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pandas/core/series.py

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@@ -1692,6 +1692,10 @@ def count(self, level=None):
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int or Series (if level specified)
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Number of non-null values in the Series.
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See Also
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--------
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DataFrame.count : Count non-NA cells for each column or row.
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Examples
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--------
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>>> s = pd.Series([0.0, 1.0, np.nan])
@@ -2222,6 +2226,12 @@ def corr(self, other, method="pearson", min_periods=None) -> float:
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float
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Correlation with other.
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See Also
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--------
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DataFrame.corr : Compute pairwise correlation between columns.
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DataFrame.corrwith : Compute pairwise correlation with another
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DataFrame or Series.
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Examples
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--------
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>>> def histogram_intersection(a, b):
@@ -2264,6 +2274,10 @@ def cov(self, other, min_periods=None) -> float:
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Covariance between Series and other normalized by N-1
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(unbiased estimator).
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See Also
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--------
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DataFrame.cov : Compute pairwise covariance of columns.
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Examples
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--------
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>>> s1 = pd.Series([0.90010907, 0.13484424, 0.62036035])

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