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plot_elevation_profile 

plot_elevation_profile(
    fig: Figure, supports_geo_info: SupportGeoInfo
) -> None

Create an elevation profile plot from support geo info. Args: fig: The figure to add the elevation profile to. support_geo_info: Support geo info containing elevation and distance data.

Source code in src/mechaphlowers/plotting/elevation.py 
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def plot_elevation_profile(
    fig: go.Figure, supports_geo_info: SupportGeoInfo
) -> None:
    """
    Create an elevation profile plot from support geo info.
    Args:
        fig: The figure to add the elevation profile to.
        support_geo_info: Support geo info containing elevation and distance data.
    """

    # Extract arrays from the SupportGeoInfo object
    elevations = supports_geo_info["elevation"]
    distances = supports_geo_info["distance_to_next"]

    # Calculate cumulative distance
    cumulative_distance = np.cumsum(distances)

    fig.add_trace(
        go.Scatter(
            x=cumulative_distance,
            y=elevations,
            mode="lines+markers",
            name="Elevation Profile",
            line={"color": "#1f77b4", "width": 2},
            marker={"size": 8, "color": "#1f77b4"},
            hovertemplate="Marker: %{customdata}<br>Distance: %{x:.2f} km<br>Elevation: %{y:.2f} m<extra></extra>",
            customdata=list(range(len(elevations))),  # type: ignore
        )
    )

    fig.update_layout(
        title="Elevation Profile of Power Line",
        xaxis_title="Cumulative Distance (km)",
        yaxis_title="Elevation (m)",
        width=1200,
        height=500,
        showlegend=False,
        hovermode="closest",
        margin={"l": 50, "r": 50, "t": 50, "b": 50},
        xaxis={"showgrid": True, "gridwidth": 1, "gridcolor": "LightGray"},
        yaxis={"showgrid": True, "gridwidth": 1, "gridcolor": "LightGray"},
    )