Index

_

_attrs (flasc.flasc_dataframe.FlascDataFrame attribute) _cache (flasc.flasc_dataframe.FlascDataFrame attribute) _compute_energy_ratio_bootstrap() (in module flasc.analysis.energy_ratio) _compute_energy_ratio_single() (in module flasc.analysis.energy_ratio) _compute_total_uplift_bootstrap() (in module flasc.analysis.total_uplift) _compute_total_uplift_single() (in module flasc.analysis.total_uplift) _compute_ws_counts() (flasc.analysis.energy_ratio_output.EnergyRatioOutput method), [1] _constructor (flasc.flasc_dataframe.FlascDataFrame property), [1] _convert_long_to_wide() (flasc.flasc_dataframe.FlascDataFrame method), [1] _convert_wide_to_long() (flasc.flasc_dataframe.FlascDataFrame method), [1] _fi_set_ws_wd_ti() (in module flasc.utilities.floris_tools) _find_sensor_stuck_single_timearray() (in module flasc.data_processing.find_sensor_faults) _get_all_unique_flags() (flasc.data_processing.filtering.FlascFilter method), [1] _get_energy_ratio() (in module flasc.analysis.energy_ratio_heterogeneity_mapper) _get_energy_ratios_allbins() (flasc.data_processing.energy_ratio_wd_bias_estimation.bias_estimation method), [1]

_get_mean_power_curves() (flasc.data_processing.filtering.FlascFilter method), [1] _interpolate_with_max_gap() (in module flasc.utilities.utilities) _load_er_input_for_wd_bias() (flasc.data_processing.energy_ratio_wd_bias_estimation.bias_estimation method), [1] _metadata (flasc.flasc_dataframe.FlascDataFrame attribute), [1] _mgr (flasc.flasc_dataframe.FlascDataFrame attribute) _plot_top_sensor_faults() (in module flasc.data_processing.find_sensor_faults) _process_single_wd() (flasc.analysis.energy_ratio_heterogeneity_mapper.heterogeneity_mapper method), [1] _repr_html_() (flasc.flasc_dataframe.FlascDataFrame method), [1] _reset_mean_power_curves() (flasc.data_processing.filtering.FlascFilter method), [1] _set_col_by_n_closest_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations) _set_col_by_radius_from_turbine() (in module flasc.data_processing.dataframe_manipulations) _set_col_by_turbines() (in module flasc.data_processing.dataframe_manipulations) _set_col_by_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations) _set_col_by_upstream_turbines_in_radius() (in module flasc.data_processing.dataframe_manipulations) _set_legend_alpha_to_one() (flasc.data_processing.filtering.FlascFilter method), [1]

A

add_bin_weights() (in module flasc.utilities.energy_ratio_utilities), [1] add_gaussian_blending_to_floris_approx_table() (in module flasc.utilities.floris_tools), [1] add_power_ref() (in module flasc.utilities.energy_ratio_utilities), [1] add_power_test() (in module flasc.utilities.energy_ratio_utilities), [1]

add_reflected_rows() (in module flasc.utilities.energy_ratio_utilities), [1] add_wd() (in module flasc.utilities.energy_ratio_utilities), [1] add_wd_bin() (in module flasc.utilities.energy_ratio_utilities), [1] add_ws() (in module flasc.utilities.energy_ratio_utilities), [1] add_ws_bin() (in module flasc.utilities.energy_ratio_utilities), [1]

B

bias_estimation (class in flasc.data_processing.energy_ratio_wd_bias_estimation), [1]

bin_and_group_dataframe() (in module flasc.utilities.energy_ratio_utilities), [1] bin_column() (in module flasc.utilities.energy_ratio_utilities), [1]

C

calc_floris_approx_table() (in module flasc.utilities.floris_tools), [1] calc_wd_mean_radial() (in module flasc.utilities.circular_statistics), [1] calculate_baseline() (flasc.data_processing.energy_ratio_wd_bias_estimation.bias_estimation method), [1] calculate_wd_statistics() (in module flasc.utilities.circular_statistics), [1] check_compute_energy_ratio_inputs() (in module flasc.utilities.energy_ratio_utilities), [1] check_flasc_format() (flasc.flasc_dataframe.FlascDataFrame method), [1] compute_energy_ratio() (in module flasc.analysis.energy_ratio), [1]

compute_total_uplift() (in module flasc.analysis.total_uplift), [1] convert_time_to_datetime() (flasc.flasc_dataframe.FlascDataFrame method), [1] convert_to_flasc_format() (flasc.flasc_dataframe.FlascDataFrame method), [1] convert_to_user_format() (flasc.flasc_dataframe.FlascDataFrame method), [1] copy_metadata() (flasc.flasc_dataframe.FlascDataFrame method), [1] crosscheck_northing_offset_consistency() (in module flasc.data_processing.northing_offset), [1] cut() (in module flasc.utilities.energy_ratio_utilities), [1]

