Python pandas._libs.lib.maybe_convert_numeric() Examples
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code examples of pandas._libs.lib.maybe_convert_numeric().
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Example #1
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_convert_numeric_uint64_nan(self, coerce, arr): expected = arr.astype(float) if coerce else arr.copy() result = lib.maybe_convert_numeric(arr, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #2
Source File: test_inference.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_scientific_no_exponent(self): # See PR 12215 arr = np.array(['42E', '2E', '99e', '6e'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False, True) assert np.all(np.isnan(result))
Example #3
Source File: test_inference.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_convert_non_hashable(self): # GH13324 # make sure that we are handing non-hashables arr = np.array([[10.0, 2], 1.0, 'apple']) result = lib.maybe_convert_numeric(arr, set(), False, True) tm.assert_numpy_array_equal(result, np.array([np.nan, 1.0, np.nan]))
Example #4
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_maybe_convert_numeric_infinities(self): # see gh-13274 infinities = ['inf', 'inF', 'iNf', 'Inf', 'iNF', 'InF', 'INf', 'INF'] na_values = {'', 'NULL', 'nan'} pos = np.array(['inf'], dtype=np.float64) neg = np.array(['-inf'], dtype=np.float64) msg = "Unable to parse string" for infinity in infinities: for maybe_int in (True, False): out = lib.maybe_convert_numeric( np.array([infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['-' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, neg) out = lib.maybe_convert_numeric( np.array([u(infinity)], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['+' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) # too many characters with pytest.raises(ValueError, match=msg): lib.maybe_convert_numeric( np.array(['foo_' + infinity], dtype=object), na_values, maybe_int)
Example #5
Source File: test_inference.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_convert_numeric_uint64_nan_values(self, coerce): arr = np.array([2**63, 2**63 + 1], dtype=object) na_values = {2**63} expected = (np.array([np.nan, 2**63 + 1], dtype=float) if coerce else arr.copy()) result = lib.maybe_convert_numeric(arr, na_values, coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #6
Source File: test_inference.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_convert_numeric_int64_uint64(self, case, coerce): expected = case.astype(float) if coerce else case.copy() result = lib.maybe_convert_numeric(case, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #7
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_maybe_convert_numeric_infinities(self): # see gh-13274 infinities = ['inf', 'inF', 'iNf', 'Inf', 'iNF', 'InF', 'INf', 'INF'] na_values = set(['', 'NULL', 'nan']) pos = np.array(['inf'], dtype=np.float64) neg = np.array(['-inf'], dtype=np.float64) msg = "Unable to parse string" for infinity in infinities: for maybe_int in (True, False): out = lib.maybe_convert_numeric( np.array([infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['-' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, neg) out = lib.maybe_convert_numeric( np.array([u(infinity)], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['+' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) # too many characters with tm.assert_raises_regex(ValueError, msg): lib.maybe_convert_numeric( np.array(['foo_' + infinity], dtype=object), na_values, maybe_int)
Example #8
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_maybe_convert_numeric_post_floatify_nan(self): # see gh-13314 data = np.array(['1.200', '-999.000', '4.500'], dtype=object) expected = np.array([1.2, np.nan, 4.5], dtype=np.float64) nan_values = set([-999, -999.0]) for coerce_type in (True, False): out = lib.maybe_convert_numeric(data, nan_values, coerce_type) tm.assert_numpy_array_equal(out, expected)
Example #9
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_convert_infs(self): arr = np.array(['inf', 'inf', 'inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64 arr = np.array(['-inf', '-inf', '-inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64
Example #10
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_scientific_no_exponent(self): # See PR 12215 arr = np.array(['42E', '2E', '99e', '6e'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False, True) assert np.all(np.isnan(result))
Example #11
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_convert_non_hashable(self): # GH13324 # make sure that we are handing non-hashables arr = np.array([[10.0, 2], 1.0, 'apple']) result = lib.maybe_convert_numeric(arr, set(), False, True) tm.assert_numpy_array_equal(result, np.array([np.nan, 1.0, np.nan]))
Example #12
Source File: test_inference.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_convert_numeric_uint64_nan(self, coerce, arr): expected = arr.astype(float) if coerce else arr.copy() result = lib.maybe_convert_numeric(arr, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #13
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_convert_numeric_uint64_nan_values(self, coerce): arr = np.array([2**63, 2**63 + 1], dtype=object) na_values = set([2**63]) expected = (np.array([np.nan, 2**63 + 1], dtype=float) if coerce else arr.copy()) result = lib.maybe_convert_numeric(arr, na_values, coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #14
Source File: test_inference.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_convert_numeric_int64_uint64(self, case, coerce): expected = case.astype(float) if coerce else case.copy() result = lib.maybe_convert_numeric(case, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #15
