Bivariate#
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import hvplot.pandas # noqa
bivariate() is a statistical method for creating a 2D density plot. Bivariate plots can be a useful alternative to scatter plots if your data are too dense to plot each point individually.
from bokeh.sampledata.autompg import autompg_clean as df
df.head()
| mpg | cyl | displ | hp | weight | accel | yr | origin | name | mfr | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 18.0 | 8 | 307.0 | 130 | 3504 | 12.0 | 70 | North America | chevrolet chevelle malibu | chevrolet |
| 1 | 15.0 | 8 | 350.0 | 165 | 3693 | 11.5 | 70 | North America | buick skylark 320 | buick |
| 2 | 18.0 | 8 | 318.0 | 150 | 3436 | 11.0 | 70 | North America | plymouth satellite | plymouth |
| 3 | 16.0 | 8 | 304.0 | 150 | 3433 | 12.0 | 70 | North America | amc rebel sst | amc |
| 4 | 17.0 | 8 | 302.0 | 140 | 3449 | 10.5 | 70 | North America | ford torino | ford |
df.hvplot.bivariate('accel', 'mpg')
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Download this notebook from GitHub (right-click to download).