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Time Series Analysis
Introduction
The roots of pandas lay in analyzing financial time series data. Time series are points of data gathered over time. Generally, the time is evenly spaced between each data point. However, there may be gaps in the observations. pandas includes functionality to manipulate dates, aggregate over different time periods, sample different periods of time, and more.
Understanding the difference between Python and pandas date tools
Before we get to pandas, it can help to be aware of and understand core Python's date and time functionality. The datetime module provides three data types: date, time, and datetime. Formally, a date is a moment in time consisting of just the year, month, and day. For instance, June 7, ...
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