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Programming Guide
DolphinDB scripting language and SQL reference
DolphinDB Python Parser
pandas
Window

About DolphinDB
Getting Started
Deployment
Deploy and upgrade DolphinDB on premise or in the cloud
Database
Core features of DolphinDB's distributed architecture, basic database operations, and configuration setup.
Streaming
Publish, subscribe to, and process streaming data
Migration
Import and migrate data from various data sources to DolphinDB databases
Maintenance
Database maintenance and system management
Troubleshooting
Common errors and corresponding solutions
Programming Guide
DolphinDB scripting language and SQL reference
Function References
Reference for all built-in functions
API & Connector
API in different languages for users to call DolphinDB from their programs
Plugins
Guidance on the use of plugins and plugin development for multiple application scenarios
Tutorials
Tutorials on database concepts and application scenarios
Release Notes
Release notes and compatibility changes for DolphinDB server, plugins and APIs

Window

Window is a useful tool for time series analysis and rolling window operations in DolphinDB pandas. It can be flexibly used for window operations, including the calculation of rolling average, rolling sum, and rolling variance. The following table introduces rolling window functions supported by DolphinDB pandas.

Rolling Window Functions


Function	Compatibility Statement
cov	No parameter is supported.
max	No parameter is supported. The window size should be no less than 2.
mean	No parameter is supported.
min	No parameter is supported.
sum	No parameter is supported. The rolling sum of literal data or data of POINT, UUID, IPADDR, INT128, or COMPLEX type returns NULL.
std	No parameter is supported.
kurt	No parameter is supported.
var	No parameter is supported.