NHS_postprocessing
Contents:
Quick Start
Preprocessing
Data Processing/Manipulation
Metrics Calculations
Visualization
Forecast Evaluation
Analysis
Contribution
Jupyter Notebook Tutorials:
Data Manipulation Tutorial
Visualizations Tutorial
Metrics Calculations Tutorial
NHS_postprocessing
Index
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Index
A
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B
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C
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D
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F
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G
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H
|
I
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K
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L
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M
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N
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P
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Q
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R
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S
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T
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V
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W
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Y
A
available_metrics() (in module postprocessinglib.evaluation.metrics)
B
bias() (in module postprocessinglib.evaluation.metrics)
bounded_plot() (in module postprocessinglib.evaluation.visuals)
C
calculate_all_metrics() (in module postprocessinglib.evaluation.metrics)
calculate_metrics() (in module postprocessinglib.evaluation.metrics)
calculate_volume() (in module postprocessinglib.evaluation.visuals)
check_valid_dataframe() (in module postprocessinglib.utilities._helper_functions)
columns_to_MultiIndex() (in module postprocessinglib.utilities._helper_functions)
connect_to_wcs() (in module postprocessinglib.forecast.forecast)
D
daily_aggregate() (in module postprocessinglib.evaluation.data)
datetime_to_index() (in module postprocessinglib.utilities._helper_functions)
F
fcst_times_from_wms() (in module postprocessinglib.forecast.forecast)
filter_valid_data() (in module postprocessinglib.utilities._helper_functions)
find_stn_target_gridcell() (in module postprocessinglib.forecast.forecast)
flow_duration_curve() (in module postprocessinglib.evaluation.visuals)
forecast_data_extraction() (in module postprocessinglib.forecast.forecast)
forecast_error_calculation() (in module postprocessinglib.forecast.forecast)
G
generate_dataframes() (in module postprocessinglib.evaluation.data)
generate_dataframes_from_mesh() (in module postprocessinglib.evaluation.data)
generate_nsrps() (in module postprocessinglib.forecast.forecast)
get_auth() (in module postprocessinglib.forecast.forecast)
H
histogram() (in module postprocessinglib.evaluation.visuals)
I
is_leap_year() (in module postprocessinglib.utilities._helper_functions)
K
kge() (in module postprocessinglib.evaluation.metrics)
kge_2012() (in module postprocessinglib.evaluation.metrics)
L
lognse() (in module postprocessinglib.evaluation.metrics)
long_term_seasonal() (in module postprocessinglib.evaluation.data)
M
mae() (in module postprocessinglib.evaluation.metrics)
module
postprocessinglib.evaluation.metrics
postprocessinglib.evaluation.visuals
postprocessinglib.forecast.forecast
postprocessinglib.utilities._helper_functions
monthly_aggregate() (in module postprocessinglib.evaluation.data)
mse() (in module postprocessinglib.evaluation.metrics)
MultiIndex_to_datetime() (in module postprocessinglib.utilities._helper_functions)
N
nse() (in module postprocessinglib.evaluation.metrics)
P
plot() (in module postprocessinglib.evaluation.visuals)
postprocessinglib.evaluation.metrics
module
postprocessinglib.evaluation.visuals
module
postprocessinglib.forecast.forecast
module
postprocessinglib.utilities._helper_functions
module
predictions_from_wcs() (in module postprocessinglib.forecast.forecast)
prepare_historical_dataframes() (in module postprocessinglib.forecast.forecast)
Q
QPEAK() (in module postprocessinglib.evaluation.metrics)
qqplot() (in module postprocessinglib.evaluation.visuals)
R
rmse() (in module postprocessinglib.evaluation.metrics)
S
scatter() (in module postprocessinglib.evaluation.visuals)
seasonal_period() (in module postprocessinglib.evaluation.data)
sig_figs() (in module postprocessinglib.utilities._helper_functions)
slope_fdc() (in module postprocessinglib.evaluation.metrics)
SpringPulseOnset() (in module postprocessinglib.evaluation.metrics)
stat_aggregate() (in module postprocessinglib.evaluation.data)
station_dataframe() (in module postprocessinglib.evaluation.data)
stns_on_grid() (in module postprocessinglib.forecast.forecast)
T
time_to_centre_of_mass() (in module postprocessinglib.evaluation.metrics)
time_to_peak() (in module postprocessinglib.evaluation.metrics)
twelve_hour_aggregate() (in module postprocessinglib.evaluation.data)
V
validate_data() (in module postprocessinglib.utilities._helper_functions)
W
weekly_aggregate() (in module postprocessinglib.evaluation.data)
Y
yearly_aggregate() (in module postprocessinglib.evaluation.data)