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Python nanops.nancorr方法代碼示例

本文整理匯總了Python中pandas.core.nanops.nancorr方法的典型用法代碼示例。如果您正苦於以下問題：Python nanops.nancorr方法的具體用法？Python nanops.nancorr怎麽用？Python nanops.nancorr使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.nanops的用法示例。


在下文中一共展示了nanops.nancorr方法的9個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: corr

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def corr(self, other, method='pearson', min_periods=None):
        """
        Compute correlation with `other` Series, excluding missing values

        Parameters
        ----------
        other : Series
        method : {'pearson', 'kendall', 'spearman'}
            * pearson : standard correlation coefficient
            * kendall : Kendall Tau correlation coefficient
            * spearman : Spearman rank correlation
        min_periods : int, optional
            Minimum number of observations needed to have a valid result


        Returns
        -------
        correlation : float
        """
        this, other = self.align(other, join='inner', copy=False)
        if len(this) == 0:
            return np.nan
        return nanops.nancorr(this.values, other.values, method=method,
                              min_periods=min_periods)
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:26，代碼來源:series.py

示例2: corr

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def corr(self, other, method='pearson',
             min_periods=None):
        """
        Compute correlation with `other` Series, excluding missing values

        Parameters
        ----------
        other : Series
        method : {'pearson', 'kendall', 'spearman'}
            * pearson : standard correlation coefficient
            * kendall : Kendall Tau correlation coefficient
            * spearman : Spearman rank correlation
        min_periods : int, optional
            Minimum number of observations needed to have a valid result


        Returns
        -------
        correlation : float
        """
        this, other = self.align(other, join='inner', copy=False)
        if len(this) == 0:
            return pa.NA
        return nanops.nancorr(this.values, other.values, method=method,
                              min_periods=min_periods)
開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:27，代碼來源:series.py

示例3: test_nancorr

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr(self):
        targ0 = np.corrcoef(self.arr_float_2d, self.arr_float1_2d)[0, 1]
        targ1 = np.corrcoef(self.arr_float_2d.flat,
                            self.arr_float1_2d.flat)[0, 1]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1)
        targ0 = np.corrcoef(self.arr_float_1d, self.arr_float1_1d)[0, 1]
        targ1 = np.corrcoef(self.arr_float_1d.flat,
                            self.arr_float1_1d.flat)[0, 1]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='pearson')
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:12，代碼來源:test_nanops.py

示例4: test_nancorr_pearson

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr_pearson(self):
        targ0 = np.corrcoef(self.arr_float_2d, self.arr_float1_2d)[0, 1]
        targ1 = np.corrcoef(self.arr_float_2d.flat,
                            self.arr_float1_2d.flat)[0, 1]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1,
                                     method='pearson')
        targ0 = np.corrcoef(self.arr_float_1d, self.arr_float1_1d)[0, 1]
        targ1 = np.corrcoef(self.arr_float_1d.flat,
                            self.arr_float1_1d.flat)[0, 1]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='pearson')
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:13，代碼來源:test_nanops.py

示例5: test_nancorr_kendall

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr_kendall(self):
        from scipy.stats import kendalltau
        targ0 = kendalltau(self.arr_float_2d, self.arr_float1_2d)[0]
        targ1 = kendalltau(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1,
                                     method='kendall')
        targ0 = kendalltau(self.arr_float_1d, self.arr_float1_1d)[0]
        targ1 = kendalltau(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='kendall')
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:12，代碼來源:test_nanops.py

示例6: test_nancorr_spearman

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr_spearman(self):
        from scipy.stats import spearmanr
        targ0 = spearmanr(self.arr_float_2d, self.arr_float1_2d)[0]
        targ1 = spearmanr(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1,
                                     method='spearman')
        targ0 = spearmanr(self.arr_float_1d, self.arr_float1_1d)[0]
        targ1 = spearmanr(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='spearman')
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:12，代碼來源:test_nanops.py

示例7: test_nancorr_kendall

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr_kendall(self):
        tm.skip_if_no_package('scipy.stats')
        from scipy.stats import kendalltau
        targ0 = kendalltau(self.arr_float_2d, self.arr_float1_2d)[0]
        targ1 = kendalltau(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1,
                                     method='kendall')
        targ0 = kendalltau(self.arr_float_1d, self.arr_float1_1d)[0]
        targ1 = kendalltau(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='kendall')
開發者ID:securityclippy，項目名稱:elasticintel，代碼行數:13，代碼來源:test_nanops.py

示例8: test_nancorr_spearman

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def test_nancorr_spearman(self):
        tm.skip_if_no_package('scipy.stats')
        from scipy.stats import spearmanr
        targ0 = spearmanr(self.arr_float_2d, self.arr_float1_2d)[0]
        targ1 = spearmanr(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0]
        self.check_nancorr_nancov_2d(nanops.nancorr, targ0, targ1,
                                     method='spearman')
        targ0 = spearmanr(self.arr_float_1d, self.arr_float1_1d)[0]
        targ1 = spearmanr(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0]
        self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1,
                                     method='spearman')
開發者ID:securityclippy，項目名稱:elasticintel，代碼行數:13，代碼來源:test_nanops.py

示例9: corr

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nancorr [as 別名]
def corr(self, other, method='pearson', min_periods=None):
        """
        Compute correlation with `other` Series, excluding missing values.

        Parameters
        ----------
        other : Series
        method : {'pearson', 'kendall', 'spearman'} or callable
            * pearson : standard correlation coefficient
            * kendall : Kendall Tau correlation coefficient
            * spearman : Spearman rank correlation
            * callable: callable with input two 1d ndarray
                and returning a float
                .. versionadded:: 0.24.0

        min_periods : int, optional
            Minimum number of observations needed to have a valid result

        Returns
        -------
        correlation : float

        Examples
        --------
        >>> histogram_intersection = lambda a, b: np.minimum(a, b
        ... ).sum().round(decimals=1)
        >>> s1 = pd.Series([.2, .0, .6, .2])
        >>> s2 = pd.Series([.3, .6, .0, .1])
        >>> s1.corr(s2, method=histogram_intersection)
        0.3
        """
        this, other = self.align(other, join='inner', copy=False)
        if len(this) == 0:
            return np.nan

        if method in ['pearson', 'spearman', 'kendall'] or callable(method):
            return nanops.nancorr(this.values, other.values, method=method,
                                  min_periods=min_periods)

        raise ValueError("method must be either 'pearson', "
                         "'spearman', or 'kendall', '{method}' "
                         "was supplied".format(method=method))
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:44，代碼來源:series.py


注：本文中的pandas.core.nanops.nancorr方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。