The essential basic functionality
pandas supports many essential functionalities that are useful to manipulate pandas data structures. In this module, we will focus on the most important features regarding exploration and analysis.
Reindexing and altering labels
Reindex is a critical method in the pandas data structures. It confirms whether the new or modified data satisfies a given set of labels along a particular axis of pandas object.
First, let's view a
reindex example on a Series object:
>>> s2.reindex([0, 2, 'b', 3]) 0 0.6913 2 0.8627 b NaN 3 0.7286 dtype: float64
reindexed labels do not exist in the data object, a default value of
NaN will be automatically assigned to the position; this holds true for the DataFrame case as well:
>>> df1.reindex(index=[0, ...