Reading Data
This section explains the steps to read the added Data inside a Data Science Notebook.
Last updated
This section explains the steps to read the added Data inside a Data Science Notebook.
Last updated
Please Note: Using the get_data function datasets and data sandbox files (csv & xlsx files) can be read.
Add a new Code cell to Notebook or access an empty Code cell.
Select a dataset from the Data tab.
The get_data function appears in the code cell.
Provide the df (DataFrame) to print the data from the selected Dataset. A Dataset can be an added dataset, data sandbox file, or feature store.
Run the cell.
The Data preview appears below after the cell run is completed.
The Data Sets/ Sandbox files/ Feature Stores added to a Data Science Notebook will also be listed under the Data tab provided under the same project. Hence, the added datasets will be available for all the Data Science Notebooks created or imported under the same project.
Check out the illustration to read multiple sheets in a Notebook cell.
Add an Excel file with multiple sheets to a DS Project.
Insert a Markdown cell with the names of the Excel sheets.
Insert a new code cell.
Use a checkbox next to read data.
The get_data function in the code cell.
Run the code cell.
The data preview will appear below.
Select another datasheet name and copy it from the markdown cell.
Paste the copied datasheet name in the code cell that contains the get_data function.
Run the code cell.
The data preview will be displayed below.
