Creating a Series
A Series can be created using several techniques. We will examine the following three:
- Using a Python list or dictionary
- From NumPy arrays
- Using a scalar value
Creating a Series using Python lists and dictionaries
A Series can be created from a Python list:
The first column of numbers represents the label in the index of the Series. The second column contains the values. dtype: int64 denotes that the data type of the values in the Series— is int64.
By default, pandas will create an index consisting of consecutive integers starting at 0. This makes the series look like an array in many other programming languages. As an example, we can look up the value at label 3:
Note
This lookup was by label value, not 0-based position. We will examine this in detail later in the chapter.
Data types other than integers can be used. The following creates a series of string values:
To create a series consisting of a sequence of n identical values v, use the Python shorthand for list creation, [v...
