Reindexing the Series and DataFrame objects
Reindexing in pandas is a process that makes the data present in a Series
or DataFrame
match with a given set of labels along a particular axis. This is core to the functionalities of pandas as it enables label alignment across multiple objects.
The process of performing a reindex does the following:
- Reorders existing data to match a set of labels
- Inserts NaN markers where no data exists for a label
- Fills missing data for a label using a type of logic (defaulting to adding NaNs)
The following is a simple example of reindexing a Series
. The following Series
has an index with numerical values, and the index is modified to be alphabetic by simply assigning a list of characters to the .index
property, making ...
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