pytesmo
7.1
pytesmo a Python Toolbox for the Evaluation of Soil Moisture Observations
Examples
API Documentation
pytesmo
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A
aad() (in module pytesmo.metrics)
add_scaled() (in module pytesmo.scaling)
AnomalyAdapter (class in pytesmo.validation_framework.adapters)
AnomalyClimAdapter (class in pytesmo.validation_framework.adapters)
args (pytesmo.df_metrics.DataFrameDimensionError attribute)
args_to_iterable() (in module pytesmo.validation_framework.validation)
B
BasicAdapter (class in pytesmo.validation_framework.adapters)
BasicMetrics (class in pytesmo.validation_framework.metric_calculators)
BasicMetricsPlusMSE (class in pytesmo.validation_framework.metric_calculators)
BasicSeasonalMetrics (class in pytesmo.validation_framework.metric_calculators)
BasicTemporalMatching (class in pytesmo.validation_framework.temporal_matchers)
betainc() (in module pytesmo.utils)
bias() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
boxcar_filter() (in module pytesmo.time_series.filters)
BUFRReader (class in pytesmo.io.bufr.bufr)
build_filename() (in module pytesmo.validation_framework.results_manager)
C
calc() (pytesmo.validation_framework.validation.Validation method)
,
[1]
calc_anom() (pytesmo.validation_framework.adapters.AnomalyAdapter method)
(pytesmo.validation_framework.adapters.AnomalyClimAdapter method)
calc_anomaly() (in module pytesmo.time_series.anomaly)
calc_climatology() (in module pytesmo.time_series.anomaly)
calc_metrics() (pytesmo.validation_framework.metric_calculators.BasicMetrics method)
(pytesmo.validation_framework.metric_calculators.BasicMetricsPlusMSE method)
(pytesmo.validation_framework.metric_calculators.BasicSeasonalMetrics method)
(pytesmo.validation_framework.metric_calculators.FTMetrics method)
(pytesmo.validation_framework.metric_calculators.HSAF_Metrics method)
(pytesmo.validation_framework.metric_calculators.IntercomparisonMetrics method)
(pytesmo.validation_framework.metric_calculators.MetadataMetrics method)
(pytesmo.validation_framework.metric_calculators.TCMetrics method)
calc_parameters() (pytesmo.validation_framework.data_scalers.CDFStoreParamsScaler method)
caldat() (in module pytesmo.timedate.julian)
cdf_match() (in module pytesmo.scaling)
CDFStoreParamsScaler (class in pytesmo.validation_framework.data_scalers)
check_dekad() (in module pytesmo.timedate.dekad)
check_dekad_enddate() (in module pytesmo.timedate.dekad)
check_dekad_startdate() (in module pytesmo.timedate.dekad)
check_if_biased() (in module pytesmo.metrics)
close() (pytesmo.io.sat.ers.ERS_SSM method)
colormaps_path() (in module pytesmo.colormaps.load_cmap)
combinatory_matcher() (pytesmo.validation_framework.temporal_matchers.BasicTemporalMatching method)
D
daily_images() (pytesmo.io.dataset_base.DatasetImgBase method)
DataFrameDimensionError
DataManager (class in pytesmo.validation_framework.data_manager)
DatasetImgBase (class in pytesmo.io.dataset_base)
DatasetStaticBase (class in pytesmo.io.dataset_base)
DatasetTSBase (class in pytesmo.io.dataset_base)
day2dekad() (in module pytesmo.timedate.dekad)
DefaultScaler (class in pytesmo.validation_framework.data_scalers)
dekad2day() (in module pytesmo.timedate.dekad)
dekad_index() (in module pytesmo.timedate.dekad)
dekad_startdate_from_date() (in module pytesmo.timedate.dekad)
df_match() (in module pytesmo.temporal_matching)
df_name_multiindex() (in module pytesmo.validation_framework.temporal_matchers)
doy() (in module pytesmo.timedate.julian)
ds_dict() (pytesmo.validation_framework.data_manager.DataManager property)
E
ecol() (in module pytesmo.metrics)
element_iterable() (in module pytesmo.utils)
ensure_iterable() (in module pytesmo.utils)
ERS_SSM (class in pytesmo.io.sat.ers)
exp_filter() (in module pytesmo.time_series.filters)
F
flatten() (in module pytesmo.validation_framework.data_manager)
flush() (pytesmo.io.sat.ers.ERS_SSM method)
FTMetrics (class in pytesmo.validation_framework.metric_calculators)
func() (in module pytesmo.validation_framework.start_validation)
G
gen_cdf_match() (in module pytesmo.scaling)
get_data() (pytesmo.validation_framework.data_manager.DataManager method)
