Why Animate

Here are some reasons you may want to use ahlive to animate your data to life!

add dimension

Data can be mapped to color, and also time!

import ahlive as ah
import xarray as xr

ds = xr.tutorial.open_dataset("air_temperature")
ds["month"] = ds["time"].dt.strftime("%m - %b")
ds = ds.groupby("month").mean()

ds_kcmi = ds["air"].sel(lon=-88.5 + 360, lat=40, method="nearest")
tmpf_inline = ds_kcmi * 1.8 - 459.67

ah.Dataset(
    ds,
    xs="lon",
    ys="lat",
    cs="air",
    state_labels="month",
    title="2013-2014 Monthly Averaged Temperatures",
    projection="LambertConformal",
    coastline=True,
    revert="boomerang",
    fps=10
).reference(
    x0s=[-88.5] * 12,  # help wanted to simplify this method!
    y0s=[40] * 12,
    inline_labels=tmpf_inline
).config(**{
    "ref_inline": dict(suffix="°F", color="black"),
    "ref_plot": dict(color="black"),
    "state": dict(color="black")
}).render()