Python numpy.mafromtxt() Examples
The following are 30 code examples for showing how to use numpy.mafromtxt(). 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_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 2
| Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 3
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 4
| Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 5
| Project: Computable Author: ktraunmueller File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 6
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 7
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 8
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_io.py License: Apache License 2.0 | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 9
| Project: pySINDy Author: luckystarufo File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 10
| Project: mxnet-lambda Author: awslabs File: test_io.py License: Apache License 2.0 | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 11
| Project: ImageFusion Author: pfchai File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 12
| Project: elasticintel Author: securityclippy File: test_io.py License: GNU General Public License v3.0 | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 13
| Project: coffeegrindsize Author: jgagneastro File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 14
| Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda Author: PacktPublishing File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 15
| Project: twitter-stock-recommendation Author: alvarobartt File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 16
| Project: keras-lambda Author: sunilmallya File: test_io.py License: MIT License | 6 votes |
|
def test_withmissing(self):
data = TextIO('A,B\n0,1\n2,N/A')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.mafromtxt(data, dtype=None, **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)
#
data.seek(0)
test = np.mafromtxt(data, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.float), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 17
| Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 5 votes |
|
def test_fancy_dtype_alt(self):
# Check that a nested dtype isn't MIA
data = TextIO('1,2,3.0\n4,5,6.0\n')
fancydtype = np.dtype([('x', int), ('y', [('t', int), ('s', float)])])
test = np.mafromtxt(data, dtype=fancydtype, delimiter=',')
control = ma.array([(1, (2, 3.0)), (4, (5, 6.0))], dtype=fancydtype)
assert_equal(test, control)
Example 18
| Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 5 votes |
|
def test_user_missing_values(self):
data = "A, B, C\n0, 0., 0j\n1, N/A, 1j\n-9, 2.2, N/A\n3, -99, 3j"
basekwargs = dict(dtype=None, delimiter=",", names=True,)
mdtype = [('A', int), ('B', float), ('C', complex)]
#
test = np.mafromtxt(TextIO(data), missing_values="N/A",
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (0, 0, 1), (0, 0, 0)],
dtype=mdtype)
assert_equal(test, control)
#
basekwargs['dtype'] = mdtype
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 1: -99, 2: -999j}, **basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
#
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 'B': -99, 'C': -999j},
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
Example 19
| Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 5 votes |
|
def test_withmissing_float(self):
data = TextIO('A,B\n0,1.5\n2,-999.00')
test = np.mafromtxt(data, dtype=None, delimiter=',',
missing_values='-999.0', names=True,)
control = ma.array([(0, 1.5), (2, -1.)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 20
| Project: recruit Author: Frank-qlu File: test_io.py License: Apache License 2.0 | 5 votes |
|
def test_mafromtxt(self):
# From `test_fancy_dtype_alt` above
with temppath(suffix='.txt') as path:
path = Path(path)
with path.open('w') as f:
f.write(u'1,2,3.0\n4,5,6.0\n')
test = np.mafromtxt(path, delimiter=',')
control = ma.array([(1.0, 2.0, 3.0), (4.0, 5.0, 6.0)])
assert_equal(test, control)
Example 21
| Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 5 votes |
|
def test_fancy_dtype_alt(self):
# Check that a nested dtype isn't MIA
data = TextIO('1,2,3.0\n4,5,6.0\n')
fancydtype = np.dtype([('x', int), ('y', [('t', int), ('s', float)])])
test = np.mafromtxt(data, dtype=fancydtype, delimiter=',')
control = ma.array([(1, (2, 3.0)), (4, (5, 6.0))], dtype=fancydtype)
assert_equal(test, control)
Example 22
| Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 5 votes |
|
def test_user_missing_values(self):
