def plot_all_regional_error_metrics(
self,
gdf: GeoDataFrame, # type: ignore
title: str = "",
**kwargs: Dict,
) -> Tuple[Figure, List[Axes]]:
"""Plot area-based maps of the scores"""
assert np.isin(["rmse", "mae", "r2"],
gdf.columns).all() # type: ignore
gdf = gdf.dropna(subset=["rmse", "mae", "r2"]) # type: ignore
# get the PlotMetric objects
rmse = self.get_metric("rmse", gdf, **kwargs)
mae = self.get_metric("mae", gdf, **kwargs)
r2 = self.get_metric("r2", gdf, **kwargs)
# build multi-axis plot
fig, axs = plt.subplots(1, 3, figsize=(12, 8))
for i, metric in enumerate([rmse, mae, r2]):
ax = axs[i]
ax = self.plot_metric(gdf=gdf, ax=ax, metric=metric)
ax.axis("off")
fig.suptitle(title)
return fig, axs
def plot_regional_error_metric(
self,
gdf: GeoDataFrame, # type: ignore
selection: str) -> Tuple[Figure, Axes]:
valid_metrics = ['rmse', 'mae', 'r2']
assert selection in valid_metrics, 'Expecting selection' \
f' to be one of: {valid_metrics}'
gdf = gdf.dropna(subset=valid_metrics) # type: ignore
metric = self.get_metric(selection)
fig, ax = plt.subplots()
ax = self.plot_metric(gdf=gdf, ax=ax, metric=metric)
return fig, ax
def plot_regional_error_metric(
self,
gdf: GeoDataFrame, # type: ignore
selection: str,
**kwargs: Dict,
) -> Tuple[Figure, Axes]:
valid_metrics = ["rmse", "mae", "r2"]
assert selection in valid_metrics, ("Expecting selection"
f" to be one of: {valid_metrics}")
gdf = gdf.dropna(subset=valid_metrics) # type: ignore
metric = self.get_metric(selection, gdf, **kwargs)
fig, ax = plt.subplots()
ax = self.plot_metric(gdf=gdf, ax=ax, metric=metric)
return fig, ax
def plot_all_regional_error_metrics(
self,
gdf: GeoDataFrame, # type: ignore
title: str = '') -> Tuple[Figure, List[Axes]]:
"""Plot area-based maps of the scores"""
assert np.isin(['rmse', 'mae', 'r2'],
gdf.columns).all() # type: ignore
gdf = gdf.dropna(subset=['rmse', 'mae', 'r2']) # type: ignore
# get the PlotMetric objects
rmse = self.get_metric('rmse')
mae = self.get_metric('mae')
r2 = self.get_metric('r2')
# build multi-axis plot
fig, axs = plt.subplots(1, 3, figsize=(24, 6))
for i, metric in enumerate([rmse, mae, r2]):
ax = axs[i]
ax = self.plot_metric(gdf=gdf, ax=ax, metric=metric)
fig.set_suptitle(title)
return fig, axs