from vega_datasets import data # Load vega_datasets
import persist_ext as PR # Load Persist Extension
cars_df = data.cars() # Get the cars dataset as Pandas dataframe
cars_df.head()
| Name | Miles_per_Gallon | Cylinders | Displacement | Horsepower | Weight_in_lbs | Acceleration | Year | Origin | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | chevrolet chevelle malibu | 18.0 | 8 | 307.0 | 130.0 | 3504 | 12.0 | 1970-01-01 | USA |
| 1 | buick skylark 320 | 15.0 | 8 | 350.0 | 165.0 | 3693 | 11.5 | 1970-01-01 | USA |
| 2 | plymouth satellite | 18.0 | 8 | 318.0 | 150.0 | 3436 | 11.0 | 1970-01-01 | USA |
| 3 | amc rebel sst | 16.0 | 8 | 304.0 | 150.0 | 3433 | 12.0 | 1970-01-01 | USA |
| 4 | ford torino | 17.0 | 8 | 302.0 | 140.0 | 3449 | 10.5 | 1970-01-01 | USA |
PR.plot.scatterplot(data=cars_df, x="Miles_per_Gallon:Q", y="Weight_in_lbs:Q", color="Origin:N")
PersistWidget(data_values=[{'__id_column': '1', 'Name': 'chevrolet chevelle malibu', 'Miles_per_Gallon': 18.0,…
PR.plot.barchart(data=cars_df, x="Cylinders:N", y="count()")
PersistWidget(data_values=[{'__id_column': '1', 'Name': 'chevrolet chevelle malibu', 'Miles_per_Gallon': 18.0,…