nyx-space 2.4.0

Flight-proven, blazing fast astrodynamics from preliminary design to operations
Documentation 
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import plotly.graph_objs as go
import polars as pl

if __name__ == "__main__":
    df = pl.read_parquet("03_geo_sk.parquet")

    df = df.with_columns(
        pl.col("Epoch (UTC)").str.to_datetime("%Y-%m-%dT%H:%M:%S%.f")
    ).sort("Epoch (UTC)", descending=False)

    columns = [
        "sma (km)",
        "ecc",
        "inc (deg)",
        "raan (deg)",
        "aop (deg)",
        "ta (deg)",
        "aol (deg)",
        "tlong (deg)",
        "prop_mass (kg)",
    ]

    for col in columns:
        go.Figure(
            data=[
                go.Scattergl(
                    x=df["Epoch (UTC)"],
                    y=df[col],
                    name=col,
                    opacity=0.05,
                    showlegend=True,
                    text=df["Monte Carlo Run Index"],
                )
            ]
        ).show()