get_data_for_result_tuple() (pytesmo.validation_framework.validation.Validation method)
get_dataset_names() (in module pytesmo.validation_framework.metric_calculators)
get_dekad_period() (in module pytesmo.timedate.dekad)
get_luts() (pytesmo.validation_framework.data_manager.DataManager method)
get_nearest_gp_info() (pytesmo.io.dataset_base.DatasetTSBase method)
get_other_data() (pytesmo.validation_framework.data_manager.DataManager method)
get_parameters() (pytesmo.validation_framework.data_scalers.CDFStoreParamsScaler method)
get_processing_jobs() (pytesmo.validation_framework.validation.Validation method)
,
[1]
get_result_names() (in module pytesmo.validation_framework.data_manager)
(pytesmo.validation_framework.data_manager.DataManager method)
get_results_names() (pytesmo.validation_framework.data_manager.DataManager method)
get_scaling_function() (in module pytesmo.scaling)
get_scaling_method_lut() (in module pytesmo.scaling)
get_spatial_subset() (pytesmo.io.sat.ers.ERS_SSM method)
get_system_colormaps() (in module pytesmo.colormaps.load_cmap)
get_user_colormaps() (in module pytesmo.colormaps.load_cmap)
group_by_day_bin() (in module pytesmo.time_series.grouping)
group_into_dekads() (in module pytesmo.timedate.dekad)
grouped_dates_between() (in module pytesmo.time_series.grouping)
grp_to_datetimeindex() (in module pytesmo.time_series.grouping)
H
hamming_window() (in module pytesmo.grid.resample)
HSAF_Metrics (class in pytesmo.validation_framework.metric_calculators)
I
index_of_agreement() (in module pytesmo.metrics)
IntercomparisonMetrics (class in pytesmo.validation_framework.metric_calculators)
interp_uniq() (in module pytesmo.utils)
is_leap_year() (in module pytesmo.timedate.julian)
iter_gp() (pytesmo.io.sat.ers.ERS_SSM method)
iter_images() (pytesmo.io.dataset_base.DatasetImgBase method)
iter_ts() (pytesmo.io.dataset_base.DatasetTSBase method)
(pytesmo.io.sat.ers.ERS_SSM method)
J
julday() (in module pytesmo.timedate.julian)
julian2date() (in module pytesmo.timedate.julian)
julian2datetime() (in module pytesmo.timedate.julian)
julian2datetimeindex() (in module pytesmo.timedate.julian)
julian2doy() (in module pytesmo.timedate.julian)
julian2num() (in module pytesmo.timedate.julian)
K
k_datasets_from() (pytesmo.validation_framework.validation.Validation method)
kendalltau() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
L
lin_cdf_match() (in module pytesmo.scaling)
lin_cdf_match_stored_params() (in module pytesmo.scaling)
linreg() (in module pytesmo.scaling)
linreg_params() (in module pytesmo.scaling)
linreg_stored_params() (in module pytesmo.scaling)
load() (in module pytesmo.colormaps.load_cmap)
load_colormap() (in module pytesmo.colormaps.load_cmap)
load_parameters() (pytesmo.validation_framework.data_scalers.CDFStoreParamsScaler method)
M
mad() (in module pytesmo.metrics)
mask_dataset() (pytesmo.validation_framework.validation.Validation method)
MaskingAdapter (class in pytesmo.validation_framework.adapters)
match() (pytesmo.validation_framework.temporal_matchers.BasicTemporalMatching method)
matching() (in module pytesmo.temporal_matching)
mean_std() (in module pytesmo.scaling)
messages() (pytesmo.io.bufr.bufr.BUFRReader method)
MetadataMetrics (class in pytesmo.validation_framework.metric_calculators)
min_max() (in module pytesmo.scaling)
ml_percentile() (in module pytesmo.utils)
moving_average() (in module pytesmo.time_series.filtering)
mse() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
N
nash_sutcliffe() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
netcdf_results_manager() (in module pytesmo.validation_framework.results_manager)
nrmsd() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
num2julian() (in module pytesmo.timedate.julian)
P
pairwise_apply() (in module pytesmo.df_metrics)
pearson_conf() (in module pytesmo.metrics)
pearsonr() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
pearsonr_recursive() (in module pytesmo.metrics)
perform_validation() (pytesmo.validation_framework.validation.Validation method)
plot_clim_anom() (in module pytesmo.time_series.plotting)
pytesmo (module)
pytesmo.colormaps (module)
pytesmo.colormaps.load_cmap (module)
pytesmo.df_metrics (module)
