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.
- Python | pandas.map()
- Python | Pandas.melt()
- Python | Pandas Series.le()
- Python | Pandas TimedeltaIndex.contains
- Python | Pandas Series.all()
- Python | Pandas Series.eq()
- Python | Pandas Series.ne()
- Python | Pandas Timestamp.day
- Python | Pandas Series.gt()
- Python | Pandas Period.day
- Python | Pandas DataFrame.ix[ ]
- Python | Pandas TimedeltaIndex.take()
- Python | Pandas Series.ge()
- Python | Pandas DataFrame.where()
- Python | Pandas Series.lt()
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.