Visualization

emiproc.plots.plot_inventory(
inv: ~emiproc.inventories.Inventory,
figsize: tuple[int,
int] | None = None,
q: float = 0.001,
vmin: None | float = None,
vmax: None | float = None,
cmap=<matplotlib.colors.ListedColormap object>,
symcmap='RdBu_r',
spec_lims: None | tuple[float] | str = None,
out_dir: ~os.PathLike | None = None,
axis_formatter: str | None = None,
x_label: str | None = None,
y_label: str | None = None,
add_country_borders: bool = False,
total_only: bool = False,
bare_plot: bool = False,
reverse_y: bool = False,
temporal_freq: str | None = None,
poly_collection_kwargs: dict[str,
~typing.Any] = {'antialiased': True,
'edgecolors': 'black',
'linewidth': 0.04},
country_borders_kwargs: dict[str,
~typing.Any] = {},
show_total_temporal_emissions: bool = True,
)

Plot an inventory.

Will plot all the combination of substnaces/category of the inventory. Will also plot the total emission for each substance.

Parameters:

  • inv – the inventory to plot

  • figsize – the size of the figure. As in matplotlib.

  • q – the quantile to use for the vmax and vmin. Will be used to remove the outliers.

  • vmin – the minimum value to use for the colorbar. Will override the q parameter.

  • vmax – Same as vmin but for the maximum value.

  • cmap – the colormap to use. As in matplotlib.

  • symcmap – the symetric colormap to use when:str there are negative values. As in matplotlib.

  • spec_lims – the limits of the plot. As in matplotlib. If “grid”, will use the grid cell coordinates.

  • out_dir – the directory where to save the plots. If None, will show the plots.

  • axis_formatter – for example “{x:6.0f}” will show 6 number and 0 after the . , which is useful for swiss coordinates.

  • add_country_borders – if True, will add country borders to the plot.

  • total_only – if True, will plot only the total emissions.

  • bare_plot – if True, removes all non-data elements (axes, labels, title and colorbar).

  • reverse_y – if True, will reverse the y-axis.

  • poly_collection_kwargs – additional keyword arguments for the PolyCollection.

  • country_borders_kwargs – additional keyword arguments for the country borders. See geopandas.Geoseries.plot for more information.

  • show_total_temporal_emissions – if True, will plot the total emissions for each substance in the temporal plot.

emiproc.profiles.plot.plot_profile(
profile: DailyProfile | SpecificDayProfile | WeeklyProfile | MounthsProfile | HourOfYearProfile | HourOfLeapYearProfile | HourOfWeekProfile | Hour3OfDay | Hour3OfDayPerMonth | HourOfWeekPerMonthProfile | DayOfYearProfile | DayOfLeapYearProfile | VerticalProfile,
ax: Axes | None = None,
ignore_limit: bool = False,
profile_number: int | None = None,
labels: bool = True,
) → tuple[Figure, Axes]

Plot a profile.

Parameters:

  • profile – The profile to plot. Can be any kind of profiles supported in emiproc.

  • ax – The axes to plot on.

  • ignore_limit – Whether to ignore the profile limit, for plotting a lot of profiles.

  • profile_number – The profile number to plot. In case you want to plot only one of the profiles in the input.

  • labels – Whether to add x and y labels.