Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Index.append() function is used to append a single or a collection of indices together. In case of collection of indices, all of them gets appended to the original index in the same order as they are passed to the
Index.append() function. The function returns an appended index.
other : Index or list/tuple of indices
Returns : appended : bool or array_like (if axis is specified)
A single element array_like may be converted to bool.
Example #1: Use
Index.append() function to append a single index to the given index.
Let’s append df2 index at the end of df1.
As we can see in the output, the second index i.e. df2 has been appended at the end of df1.
Example #2: Use
Index.append() function to append a collection of index at the end of the given index.
Let’s append both the indexes df2 and df3 at the end of df1.
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