Python numpy.ma.make_mask() Examples

The following are 18 code examples of numpy.ma.make_mask(). 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 numpy.ma , or try the search function .
Example #1
Source File: test_mrecords.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #2
Source File: test_mrecords.py    From keras-lambda with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #3
Source File: test_mrecords.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #4
Source File: test_mrecords.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #5
Source File: test_mrecords.py    From coffeegrindsize with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #6
Source File: test_mrecords.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #7
Source File: test_mrecords.py    From ImageFusion with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #8
Source File: test_mrecords.py    From mxnet-lambda with Apache License 2.0 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #9
Source File: test_mrecords.py    From pySINDy with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #10
Source File: test_mrecords.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #11
Source File: test_mstats_extras.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up 
def test_hdmedian():
    # 1-D array
    x = ma.arange(11)
    assert_allclose(ms.hdmedian(x), 5, rtol=1e-14)
    x.mask = ma.make_mask(x)
    x.mask[:7] = False
    assert_allclose(ms.hdmedian(x), 3, rtol=1e-14)

    # Check that `var` keyword returns a value.  TODO: check whether returned
    # value is actually correct.
    assert_(ms.hdmedian(x, var=True).size == 2)

    # 2-D array
    x2 = ma.arange(22).reshape((11, 2))
    assert_allclose(ms.hdmedian(x2, axis=0), [10, 11])
    x2.mask = ma.make_mask(x2)
    x2.mask[:7, :] = False
    assert_allclose(ms.hdmedian(x2, axis=0), [6, 7])
Example #12
Source File: test_mrecords.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #13
Source File: test_mrecords.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #14
Source File: test_mrecords.py    From Computable with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        "Test hardmask"
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
    #
Example #15
Source File: test_mrecords.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        assert_(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        assert_(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        assert_(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #16
Source File: test_mrecords.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #17
Source File: test_mrecords.py    From lambda-packs with MIT License 6 votes vote down vote up 
def test_hardmask(self):
        # Test hardmask
        base = self.base.copy()
        mbase = base.view(mrecarray)
        mbase.harden_mask()
        self.assertTrue(mbase._hardmask)
        mbase.mask = nomask
        assert_equal_records(mbase._mask, base._mask)
        mbase.soften_mask()
        self.assertTrue(not mbase._hardmask)
        mbase.mask = nomask
        # So, the mask of a field is no longer set to nomask...
        assert_equal_records(mbase._mask,
                             ma.make_mask_none(base.shape, base.dtype))
        self.assertTrue(ma.make_mask(mbase['b']._mask) is nomask)
        assert_equal(mbase['a']._mask, mbase['b']._mask)
Example #18
Source File: latin_sampler.py    From CityEnergyAnalyst with MIT License 4 votes vote down vote up 
def latin_sampler(locator, num_samples, variables):
    """
    This script creates a matrix of m x n samples using the latin hypercube sampler.
    for this, it uses the database of probability distribtutions stored in locator.get_uncertainty_db()
    it returns clean and normalized samples.

    :param locator: pointer to locator of files of CEA
    :param num_samples: number of samples to do
    :param variables: list of variables to sample
    :return:
        1. design: a matrix m x n with the samples where each feature is normalized from [0,1]
        2. design_norm: a matrix m x n with the samples where each feature is normalized from [0,1]
        3. pdf_list: a dataframe with properties of the probability density functions used in the exercise.

    """

    # get probability density function PDF of variables of interest
    variable_groups = ('ENVELOPE', 'INDOOR_COMFORT', 'INTERNAL_LOADS','SYSTEMS')
    database = pd.concat([pd.read_excel(locator.get_uncertainty_db(), group, axis=1)
                          for group in variable_groups])
    pdf_list = database[database['name'].isin(variables)].set_index('name')

    # get number of variables
    num_vars = pdf_list.shape[0]  # alternatively use len(variables)

    # get design of experiments
    samples = latin_hypercube.lhs(num_vars, samples=num_samples, criterion='maximin')
    for i, variable in enumerate(variables):

        distribution = pdf_list.loc[variable, 'distribution']
        #sampling into lhs
        min = pdf_list.loc[variable, 'min']
        max = pdf_list.loc[variable, 'max']
        mu = pdf_list.loc[variable, 'mu']
        stdv = pdf_list.loc[variable, 'stdv']
        if distribution == 'triangular':
            loc = min
            scale = max - min
            c = (mu - min) / (max - min)
            samples[:, i] = triang(loc=loc, c=c, scale=scale).ppf(samples[:, i])
        elif distribution == 'normal':
            samples[:, i] = norm(loc=mu, scale=stdv).ppf(samples[:, i])
        elif distribution == 'boolean': # converts a uniform (0-1) into True/False
            samples[:, i] = ma.make_mask(np.rint(uniform(loc=min, scale=max).ppf(samples[:, i])))
        else:  # assume it is uniform
            samples[:, i] = uniform(loc=min, scale=max).ppf(samples[:, i])

    min_max_scaler = preprocessing.MinMaxScaler(copy=True, feature_range=(0, 1))
    samples_norm = min_max_scaler.fit_transform(samples)

    return samples, samples_norm, pdf_list