data = "A, B, C\n0, 0., 0j\n1, N/A, 1j\n-9, 2.2, N/A\n3, -99, 3j"
basekwargs = dict(dtype=None, delimiter=",", names=True,)
mdtype = [('A', int), ('B', float), ('C', complex)]
#
test = np.mafromtxt(TextIO(data), missing_values="N/A",
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (0, 0, 1), (0, 0, 0)],
dtype=mdtype)
assert_equal(test, control)
#
basekwargs['dtype'] = mdtype
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 1: -99, 2: -999j}, **basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
#
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 'B': -99, 'C': -999j},
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
Example 23
| Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 5 votes |
|
def test_withmissing_float(self):
data = TextIO('A,B\n0,1.5\n2,-999.00')
test = np.mafromtxt(data, dtype=None, delimiter=',',
missing_values='-999.0', names=True,)
control = ma.array([(0, 1.5), (2, -1.)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 24
| Project: lambda-packs Author: ryfeus File: test_io.py License: MIT License | 5 votes |
|
def test_mafromtxt(self):
# From `test_fancy_dtype_alt` above
with temppath(suffix='.txt') as path:
path = Path(path)
with path.open('w') as f:
f.write(u'1,2,3.0\n4,5,6.0\n')
test = np.mafromtxt(path, delimiter=',')
control = ma.array([(1.0, 2.0, 3.0), (4.0, 5.0, 6.0)])
assert_equal(test, control)
Example 25
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_io.py License: MIT License | 5 votes |
|
def test_fancy_dtype_alt(self):
# Check that a nested dtype isn't MIA
data = TextIO('1,2,3.0\n4,5,6.0\n')
fancydtype = np.dtype([('x', int), ('y', [('t', int), ('s', float)])])
test = np.mafromtxt(data, dtype=fancydtype, delimiter=',')
control = ma.array([(1, (2, 3.0)), (4, (5, 6.0))], dtype=fancydtype)
assert_equal(test, control)
Example 26
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_io.py License: MIT License | 5 votes |
|
def test_user_missing_values(self):
data = "A, B, C\n0, 0., 0j\n1, N/A, 1j\n-9, 2.2, N/A\n3, -99, 3j"
basekwargs = dict(dtype=None, delimiter=",", names=True,)
mdtype = [('A', int), ('B', float), ('C', complex)]
#
test = np.mafromtxt(TextIO(data), missing_values="N/A",
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (0, 0, 1), (0, 0, 0)],
dtype=mdtype)
assert_equal(test, control)
#
basekwargs['dtype'] = mdtype
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 1: -99, 2: -999j}, **basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
#
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 'B': -99, 'C': -999j},
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
Example 27
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_io.py License: MIT License | 5 votes |
|
def test_withmissing_float(self):
data = TextIO('A,B\n0,1.5\n2,-999.00')
test = np.mafromtxt(data, dtype=None, delimiter=',',
missing_values='-999.0', names=True,)
control = ma.array([(0, 1.5), (2, -1.)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
Example 28
| Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 5 votes |
|
def test_fancy_dtype_alt(self):
# Check that a nested dtype isn't MIA
data = TextIO('1,2,3.0\n4,5,6.0\n')
fancydtype = np.dtype([('x', int), ('y', [('t', int), ('s', float)])])
test = np.mafromtxt(data, dtype=fancydtype, delimiter=',')
control = ma.array([(1, (2, 3.0)), (4, (5, 6.0))], dtype=fancydtype)
assert_equal(test, control)
Example 29
| Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 5 votes |
|
def test_user_missing_values(self):
data = "A, B, C\n0, 0., 0j\n1, N/A, 1j\n-9, 2.2, N/A\n3, -99, 3j"
basekwargs = dict(dtype=None, delimiter=",", names=True,)
mdtype = [('A', int), ('B', float), ('C', complex)]
#
test = np.mafromtxt(TextIO(data), missing_values="N/A",
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (0, 0, 1), (0, 0, 0)],
dtype=mdtype)
assert_equal(test, control)
#
basekwargs['dtype'] = mdtype
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 1: -99, 2: -999j}, **basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
#
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 'B': -99, 'C': -999j},
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
Example 30
| Project: vnpy_crypto Author: birforce File: test_io.py License: MIT License | 5 votes |
|
def test_withmissing_float(self):
data = TextIO('A,B\n0,1.5\n2,-999.00')
test = np.mafromtxt(data, dtype=None, delimiter=',',
missing_values='-999.0', names=True,)
control = ma.array([(0, 1.5), (2, -1.)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
