Plotting GDM Models - Grid-Data-Models

There are two options for plotting GDM models:

Using the plot Function
This returns an interactive Plotly plot with detailed information displayed on hover.
Plotting from a GeoDataFrame
Export the model to a GeoDataFrame and use standard geospatial plotting libraries (e.g., GeoPandas or Matplotlib) for visualization.

We start by loading a sample distribution system.

from gdm.distribution import DistributionSystem
from gdmloader.constants import GCS_CASE_SOURCE
from gdmloader.source import SystemLoader
import plotly.io as pio

# Use the MIME renderer so Jupyter Book can render Plotly output cells.
pio.renderers.default = "plotly_mimetype"

gdm_loader = SystemLoader()
gdm_loader.add_source(GCS_CASE_SOURCE)

distribution_system: DistributionSystem = gdm_loader.load_dataset(
    source_name=GCS_CASE_SOURCE.name,
    system_type=DistributionSystem,
    dataset_name="p1rhs7_1247",
)
distribution_system.name = "p1rhs7_1247"
distribution_system.info()

Plotting using Plotly¶

fig = distribution_system.plot(
    flip_coordinates=False,
    show=False,
)
fig

from gdm.distribution.enums import MapType, PlotingStyle

fig = distribution_system.plot(
    map_type=MapType.SCATTER_MAP,
    style=PlotingStyle.OPEN_STREET_MAP,
    flip_coordinates=False,
    show=False,
)
fig

fig = distribution_system.plot(
    map_type=MapType.SCATTER_MAP,
    style=PlotingStyle.CARTO_DARKMATTER,
    flip_coordinates=False,
    show=False,
)
fig

fig = distribution_system.plot(
    map_type=MapType.SCATTER_MAP,
    style=PlotingStyle.CARTO_POSITRON,
    flip_coordinates=False,
    show=False,
)
fig

Distribution system plots can be styled by passing plotting options to the function to customize their appearance.

from gdm.distribution.enums import ColorNodeBy, ColorLineBy

fig = distribution_system.plot(
    color_node_by=ColorNodeBy.VOLTAGE_LEVEL,
    color_line_by=ColorLineBy.PHASE,
    flip_coordinates=False,
    show=False,
)
fig

## Plotting using Matplotlib
import matplotlib.pyplot as plt

df = distribution_system.to_gdf()
ax = df.plot()

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