Using Python to work with Pandas Dataframes in InfluxDB

A pandas DataFrame is a versatile tool for data manipulation, allowing data scientists to work effectively with data. In this video, Zoe Steinkamp, Developer Advocate at InfluxData, walks through the basics of using pandas DataFrames with InfluxDB. She covers how pandas DataFrames can streamline data wrangling and analysis, and breaks down the differences between pandas and Flux, InfluxDB’s data scriping language. Whether you’re new to time series data or just looking to expand your toolkit, this video offers a step-by-step insights into how these tools can work together.