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_maybe_convert_numeric_infinities(self): # see gh-13274 infinities = ['inf', 'inF', 'iNf', 'Inf', 'iNF', 'InF', 'INf', 'INF'] na_values = set(['', 'NULL', 'nan']) pos = np.array(['inf'], dtype=np.float64) neg = np.array(['-inf'], dtype=np.float64) msg = "Unable to parse string" for infinity in infinities: for maybe_int in (True, False): out = lib.maybe_convert_numeric( np.array([infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['-' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, neg) out = lib.maybe_convert_numeric( np.array([u(infinity)], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) out = lib.maybe_convert_numeric( np.array(['+' + infinity], dtype=object), na_values, maybe_int) tm.assert_numpy_array_equal(out, pos) # too many characters with tm.assert_raises_regex(ValueError, msg): lib.maybe_convert_numeric( np.array(['foo_' + infinity], dtype=object), na_values, maybe_int)
Example #16
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_maybe_convert_numeric_post_floatify_nan(self, coerce): # see gh-13314 data = np.array(['1.200', '-999.000', '4.500'], dtype=object) expected = np.array([1.2, np.nan, 4.5], dtype=np.float64) nan_values = set([-999, -999.0]) out = lib.maybe_convert_numeric(data, nan_values, coerce) tm.assert_numpy_array_equal(out, expected)
Example #17
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_convert_infs(self): arr = np.array(['inf', 'inf', 'inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64 arr = np.array(['-inf', '-inf', '-inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64
Example #18
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_scientific_no_exponent(self): # See PR 12215 arr = np.array(['42E', '2E', '99e', '6e'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False, True) assert np.all(np.isnan(result))
Example #19
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_convert_non_hashable(self): # GH13324 # make sure that we are handing non-hashables arr = np.array([[10.0, 2], 1.0, 'apple']) result = lib.maybe_convert_numeric(arr, set(), False, True) tm.assert_numpy_array_equal(result, np.array([np.nan, 1.0, np.nan]))
Example #20
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_convert_numeric_uint64_nan(self, coerce, arr): expected = arr.astype(float) if coerce else arr.copy() result = lib.maybe_convert_numeric(arr, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #21
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_convert_numeric_uint64_nan_values(self, coerce): arr = np.array([2**63, 2**63 + 1], dtype=object) na_values = set([2**63]) expected = (np.array([np.nan, 2**63 + 1], dtype=float) if coerce else arr.copy()) result = lib.maybe_convert_numeric(arr, na_values, coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #22
Source File: test_inference.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_convert_numeric_int64_uint64(self, case, coerce): expected = case.astype(float) if coerce else case.copy() result = lib.maybe_convert_numeric(case, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #23
Source File: test_inference.py From vnpy_crypto with MIT License | 5 votes |
def test_scientific_no_exponent(self): # See PR 12215 arr = np.array(['42E', '2E', '99e', '6e'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False, True) assert np.all(np.isnan(result))
Example #24
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_maybe_convert_numeric_post_floatify_nan(self, coerce): # see gh-13314 data = np.array(['1.200', '-999.000', '4.500'], dtype=object) expected = np.array([1.2, np.nan, 4.5], dtype=np.float64) nan_values = {-999, -999.0} out = lib.maybe_convert_numeric(data, nan_values, coerce) tm.assert_numpy_array_equal(out, expected)
Example #25
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_convert_infs(self): arr = np.array(['inf', 'inf', 'inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64 arr = np.array(['-inf', '-inf', '-inf'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False) assert result.dtype == np.float64
Example #26
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_scientific_no_exponent(self): # See PR 12215 arr = np.array(['42E', '2E', '99e', '6e'], dtype='O') result = lib.maybe_convert_numeric(arr, set(), False, True) assert np.all(np.isnan(result))
Example #27
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_convert_non_hashable(self): # GH13324 # make sure that we are handing non-hashables arr = np.array([[10.0, 2], 1.0, 'apple']) result = lib.maybe_convert_numeric(arr, set(), False, True) tm.assert_numpy_array_equal(result, np.array([np.nan, 1.0, np.nan]))
Example #28
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_convert_numeric_uint64_nan(self, coerce, arr): expected = arr.astype(float) if coerce else arr.copy() result = lib.maybe_convert_numeric(arr, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #29
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_convert_numeric_uint64_nan_values(self, coerce): arr = np.array([2**63, 2**63 + 1], dtype=object) na_values = {2**63} expected = (np.array([np.nan, 2**63 + 1], dtype=float) if coerce else arr.copy()) result = lib.maybe_convert_numeric(arr, na_values, coerce_numeric=coerce) tm.assert_almost_equal(result, expected)
Example #30
Source File: test_inference.py From recruit with Apache License 2.0 | 5 votes |
def test_convert_numeric_int64_uint64(self, case, coerce): expected = case.astype(float) if coerce else case.copy() result = lib.maybe_convert_numeric(case, set(), coerce_numeric=coerce) tm.assert_almost_equal(result, expected)