Python pandas.core.internals.ExtensionBlock() Examples

The following are 22 code examples of pandas.core.internals.ExtensionBlock(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.core.internals , or try the search function .
Example #1
Source File: reshaping.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_concat(self, data, in_frame):
        wrapped = pd.Series(data)
        if in_frame:
            wrapped = pd.DataFrame(wrapped)
        result = pd.concat([wrapped, wrapped], ignore_index=True)

        assert len(result) == len(data) * 2

        if in_frame:
            dtype = result.dtypes[0]
        else:
            dtype = result.dtype

        assert dtype == data.dtype
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #2
Source File: reshaping.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_concat(self, data, in_frame):
        wrapped = pd.Series(data)
        if in_frame:
            wrapped = pd.DataFrame(wrapped)
        result = pd.concat([wrapped, wrapped], ignore_index=True)

        assert len(result) == len(data) * 2

        if in_frame:
            dtype = result.dtypes[0]
        else:
            dtype = result.dtype

        assert dtype == data.dtype
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #3
Source File: constructors.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_dataframe_from_series(self, data):
        result = pd.DataFrame(pd.Series(data))
        assert result.dtypes[0] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #4
Source File: constructors.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_dataframe_constructor_from_dict(self, data, from_series):
        if from_series:
            data = pd.Series(data)
        result = pd.DataFrame({"A": data})
        assert result.dtypes['A'] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #5
Source File: constructors.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_series_constructor(self, data):
        result = pd.Series(data)
        assert result.dtype == data.dtype
        assert len(result) == len(data)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
        assert result._data.blocks[0].values is data

        # Series[EA] is unboxed / boxed correctly
        result2 = pd.Series(result)
        assert result2.dtype == data.dtype
        assert isinstance(result2._data.blocks[0], ExtensionBlock)
Example #6
Source File: reshaping.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_concat(self, data, in_frame):
        wrapped = pd.Series(data)
        if in_frame:
            wrapped = pd.DataFrame(wrapped)
        result = pd.concat([wrapped, wrapped], ignore_index=True)

        assert len(result) == len(data) * 2

        if in_frame:
            dtype = result.dtypes[0]
        else:
            dtype = result.dtype

        assert dtype == data.dtype
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #7
Source File: constructors.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_dataframe_from_series(self, data):
        result = pd.DataFrame(pd.Series(data))
        assert result.dtypes[0] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #8
Source File: constructors.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_dataframe_constructor_from_dict(self, data, from_series):
        if from_series:
            data = pd.Series(data)
        result = pd.DataFrame({"A": data})
        assert result.dtypes['A'] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #9
Source File: constructors.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_series_constructor(self, data):
        result = pd.Series(data)
        assert result.dtype == data.dtype
        assert len(result) == len(data)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
        assert result._data.blocks[0].values is data

        # Series[EA] is unboxed / boxed correctly
        result2 = pd.Series(result)
        assert result2.dtype == data.dtype
        assert isinstance(result2._data.blocks[0], ExtensionBlock)
Example #10
Source File: test_ip_pandas.py    From cyberpandas with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def test_series_constructor():
    v = ip.IPArray.from_pyints([1, 2, 3])
    result = pd.Series(v)
    assert result.dtype == v.dtype
    assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #11
Source File: test_pandas_integration.py    From fletcher with MIT License 5 votes vote down vote up 
def test_series_constructor():
    v = fr.FletcherChunkedArray(TEST_ARRAY)
    result = pd.Series(v)
    assert result.dtype == v.dtype
    assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #12
Source File: constructors.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_series_constructor(self, data):
        result = pd.Series(data)
        assert result.dtype == data.dtype
        assert len(result) == len(data)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
        assert result._data.blocks[0].values is data

        # Series[EA] is unboxed / boxed correctly
        result2 = pd.Series(result)
        assert result2.dtype == data.dtype
        assert isinstance(result2._data.blocks[0], ExtensionBlock)
Example #13
Source File: constructors.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_dataframe_from_series(self, data):
        result = pd.DataFrame(pd.Series(data))
        assert result.dtypes[0] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #14
Source File: constructors.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_dataframe_constructor_from_dict(self, data, from_series):
        if from_series:
            data = pd.Series(data)
        result = pd.DataFrame({"A": data})
        assert result.dtypes['A'] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #15
Source File: constructors.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_series_constructor(self, data):
        result = pd.Series(data)
        assert result.dtype == data.dtype
        assert len(result) == len(data)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
        assert result._data.blocks[0].values is data

        # Series[EA] is unboxed / boxed correctly
        result2 = pd.Series(result)
        assert result2.dtype == data.dtype
        assert isinstance(result2._data.blocks[0], ExtensionBlock)
Example #16
Source File: reshaping.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_concat(self, data, in_frame):
        wrapped = pd.Series(data)
        if in_frame:
            wrapped = pd.DataFrame(wrapped)
        result = pd.concat([wrapped, wrapped], ignore_index=True)

        assert len(result) == len(data) * 2

        if in_frame:
            dtype = result.dtypes[0]
        else:
            dtype = result.dtype

        assert dtype == data.dtype
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #17
Source File: constructors.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_dataframe_from_series(self, data):
        result = pd.DataFrame(pd.Series(data))
        assert result.dtypes[0] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #18
Source File: constructors.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_dataframe_constructor_from_dict(self, data, from_series):
        if from_series:
            data = pd.Series(data)
        result = pd.DataFrame({"A": data})
        assert result.dtypes['A'] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #19
Source File: constructors.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_series_constructor(self, data):
        result = pd.Series(data)
        assert result.dtype == data.dtype
        assert len(result) == len(data)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
        assert result._data.blocks[0].values is data

        # Series[EA] is unboxed / boxed correctly
        result2 = pd.Series(result)
        assert result2.dtype == data.dtype
        assert isinstance(result2._data.blocks[0], ExtensionBlock)
Example #20
Source File: reshaping.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_concat(self, data, in_frame):
        wrapped = pd.Series(data)
        if in_frame:
            wrapped = pd.DataFrame(wrapped)
        result = pd.concat([wrapped, wrapped], ignore_index=True)

        assert len(result) == len(data) * 2

        if in_frame:
            dtype = result.dtypes[0]
        else:
            dtype = result.dtype

        assert dtype == data.dtype
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #21
Source File: constructors.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_dataframe_from_series(self, data):
        result = pd.DataFrame(pd.Series(data))
        assert result.dtypes[0] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)
Example #22
Source File: constructors.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_dataframe_constructor_from_dict(self, data, from_series):
        if from_series:
            data = pd.Series(data)
        result = pd.DataFrame({"A": data})
        assert result.dtypes['A'] == data.dtype
        assert result.shape == (len(data), 1)
        assert isinstance(result._data.blocks[0], ExtensionBlock)