Datalore Help

Automatic plotting

Datalore supports automatic plotting for pandas DataFrames. With this feature, you can quickly get a visualization of your data, customize it, and export the result as a code for your notebook.

Generate and customize your data visualization

  1. When your data is ready, switch to the Visualize tab from your output. You will get a point chart representing the data from the first two columns of your DataFrame.

  2. For the chart type, select one of the tabs :

    • Point(default)

    • Line

    • Bar

    • Area

    • Correlation

  3. (Optional) To set up a color palette, expand Color list and select a column.

    Automatically plotted line chart
  4. Customize your visualization:

    • By default, the graph represents the data from the first two columns of your DataFrame. To plot other data, expand the list for axis X or Y and select a column.

      Selecting a column for axis Y
    • To edit the graph title and axis labels or specify the number of bins (if applicable), expand the Other plot options section and fill in the respective fields.

      Providing new labels

Visualization code export

The Visualize tab is not shown in the published version. To save the customized graph and demonstrate it when the notebook is published, click the Export to code cell button in the upper right corner of the Visualize tab.

The code that builds the graph will be added to your notebook in a new code cell.

Exported code with the graph in the output

Visualize tab and chart cell compared

While both elements allow you to plot your data quickly and with no coding involved, they are not the same:

  • Visualize tab: Plotting is performed on the client side. Created visualizations are mainly used for quick exploratory analysis on sampled datasets.

  • Chart cells: Plotting is performed on the server side. The feature facilitates collaboration and allows to build multilayered charts based on datasets of any size. Find more information in Chart cells.

Last modified: 01 April 2022