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DOC: Improve the docsting of Series.iteritems #24879
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Original file line number | Diff line number | Diff line change |
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@@ -1446,6 +1446,30 @@ def to_string(self, buf=None, na_rep='NaN', float_format=None, header=True, | |
def iteritems(self): | ||
""" | ||
Lazily iterate over (index, value) tuples. | ||
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This method returns an iterable tuple (index, value). This is | ||
convienient if you want to create a a Lazy iterator. | ||
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Returns | ||
------- | ||
iterable | ||
Iterable of tuples containing the (index, value) pairs from a | ||
Series. | ||
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See Also | ||
-------- | ||
Series.apply : Invoke function on values of Series. | ||
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Series.map : Map values of Series according to input correspondence. | ||
DataFrame.iteritems : Equivalent to Series.iteritems for DataFrame. | ||
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Examples | ||
-------- | ||
>>> s = pd.Series(['A', 'B', 'C']) | ||
>>> for index, value in s.iteritems(): | ||
... print("Index : {}, Value : {}".format(index, value)) | ||
Index : 0, Value : A | ||
Index : 1, Value : B | ||
Index : 2, Value : C | ||
""" | ||
return zip(iter(self.index), iter(self)) | ||
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There are 2
a
s on this line. Lowercase l onLazy