Python numpy.recfromtxt() Examples
The following are 30 code examples for showing how to use numpy.recfromtxt(). These examples are extracted from open source projects. 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.
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Example 1
Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 2
Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 3
Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 4
Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 5
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 6 votes |
def _get_data(): filepath = dirname(abspath(__file__)) ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv ##### names = ["NABOVE","NBELOW","LOWINC","PERASIAN","PERBLACK","PERHISP", "PERMINTE","AVYRSEXP","AVSALK","PERSPENK","PTRATIO","PCTAF", "PCTCHRT","PCTYRRND","PERMINTE_AVYRSEXP","PERMINTE_AVSAL", "AVYRSEXP_AVSAL","PERSPEN_PTRATIO","PERSPEN_PCTAF","PTRATIO_PCTAF", "PERMINTE_AVYRSEXP_AVSAL","PERSPEN_PTRATIO_PCTAF"] with open(filepath + '/star98.csv',"rb") as f: data = recfromtxt(f, delimiter=",", names=names, skip_header=1, dtype=float) # careful now nabove = data['NABOVE'].copy() nbelow = data['NBELOW'].copy() data['NABOVE'] = nbelow # successes data['NBELOW'] = nabove - nbelow # now failures return data
Example 6
Project: Computable Author: ktraunmueller File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 7
Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 8
Project: GraphicDesignPatternByPython Author: Relph1119 File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 9
Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_io.py License: Apache License 2.0 | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 10
Project: pySINDy Author: luckystarufo File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 11
Project: mxnet-lambda Author: awslabs File: test_io.py License: Apache License 2.0 | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 12
Project: pseudonetcdf Author: barronh File: _newbpch.py License: GNU Lesser General Public License v3.0 | 6 votes |
def _getdiaginfo(self, path): dpath = os.path.join(os.path.dirname(path), 'diaginfo.dat') if not os.path.exists(dpath): dpath = 'diaginfo.dat' self._ddata = np.recfromtxt(dpath, dtype=None, comments='#', names=[ 'offset', 'category', 'comment'], delimiter=[9, 40, 100], autostrip=True) # OFFSET (I8 ) Constant to add to tracer numbers in order to distinguish # for the given diagnostic category, as stored in file # "tracerinfo.dat". OFFSET may be up to 8 digits long. # -- (1X ) 1-character spacer # CATEGORY (A40) Category name for CTM diagnostics. NOTE: The category name # can be up to 40 chars long, but historically the GEOS-CHEM # and GISS models have used an 8-character category name. # COMMENT (A ) Descriptive comment string # # -- (1X ) 1-character spacer
Example 13
Project: pseudonetcdf Author: barronh File: _aermod_plotfile.py License: GNU Lesser General Public License v3.0 | 6 votes |
def __init__(self, path): # import pdb; pdb.set_trace() self._data = np.recfromtxt( path, names=names, delimiter=delimiter, comments='*') self.createDimension('receptor', self._data.size) self.createDimension('StrLen', StrLen) for k, u in zip(names, units): if k in 'dum1 dum2 dum3'.split(): continue vals = self._data[k] dt = vals.dtype.char dims = ('receptor',) if dt == 'S': vals = np.char.ljust(np.char.strip(vals), StrLen).view( 'S1').reshape(-1, StrLen) dims = ('receptor', 'StrLen') dt = 'S1' var = self.createVariable(k, dt, dims) var.units = u var[:] = vals
Example 14
Project: ImageFusion Author: pfchai File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 15
Project: Splunking-Crime Author: nccgroup File: data.py License: GNU Affero General Public License v3.0 | 6 votes |
def _get_data(): filepath = dirname(abspath(__file__)) ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv ##### names = ["NABOVE","NBELOW","LOWINC","PERASIAN","PERBLACK","PERHISP", "PERMINTE","AVYRSEXP","AVSALK","PERSPENK","PTRATIO","PCTAF", "PCTCHRT","PCTYRRND","PERMINTE_AVYRSEXP","PERMINTE_AVSAL", "AVYRSEXP_AVSAL","PERSPEN_PTRATIO","PERSPEN_PCTAF","PTRATIO_PCTAF", "PERMINTE_AVYRSEXP_AVSAL","PERSPEN_PTRATIO_PCTAF"] with open(filepath + '/star98.csv',"rb") as f: data = recfromtxt(f, delimiter=",", names=names, skip_header=1, dtype=float) # careful now nabove = data['NABOVE'].copy() nbelow = data['NBELOW'].copy() data['NABOVE'] = nbelow # successes data['NBELOW'] = nabove - nbelow # now failures return data
Example 16
Project: elasticintel Author: securityclippy File: test_io.py License: GNU General Public License v3.0 | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 17
Project: coffeegrindsize Author: jgagneastro File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 18
Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda Author: PacktPublishing File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 19
Project: twitter-stock-recommendation Author: alvarobartt File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', int), ('B', int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 20
Project: keras-lambda Author: sunilmallya File: test_io.py License: MIT License | 6 votes |
def test_recfromtxt(self): # data = TextIO('A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(data, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control) # data = TextIO('A,B\n0,1\n2,N/A') test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) assert_equal(test.A, [0, 2])
Example 21
Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 5 votes |
def test_recfromtxt(self): with temppath(suffix='.txt') as path: path = Path(path) with path.open('w') as f: f.write(u'A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(path, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control)
Example 22
Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 5 votes |
def test_recfromtxt(self): with temppath(suffix='.txt') as path: path = Path(path) with path.open('w') as f: f.write(u'A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(path, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', np.int), ('B', np.int)]) self.assertTrue(isinstance(test, np.recarray)) assert_equal(test, control)
Example 23
Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 5 votes |
def test_recfromtxt(self): with temppath(suffix='.txt') as path: path = Path(path) with path.open('w') as f: f.write(u'A,B\n0,1\n2,3') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.recfromtxt(path, **kwargs) control = np.array([(0, 1), (2, 3)], dtype=[('A', int), ('B', int)]) assert_(isinstance(test, np.recarray)) assert_equal(test, control)
Example 24
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv ##### with open(filepath + '/heart.csv', 'rb') as f: data = np.recfromtxt(f, delimiter=",", names = True, dtype=float) return data
Example 25
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) with open(filepath + '/co2.csv', 'rb') as f: data = np.recfromtxt(f, delimiter=",", names=True, dtype=['a8', float]) return data
Example 26
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) with open(filepath + '/nile.csv', 'rb') as f: data = recfromtxt(f, delimiter=",", names=True, dtype=float) return data
Example 27
Project: vnpy_crypto Author: birforce File: template_data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv ##### with open(filepath + '/DatasetName.csv', 'rb') as fd: data = np.recfromtxt(fd, delimiter=",", names=True, dtype=float) return data
Example 28
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) with open(filepath + '/copper.csv', 'rb') as f: data = recfromtxt(f, delimiter=",", names=True, dtype=float, usecols=(1,2,3,4,5,6)) return data
Example 29
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv ##### with open(filepath + '/cancer.csv', 'rb') as f: data = np.recfromtxt(f, delimiter=",", names=True, dtype=float) return data
Example 30
Project: vnpy_crypto Author: birforce File: data.py License: MIT License | 5 votes |
def _get_data(): filepath = dirname(abspath(__file__)) with open(filepath + '/modechoice.csv', 'rb') as f: data = np.recfromtxt(f, delimiter=";", names=True, dtype=float) return data