D

df_downsample() (in module flasc.data_processing.time_operations), [1] df_drop_nan_rows() (in module flasc.data_processing.dataframe_manipulations), [1] df_find_and_fill_data_gaps_with_missing() (in module flasc.data_processing.dataframe_manipulations), [1] df_get_no_faulty_measurements() (in module flasc.data_processing.filtering), [1] df_mark_turbdata_as_faulty() (in module flasc.data_processing.filtering), [1]

df_movingaverage() (in module flasc.data_processing.time_operations), [1] df_reduce_precision() (in module flasc.data_processing.dataframe_manipulations), [1] df_resample_by_interpolation() (in module flasc.data_processing.time_operations), [1] df_sort_and_find_duplicates() (in module flasc.data_processing.dataframe_manipulations), [1] df_sort_and_fix_duplicates() (in module flasc.data_processing.dataframe_manipulations), [1]

E

EnergyRatioInput (class in flasc.analysis.energy_ratio_input), [1] EnergyRatioOutput (class in flasc.analysis.energy_ratio_output), [1] estimate_dt() (in module flasc.utilities.utilities), [1]

estimate_heterogeneity() (flasc.analysis.energy_ratio_heterogeneity_mapper.heterogeneity_mapper method), [1] estimate_ti() (in module flasc.utilities.optimization), [1] estimate_wd_bias() (flasc.data_processing.energy_ratio_wd_bias_estimation.bias_estimation method), [1] export_to_windup_format() (flasc.flasc_dataframe.FlascDataFrame method), [1]

F

filter_all_nulls() (in module flasc.utilities.energy_ratio_utilities), [1] filter_any_nulls() (in module flasc.utilities.energy_ratio_utilities), [1] filter_by_condition() (flasc.data_processing.filtering.FlascFilter method), [1] filter_by_floris_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] filter_by_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] filter_by_sensor_stuck_faults() (flasc.data_processing.filtering.FlascFilter method), [1] filter_df_by_faulty_impacting_turbines() (in module flasc.data_processing.filtering), [1] filter_df_by_ti() (in module flasc.data_processing.dataframe_manipulations), [1] filter_df_by_wd() (in module flasc.data_processing.dataframe_manipulations), [1] filter_df_by_ws() (in module flasc.data_processing.dataframe_manipulations), [1] find_sensor_stuck_faults() (in module flasc.data_processing.find_sensor_faults), [1] find_timeshift_between_dfs() (in module flasc.utilities.optimization), [1] flasc.analysis module flasc.analysis.energy_ratio module flasc.analysis.energy_ratio_heterogeneity_mapper module flasc.analysis.energy_ratio_input module flasc.analysis.energy_ratio_output module flasc.analysis.total_uplift module flasc.data_processing module flasc.data_processing.dataframe_manipulations module flasc.data_processing.energy_ratio_wd_bias_estimation module

flasc.data_processing.filtering module flasc.data_processing.find_sensor_faults module flasc.data_processing.northing_offset module flasc.data_processing.time_operations module flasc.flasc_dataframe module flasc.utilities module flasc.utilities.circular_statistics module flasc.utilities.energy_ratio_utilities module flasc.utilities.floris_tools module flasc.utilities.lookup_table_tools module flasc.utilities.optimization module flasc.utilities.tuner_utilities module flasc.utilities.utilities module flasc.utilities.utilities_examples module FlascDataFrame (class in flasc.flasc_dataframe), [1] FlascFilter (class in flasc.data_processing.filtering), [1] flatten_cols() (in module flasc.data_processing.time_operations), [1]

G

generate_block_list() (in module flasc.analysis.energy_ratio_input), [1] generate_floris_hetmap() (flasc.analysis.energy_ratio_heterogeneity_mapper.heterogeneity_mapper method), [1] get_all_dependent_turbines() (in module flasc.utilities.floris_tools), [1] get_all_impacting_turbines() (in module flasc.utilities.floris_tools), [1] get_all_impacting_turbines_geometrical() (in module flasc.utilities.floris_tools), [1] get_column_mean() (in module flasc.data_processing.dataframe_manipulations), [1] get_dependent_turbines_by_wd() (in module flasc.utilities.floris_tools), [1]

get_df() (flasc.analysis.energy_ratio_input.EnergyRatioInput method), [1] (flasc.data_processing.filtering.FlascFilter method), [1] get_num_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] (in module flasc.utilities.utilities), [1] get_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] get_turbs_in_radius() (in module flasc.utilities.floris_tools), [1] get_upstream_turbs_floris() (in module flasc.utilities.floris_tools), [1] get_yaw_angles_interpolant() (in module flasc.utilities.lookup_table_tools), [1]

