-qlu，项目名称:recruit，代码行数:21，代码来源:test_hashing.py

示例2: test_hash_collisions

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_collisions(self):

        # hash collisions are bad
        # https://github.com/pandas-dev/pandas/issues/14711#issuecomment-264885726
        L = ['Ingrid-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',  # noqa
             'Tim-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']  # noqa

        # these should be different!
        result1 = hash_array(np.asarray(L[0:1], dtype=object), 'utf8')
        expected1 = np.array([14963968704024874985], dtype=np.uint64)
        tm.assert_numpy_array_equal(result1, expected1)

        result2 = hash_array(np.asarray(L[1:2], dtype=object), 'utf8')
        expected2 = np.array([16428432627716348016], dtype=np.uint64)
        tm.assert_numpy_array_equal(result2, expected2)

        result = hash_array(np.asarray(L, dtype=object), 'utf8')
        tm.assert_numpy_array_equal(
            result, np.concatenate([expected1, expected2], axis=0))
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:21，代码来源:test_hashing.py

示例3: test_hash_array

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array(series):
    arr = series.values
    tm.assert_numpy_array_equal(hash_array(arr), hash_array(arr))
开发者ID:Frank-qlu，项目名称:recruit，代码行数:5，代码来源:test_hashing.py

示例4: test_hash_array_mixed

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array_mixed(arr2):
    result1 = hash_array(np.array(["3", "4", "All"]))
    result2 = hash_array(arr2)

    tm.assert_numpy_array_equal(result1, result2)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:7，代码来源:test_hashing.py

示例5: test_hash_array_errors

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array_errors(val):
    msg = "must pass a ndarray-like"
    with pytest.raises(TypeError, match=msg):
        hash_array(val)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:6，代码来源:test_hashing.py

示例6: test_hash_scalar

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_scalar(val):
    result = _hash_scalar(val)
    expected = hash_array(np.array([val], dtype=object), categorize=True)

    assert result[0] == expected[0]
开发者ID:Frank-qlu，项目名称:recruit，代码行数:7，代码来源:test_hashing.py

示例7: test_categorical_with_nan_consistency

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_categorical_with_nan_consistency():
    c = pd.Categorical.from_codes(
        [-1, 0, 1, 2, 3, 4],
        categories=pd.date_range("2012-01-01", periods=5, name="B"))
    expected = hash_array(c, categorize=False)

    c = pd.Categorical.from_codes(
        [-1, 0],
        categories=[pd.Timestamp("2012-01-01")])
    result = hash_array(c, categorize=False)

    assert result[0] in expected
    assert result[1] in expected
开发者ID:Frank-qlu，项目名称:recruit，代码行数:15，代码来源:test_hashing.py

示例8: test_hash_array

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array(self):
        for name, s in self.df.iteritems():
            a = s.values
            tm.assert_numpy_array_equal(hash_array(a), hash_array(a))
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:6，代码来源:test_hashing.py

示例9: test_hash_array_mixed

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array_mixed(self):
        result1 = hash_array(np.array([3, 4, 'All']))
        result2 = hash_array(np.array(['3', '4', 'All']))
        result3 = hash_array(np.array([3, 4, 'All'], dtype=object))
        tm.assert_numpy_array_equal(result1, result2)
        tm.assert_numpy_array_equal(result1, result3)
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:8，代码来源:test_hashing.py

示例10: test_hash_array_errors

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_array_errors(self):

        for val in [5, 'foo', pd.Timestamp('20130101')]:
            pytest.raises(TypeError, hash_array, val)
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:6，代码来源:test_hashing.py

示例11: test_hash_scalar

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_hash_scalar(self):
        for val in [1, 1.4, 'A', b'A', u'A', pd.Timestamp("2012-01-01"),
                    pd.Timestamp("2012-01-01", tz='Europe/Brussels'),
                    datetime.datetime(2012, 1, 1),
                    pd.Timestamp("2012-01-01", tz='EST').to_pydatetime(),
                    pd.Timedelta('1 days'), datetime.timedelta(1),
                    pd.Period('2012-01-01', freq='D'), pd.Interval(0, 1),
                    np.nan, pd.NaT, None]:
            result = _hash_scalar(val)
            expected = hash_array(np.array([val], dtype=object),
                                  categorize=True)
            assert result[0] == expected[0]
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:14，代码来源:test_hashing.py

示例12: test_categorical_with_nan_consistency

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_categorical_with_nan_consistency(self):
        c = pd.Categorical.from_codes(
            [-1, 0, 1, 2, 3, 4],
            categories=pd.date_range('2012-01-01', periods=5, name='B'))
        expected = hash_array(c, categorize=False)
        c = pd.Categorical.from_codes(
            [-1, 0],
            categories=[pd.Timestamp('2012-01-01')])
        result = hash_array(c, categorize=False)
        assert result[0] in expected
        assert result[1] in expected
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:13，代码来源:test_hashing.py

示例13: test_deprecation

# 需要导入模块: from pandas import util [as 别名]
# 或者: from pandas.util import hash_array [as 别名]
def test_deprecation():

    with tm.assert_produces_warning(DeprecationWarning,
                                    check_stacklevel=False):
        from pandas.tools.hashing import hash_pandas_object
        obj = Series(list('abc'))
        hash_pandas_object(obj, hash_key='9876543210123456')

    with tm.assert_produces_warning(DeprecationWarning,
                                    check_stacklevel=False):
        from pandas.tools.hashing import hash_array
        obj = np.array([1, 2, 3])
        hash_array(obj, hash_key='9876543210123456')
开发者ID:securityclippy，项目名称:elasticintel，代码行数:15，代码来源:test_hashing.py


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