Series data structure is a one-dimensional heterogeneous array with labels. We can create a pandas
Series data structure as follows:
When creating a
Series, we can hand the constructor a list of axis labels, which is commonly referred to as the index. The index is an optional parameter. By default, if we use a NumPy array as the input data, pandas will index values by autoincrementing the index commencing from 0. If the data handed to the constructor is a Python dict, the sorted dict keys will become the index. In the case of a scalar value as the input data, we are required to supply the index. For each new value in the index, the scalar input value will be ...