H

heterogeneity_mapper (class in flasc.analysis.energy_ratio_heterogeneity_mapper), [1]

I

in_flasc_format (flasc.flasc_dataframe.FlascDataFrame property), [1] interp_with_max_gap() (in module flasc.utilities.utilities), [1]

interpolate_floris_from_df_approx() (in module flasc.utilities.floris_tools), [1] is_day_or_night() (in module flasc.data_processing.dataframe_manipulations), [1]

L

load_floris_artificial() (in module flasc.utilities.utilities_examples), [1]

load_floris_smarteole() (in module flasc.utilities.utilities_examples), [1]

M

match_y_curves_by_offset() (in module flasc.utilities.optimization), [1] module flasc.analysis flasc.analysis.energy_ratio flasc.analysis.energy_ratio_heterogeneity_mapper flasc.analysis.energy_ratio_input flasc.analysis.energy_ratio_output flasc.analysis.total_uplift flasc.data_processing flasc.data_processing.dataframe_manipulations flasc.data_processing.energy_ratio_wd_bias_estimation flasc.data_processing.filtering flasc.data_processing.find_sensor_faults flasc.data_processing.northing_offset flasc.data_processing.time_operations flasc.flasc_dataframe flasc.utilities flasc.utilities.circular_statistics flasc.utilities.energy_ratio_utilities flasc.utilities.floris_tools flasc.utilities.lookup_table_tools flasc.utilities.optimization flasc.utilities.tuner_utilities flasc.utilities.utilities flasc.utilities.utilities_examples

N

n_turbines (flasc.flasc_dataframe.FlascDataFrame property), [1]

nested_get() (in module flasc.utilities.tuner_utilities), [1] nested_set() (in module flasc.utilities.tuner_utilities), [1]

P

plot_energy_ratios() (flasc.analysis.energy_ratio_output.EnergyRatioOutput method), [1] (flasc.data_processing.energy_ratio_wd_bias_estimation.bias_estimation method), [1] plot_farm_mean_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] plot_filters_custom_scatter() (flasc.data_processing.filtering.FlascFilter method), [1] plot_filters_custom_scatter_bokeh() (flasc.data_processing.filtering.FlascFilter method), [1] plot_filters_in_time() (flasc.data_processing.filtering.FlascFilter method), [1]

plot_filters_in_time_bokeh() (flasc.data_processing.filtering.FlascFilter method), [1] plot_filters_in_ws_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] plot_graphs() (flasc.analysis.energy_ratio_heterogeneity_mapper.heterogeneity_mapper method), [1] plot_layout() (flasc.analysis.energy_ratio_heterogeneity_mapper.heterogeneity_mapper method), [1] plot_postprocessed_in_ws_power_curve() (flasc.data_processing.filtering.FlascFilter method), [1] plot_sun_altitude_with_day_night_color() (in module flasc.data_processing.dataframe_manipulations), [1] plot_uplift() (flasc.analysis.energy_ratio_output.EnergyRatioOutput method), [1]

R

replicate_nan_values() (in module flasc.utilities.tuner_utilities), [1] resample_energy_table() (flasc.analysis.energy_ratio_input.EnergyRatioInput method), [1]

reset_filters() (flasc.data_processing.filtering.FlascFilter method), [1] resim_floris() (in module flasc.utilities.tuner_utilities), [1]

S

set_pow_ref_by_n_closest_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_pow_ref_by_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_pow_ref_by_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_pow_ref_by_upstream_turbines_in_radius() (in module flasc.data_processing.dataframe_manipulations), [1] set_ti_by_all_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ti_by_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ti_by_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ti_by_upstream_turbines_in_radius() (in module flasc.data_processing.dataframe_manipulations), [1]

set_wd_by_all_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_wd_by_radius_from_turbine() (in module flasc.data_processing.dataframe_manipulations), [1] set_wd_by_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ws_by_all_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ws_by_n_closest_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ws_by_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ws_by_upstream_turbines() (in module flasc.data_processing.dataframe_manipulations), [1] set_ws_by_upstream_turbines_in_radius() (in module flasc.data_processing.dataframe_manipulations), [1]

T

to_feather() (flasc.flasc_dataframe.FlascDataFrame method), [1]