cryoswath.test_plots package

Submodules

cryoswath.test_plots.maps.coverage(l3_data_or_filepath: Dataset | str, at_time: Timestamp | DatetimeIndex = DatetimeIndex(['2010-10-01', '2011-10-01', '2012-10-01', '2013-10-01', '2014-10-01', '2015-10-01', '2016-10-01', '2017-10-01', '2018-10-01', '2019-10-01', '2020-10-01', '2021-10-01', '2022-10-01', '2023-10-01'], dtype='datetime64[ns]', freq='12MS')) → Figure[source]

cryoswath.test_plots.timeseries.elevation_change(*data: DataArray, type: Iterable[Literal['plain', 'start_at_0', 'cummulative', 'interleafed-cummulative']] = ('plain',), pivot_month: int = 10, start_date: Timestamp = Timestamp('2010-10-01 00:00:00'), end_date: Timestamp = None, plot_specs: Iterable[dict[str, Any]] = ({},), ax: Axes = None, add_legend: bool = True, despine: dict[str, Any] = {'trim': True}) → Axes[source]

cryoswath.test_plots.waveform.dem_transect(waveform, *, ax: Axes = None, line_properties: dict[str, dict[str, any]] = {'dem': {'color': 'black', 'facecolor': 'xkcd:ice', 'linestyle': 'solid', 'linewidth': 0.6}, 'excluded': {'color': 'tab:pink', 'linewidth': 1, 'marker': 'x', 'markersize': 5}, 'poca': {'color': 'tab:green', 'linewidth': 1, 'marker': 'o', 'markersize': 5}, 'swath': {'color': 'tab:blue', 'linewidth': 1, 'marker': '.', 'markersize': 5}}, selected_phase_only: bool = True, dem_file_name_or_path: str = None)[source]