fluidsim.base.output.spatial_means

Spatial means

Provides:

class fluidsim.base.output.spatial_means.SpatialMeansBase(output)[source]

Bases: SpecificOutput

A SpatialMean object handles the saving of .

This class uses the particular functions defined by some solvers :func:`` and :func``. If the solver doesn’t has these functions, this class does nothing.

_tag = 'spatial_means'

_name_file = 'spatial_means.txt'

static _complete_params_with_default(params)[source]

_init_files(arrays_1st_time=None)[source]

_online_save()[source]: Save the values at one time.

_save_one_time(*args)[source]

_init_online_plot()[source]

_get_nb_points_from_lines(lines_t, *liness)[source]

load()[source]

load_dataset(dims=('t',))[source]: Loads results as a xarray dataset.

plot()[source]

compute_time_means(tstatio=0.0, tmax=None)[source]: compute the temporal means.

_close_file()[source]

time_first_saved() → float[source]

time_last_saved() → float[source]

class fluidsim.base.output.spatial_means.SpatialMeansJSON(output)[source]

Bases: SpatialMeansBase

Save and load as line-delimited JSON.

_tag = 'spatial_means'

_name_file = 'spatial_means.json'

_save_one_time(result: Dict[str, float], delimiter: str = '\n')[source]

_file_exists()[source]

load()[source]

load_dataset(dims=('t',))[source]: Loads results as a xarray dataset.

compute_time_means(tstatio=0.0, tmax=None)[source]: compute the temporal means.

time_first_saved() → float[source]

time_last_saved() → float[source]

Functions

inner_prod(a_fft, b_fft)

Classes

`SpatialMeansBase`(output)	A `SpatialMean` object handles the saving of .
`SpatialMeansJSON`(output)	Save and load as line-delimited JSON.