If your notebook contains more than one dataframe, you’re prompted to select which dataframe you want to generate a graph for.Ĭlick Get Code to have the Assistant provide you with a list of various types of graphs (bar, plot, heatmap, etc.) it can generate based on the data in the dataframe. This option generates a graph based on the dataframe(s) in your notebook. Remember to be specific! Generate a graph for the DataFrame # You can also ask questions about the generated code and request changes using plain English. If you’re starting with an empty notebook, this option will open a menu of dataframes for you to load in your notebook, which you can then use to generate a wide variety of graphs. Working with DataFrames #įor notebooks containing dataframes, the Assistant provides various methods for viewing and interacting with your data in a new way. Make sure you provide specific instructions to the assistant! The more specific you are, the better your results will be. Whether you’re starting from scratch or looking to take your project in a new direction, the code examples in this section can serve as much needed inspiration.īuild upon results by asking for deeper analysis or changes to the code using plain English. This is effectively the same as creating a new chat, but reduces a bloat of redundant chats.Īdd data for the Assistant to analyze and manipulate (In development).Įxplore code for various math equations and python projects independent of your notebook. If the conversation starts getting off track, wipe the Assistant’s memory of previous messages by restarting the chat. You may encounter a warning message when you reach the daily limit. The Assistant allows you to perform a variety of functions, which are covered in the following section.Īsk your own questions and make unique requests using the text box at the bottom of the Assistant.Ĭurrently, each new chat allows a set amount of requests per 24 hour period. ![]() View and return to previous chats by clicking the menu icon in the top-right corner.Īt any time, you can start a new Assistant session, or “chat,” by clicking the new chat icon in the top-left corner. ![]() Let’s take a look at the different parts of the Assistant and what we can do with this tool. If you already have specific data you’d like to work with and a proficiency in Jupyter Notebooks, import the data and generate a dataframe as you normally would.Ĭlick the Anaconda Assistant icon to open the Assistant. This will render a dataframe(s) in the notebook. In the Launcher, under Anaconda Data Catalogs, click Explore Catalogs.Ĭlick the run all cells icon to restart and run all the cells available in your notebook. Open a new Launcher by clicking the blue plus + in the top-left corner.
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