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DOC: Added examples to pandas.concat documentation #15028
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Original file line number | Diff line number | Diff line change |
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@@ -1471,6 +1471,33 @@ def concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False, | |
3 d | ||
dtype: object | ||
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Add a ``hierarchical index`` at the outermost level of | ||
the data. | ||
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>>> s1 = pd.Series(['a', 'b', 'c']) | ||
>>> s2 = pd.Series(['c', 'd', 'e']) | ||
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>>> c = pd.concat([s1, s2], keys=["s1", 's2',]) | ||
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>>> c | ||
s1 0 a | ||
1 b | ||
2 c | ||
s2 0 c | ||
1 d | ||
2 e | ||
dtype: object | ||
>>> c.ix['s1'] | ||
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0 a | ||
1 b | ||
2 c | ||
dtype: object | ||
>>> c.ix['s2'] | ||
0 c | ||
1 d | ||
2 e | ||
dtype: object | ||
>>> c.ix['s1'].ix[0] | ||
'a' | ||
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Combine two ``DataFrame`` objects with identical columns. | ||
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>>> df1 = pd.DataFrame( | ||
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no need to add backtick quotes around 'hierarchical index'
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I've fixed this.