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POCase insensitive pandas.concat
 

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    <p>How would I perform a case insensitive pandas.concat?</p> <pre><code>df1 = pd.DataFrame({"a":[1,2,3]},index=["a","b","c"]) df2 = pd.DataFrame({"b":[1,2,3]},index=["a","b","c"]) df1a = pd.DataFrame({"A":[1,2,3]},index=["A","B","C"]) pd.concat([df1, df2],axis=1) a b a 1 1 b 2 2 c 3 3 </code></pre> <p>but this does not work:</p> <pre><code>pd.concat([df1, df1a],axis=1) a A A NaN 1 B NaN 2 C NaN 3 a 1 NaN b 2 NaN c 3 NaN </code></pre> <p>Is there an easy way to do this?</p> <p>I have the same question for concat on a <code>Series</code>.</p> <p>This works for a <code>DataFrame</code>:</p> <pre><code>pd.DataFrame([11,21,31],index=pd.MultiIndex.from_tuples([("A",x) for x in ["a","B","c"]])).rename(str.lower) </code></pre> <p>but this does not work for a <code>Series</code>: </p> <pre><code>pd.Series([11,21,31],index=pd.MultiIndex.from_tuples([("A",x) for x in ["a","B","c"]])).rename(str.lower) TypeError: descriptor 'lower' requires a 'str' object but received a 'tuple' </code></pre> <p>For renaming, <code>DataFrames</code> use:</p> <pre><code>def rename_axis(self, mapper, axis=1): index = self.axes[axis] if isinstance(index, MultiIndex): new_axis = MultiIndex.from_tuples([tuple(mapper(y) for y in x) for x in index], names=index.names) else: new_axis = Index([mapper(x) for x in index], name=index.name) </code></pre> <p>whereas when renaming <code>Series</code>:</p> <pre><code>result.index = Index([mapper_f(x) for x in self.index], name=self.index.name) </code></pre> <p>so my updated question is how to perform the rename/case insensitive concat with a Series?</p>
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