pytesmo.grid (module)
pytesmo.grid.grids (module)
pytesmo.grid.netcdf (module)
pytesmo.grid.resample (module)
pytesmo.io (module)
pytesmo.io.bufr (module)
pytesmo.io.bufr.bufr (module)
pytesmo.io.dataset_base (module)
pytesmo.io.sat (module)
pytesmo.io.sat.ers (module)
pytesmo.metrics (module)
pytesmo.scaling (module)
pytesmo.temporal_matching (module)
pytesmo.time_series (module)
pytesmo.time_series.anomaly (module)
pytesmo.time_series.filtering (module)
pytesmo.time_series.filters (module)
pytesmo.time_series.grouping (module)
pytesmo.time_series.plotting (module)
pytesmo.timedate (module)
pytesmo.timedate.dekad (module)
pytesmo.timedate.julian (module)
pytesmo.utils (module)
pytesmo.validation_framework (module)
pytesmo.validation_framework.adapters (module)
pytesmo.validation_framework.data_manager (module)
pytesmo.validation_framework.data_scalers (module)
pytesmo.validation_framework.metric_calculators (module)
pytesmo.validation_framework.results_manager (module)
pytesmo.validation_framework.start_validation (module)
pytesmo.validation_framework.temporal_matchers (module)
pytesmo.validation_framework.validation (module)
R
read() (pytesmo.io.sat.ers.ERS_SSM method)
(pytesmo.validation_framework.adapters.AnomalyAdapter method)
(pytesmo.validation_framework.adapters.AnomalyClimAdapter method)
(pytesmo.validation_framework.adapters.BasicAdapter method)
(pytesmo.validation_framework.adapters.MaskingAdapter method)
(pytesmo.validation_framework.adapters.SelfMaskingAdapter method)
read_data() (pytesmo.io.dataset_base.DatasetStaticBase method)
read_ds() (pytesmo.validation_framework.data_manager.DataManager method)
read_gp() (pytesmo.io.dataset_base.DatasetStaticBase method)
(pytesmo.io.dataset_base.DatasetTSBase method)
read_img() (pytesmo.io.dataset_base.DatasetImgBase method)
read_other() (pytesmo.validation_framework.data_manager.DataManager method)
,
[1]
read_pos() (pytesmo.io.dataset_base.DatasetStaticBase method)
read_reference() (pytesmo.validation_framework.data_manager.DataManager method)
,
[1]
read_ts() (pytesmo.io.dataset_base.DatasetTSBase method)
(pytesmo.io.sat.ers.ERS_SSM method)
(pytesmo.validation_framework.adapters.AnomalyAdapter method)
(pytesmo.validation_framework.adapters.AnomalyClimAdapter method)
(pytesmo.validation_framework.adapters.BasicAdapter method)
(pytesmo.validation_framework.adapters.MaskingAdapter method)
(pytesmo.validation_framework.adapters.SelfMaskingAdapter method)
resample_to_grid() (in module pytesmo.grid.resample)
resample_to_grid_only_valid_return() (in module pytesmo.grid.resample)
rmsd() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
RSS() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
runningdekad2date() (in module pytesmo.timedate.dekad)
S
scale() (in module pytesmo.scaling)
(pytesmo.validation_framework.data_scalers.CDFStoreParamsScaler method)
(pytesmo.validation_framework.data_scalers.DefaultScaler method)
SelfMaskingAdapter (class in pytesmo.validation_framework.adapters)
spearmanr() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
start_validation() (in module pytesmo.validation_framework.start_validation)
store_parameters() (pytesmo.validation_framework.data_scalers.CDFStoreParamsScaler method)
T
TCMetrics (class in pytesmo.validation_framework.metric_calculators)
tcol_error() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
tcol_snr() (in module pytesmo.metrics)
temporal_match_datasets() (pytesmo.validation_framework.validation.Validation method)
temporal_match_masking_data() (pytesmo.validation_framework.validation.Validation method)
tstamps_for_daterange() (pytesmo.io.dataset_base.DatasetImgBase method)
U
ubrmsd() (in module pytesmo.df_metrics)
(in module pytesmo.metrics)
unique_percentiles_beta() (in module pytesmo.utils)
unique_percentiles_interpolate() (in module pytesmo.utils)
use_lut() (pytesmo.validation_framework.data_manager.DataManager method)
V
Validation (class in pytesmo.validation_framework.validation)
W
with_traceback() (pytesmo.df_metrics.DataFrameDimensionError method)
write() (pytesmo.io.sat.ers.ERS_SSM method)
write_ts() (pytesmo.io.sat.ers.ERS_SSM method)
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