Python pandas.core.dtypes.common.is_numeric_dtype() Examples

The following are 6 code examples of pandas.core.dtypes.common.is_numeric_dtype(). 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.dtypes.common , or try the search function .
Example #1
Source File: test_common.py    From recruit with Apache License 2.0 5 votes vote down vote up
def test_is_numeric_dtype():
    assert not com.is_numeric_dtype(str)
    assert not com.is_numeric_dtype(np.datetime64)
    assert not com.is_numeric_dtype(np.timedelta64)
    assert not com.is_numeric_dtype(np.array(['a', 'b']))
    assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))

    assert com.is_numeric_dtype(int)
    assert com.is_numeric_dtype(float)
    assert com.is_numeric_dtype(np.uint64)
    assert com.is_numeric_dtype(pd.Series([1, 2]))
    assert com.is_numeric_dtype(pd.Index([1, 2.])) 
Example #2
Source File: test_common.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_is_numeric_dtype():
    assert not com.is_numeric_dtype(str)
    assert not com.is_numeric_dtype(np.datetime64)
    assert not com.is_numeric_dtype(np.timedelta64)
    assert not com.is_numeric_dtype(np.array(['a', 'b']))
    assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))

    assert com.is_numeric_dtype(int)
    assert com.is_numeric_dtype(float)
    assert com.is_numeric_dtype(np.uint64)
    assert com.is_numeric_dtype(pd.Series([1, 2]))
    assert com.is_numeric_dtype(pd.Index([1, 2.])) 
Example #3
Source File: test_common.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def test_is_numeric_dtype():
    assert not com.is_numeric_dtype(str)
    assert not com.is_numeric_dtype(np.datetime64)
    assert not com.is_numeric_dtype(np.timedelta64)
    assert not com.is_numeric_dtype(np.array(['a', 'b']))
    assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))

    assert com.is_numeric_dtype(int)
    assert com.is_numeric_dtype(float)
    assert com.is_numeric_dtype(np.uint64)
    assert com.is_numeric_dtype(pd.Series([1, 2]))
    assert com.is_numeric_dtype(pd.Index([1, 2.])) 
Example #4
Source File: test_common.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_is_numeric_dtype():
    assert not com.is_numeric_dtype(str)
    assert not com.is_numeric_dtype(np.datetime64)
    assert not com.is_numeric_dtype(np.timedelta64)
    assert not com.is_numeric_dtype(np.array(['a', 'b']))
    assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))

    assert com.is_numeric_dtype(int)
    assert com.is_numeric_dtype(float)
    assert com.is_numeric_dtype(np.uint64)
    assert com.is_numeric_dtype(pd.Series([1, 2]))
    assert com.is_numeric_dtype(pd.Index([1, 2.])) 
Example #5
Source File: data.py    From modin with Apache License 2.0 5 votes vote down vote up
def _numeric_columns(self, include_bool=True):
        """Returns the numeric columns of the Manager.

        Returns:
            List of index names.
        """
        columns = []
        for col, dtype in zip(self.columns, self.dtypes):
            if is_numeric_dtype(dtype) and (
                include_bool or (not include_bool and dtype != np.bool_)
            ):
                columns.append(col)
        return columns 
Example #6
Source File: test_common.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_is_numeric_dtype():
    assert not com.is_numeric_dtype(str)
    assert not com.is_numeric_dtype(np.datetime64)
    assert not com.is_numeric_dtype(np.timedelta64)
    assert not com.is_numeric_dtype(np.array(['a', 'b']))
    assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))

    assert com.is_numeric_dtype(int)
    assert com.is_numeric_dtype(float)
    assert com.is_numeric_dtype(np.uint64)
    assert com.is_numeric_dtype(pd.Series([1, 2]))
    assert com.is_numeric_dtype(pd.Index([1, 2.]))