Python scipy.special.chdtrc() Examples

The following are 11 code examples of scipy.special.chdtrc(). 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 scipy.special , or try the search function .
Example #1
Source File: stats.py    From Computable with MIT License 6 votes vote down vote up 
def chisqprob(chisq, df):
    """
    Probability value (1-tail) for the Chi^2 probability distribution.

    Broadcasting rules apply.

    Parameters
    ----------
    chisq : array_like or float > 0

    df : array_like or float, probably int >= 1

    Returns
    -------
    chisqprob : ndarray
        The area from `chisq` to infinity under the Chi^2 probability
        distribution with degrees of freedom `df`.

    """
    return special.chdtrc(df,chisq)
Example #2
Source File: univariate_selection.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up 
def _chisquare(f_obs, f_exp):
    """Fast replacement for scipy.stats.chisquare.

    Version from https://github.com/scipy/scipy/pull/2525 with additional
    optimizations.
    """
    f_obs = np.asarray(f_obs, dtype=np.float64)

    k = len(f_obs)
    # Reuse f_obs for chi-squared statistics
    chisq = f_obs
    chisq -= f_exp
    chisq **= 2
    with np.errstate(invalid="ignore"):
        chisq /= f_exp
    chisq = chisq.sum(axis=0)
    return chisq, special.chdtrc(k - 1, chisq)
Example #3
Source File: univariate_selection.py    From Splunking-Crime with GNU Affero General Public License v3.0 6 votes vote down vote up 
def _chisquare(f_obs, f_exp):
    """Fast replacement for scipy.stats.chisquare.

    Version from https://github.com/scipy/scipy/pull/2525 with additional
    optimizations.
    """
    f_obs = np.asarray(f_obs, dtype=np.float64)

    k = len(f_obs)
    # Reuse f_obs for chi-squared statistics
    chisq = f_obs
    chisq -= f_exp
    chisq **= 2
    with np.errstate(invalid="ignore"):
        chisq /= f_exp
    chisq = chisq.sum(axis=0)
    return chisq, special.chdtrc(k - 1, chisq)
Example #4
Source File: univariate_selection.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def _chisquare(f_obs, f_exp):
    """Fast replacement for scipy.stats.chisquare.

    Version from https://github.com/scipy/scipy/pull/2525 with additional
    optimizations.
    """
    f_obs = np.asarray(f_obs, dtype=np.float64)

    k = len(f_obs)
    # Reuse f_obs for chi-squared statistics
    chisq = f_obs
    chisq -= f_exp
    chisq **= 2
    with np.errstate(invalid="ignore"):
        chisq /= f_exp
    chisq = chisq.sum(axis=0)
    return chisq, special.chdtrc(k - 1, chisq)
Example #5
Source File: _continuous_distns.py    From lambda-packs with MIT License 5 votes vote down vote up 
def _sf(self, x, df):
        return sc.chdtrc(df, x)
Example #6
Source File: test_basic.py    From Computable with MIT License 5 votes vote down vote up 
def test_chdtrc(self):
        assert_equal(cephes.chdtrc(1,0),1.0)
Example #7
Source File: test_basic.py    From Computable with MIT License 5 votes vote down vote up 
def test_chi2c_smalldf():
    assert_almost_equal(special.chdtrc(0.6,3), 1-0.957890536704110)
Example #8
Source File: _continuous_distns.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def _sf(self, x, df):
        return sc.chdtrc(df, x)
Example #9
Source File: test_basic.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_chdtrc(self):
        assert_equal(cephes.chdtrc(1,0),1.0)
Example #10
Source File: test_basic.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_chi2c_smalldf():
    assert_almost_equal(special.chdtrc(0.6,3), 1-0.957890536704110)
Example #11
Source File: _continuous_distns.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def _sf(self, x, df):
        return sc.chdtrc(df, x)