analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively backward pandas provides a relatively compact and self-contained set of tools for performing the above tasks. Note: This area of pandas has gotten less development attention recently, though this should change

analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively backward pandas provides a relatively compact and self-contained set of tools for performing the above tasks. Note: This area of pandas has gotten less development attention recently, though this should change

analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively backward pandas provides a relatively compact and self-contained set of tools for performing the above tasks. Note: This area of pandas has gotten less development attention recently, though this should change

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2369 4.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2369 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 2.14. Time series / date functionality 723 pandas: powerful Python data analysis toolkit

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2365 4.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2365 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 722 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.0.4

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2463 4.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2464 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 2.17. Time series / date functionality 739 pandas: powerful Python data analysis toolkit

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2463 4.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2464 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 2.17. Time series / date functionality 739 pandas: powerful Python data analysis toolkit

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2355 5.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2355 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 724 Chapter 3. User Guide pandas: powerful Python data analysis toolkit, Release 1.0.3

analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 3.14.1 Overview pandas captures 4 general time related concepts: 1. Date times: A specific accomplishes two goals • Provide an API that is pleasing to use interactively and is “good enough” for many tasks • Provide the foundations for dedicated libraries to build on If you build a great library on top

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2514 4.3.2 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2515 analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively 'Monday' pandas provides a relatively compact and self-contained set of tools for performing the above tasks and more. 2.19.1 Overview pandas captures 4 general time related concepts: 1. Date times: A specific