Quadratic Docs
Ask or search…
K

Getting started

Build beautiful visualizations in Quadratic.
Quadratic charts are built to be displayed straight to the spreadsheet. Use the Python libraries you're familiar with to display your data as beautiful charts directly in the spreadsheet.
Quadratic currently supports the following Python libraries for charting, with more options planned for the future:

Plotly example

To get started simply use some sample charting code directly in the sheet's Python editor to begin displaying charts to your sheet.
# install plotly
import micropip
await micropip.install('plotly')
# import your charting library of choice
import plotly.express as px
# use your own data or some sample data like this sample dataset from Plotly
df = px.data.iris()
# create your chart
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species", symbol="species")
# display your chart in the spreadsheet
fig.show()