Datatable is a python library for manipulating tabular data. It supports out-of-memory datasets, multi-threaded data processing, and flexible API.

The fundamental unit of analysis in datatable is a data Frame. It is the same notion as a pandas DataFrame or SQL table: data arranged in a two-dimensional array with rows and columns.

Using datatable This section describes common functionality and commands supported by datatable. Create a Frame Frame can be created from a variety of sources. For instance, from …

If the columns names are python keywords (def, del, …), the dot notation is not possible with f-expressions; you have to use the brackets notation to access these columns.

datatable API Symbols listed here are available for import from the root of the datatable module. Submodules ... Classes ... Functions ... Other

Name mangling Examples f -expressions Single-column selector Multi-column selector Modifying a columnset Fread Examples Read data Detect Thousand Separator Specify the Delimiter …

Mar 8, 2010 · If you want to tweak certain features of datatable, or even add your own functionality, you are welcome to do so. This section describes how to install datatable for …

A Frame can be viewed as a list of columns: standard Python function len() will return the number of columns in the Frame, and frame[j] will return the column at index j (each “column” will be a …

A lot of potential datatable users are likely to have some familiarity with pandas; as such, this page provides some examples of how various pandas operations can be performed within …

Installation ¶ This section describes how to install Python datatable on various systems.