processing.estimate_nest_position(df, params)
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Estimate the nest position from longitude and latitude data. |
processing.add_is_night(df, params)
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Add to the dataframe an additional is_night boolean column worth 1 if it is night, 0 otherwise. |
processing.add_step_time(df)
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Add to the dataframe an additional step_time column that gives the step time in seconds. |
processing.add_step_length(df)
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Add to the dataframe an additional step_length column that gives the step length in kilometers. |
processing.add_step_speed(df)
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Add to the dataframe an additional step_speed column that gives the step ground speed in kilometers per hour. |
processing.add_step_heading(df)
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Add to the dataframe an additional step_heading column that gives step heading in degrees. |
processing.add_step_turning_angle(df)
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Add to the dataframe an additional step_turning_angle column that gives the step turning angle in degrees (between -180° and +180°). |
processing.add_step_heading_to_colony(df, params)
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Add to the dataframe an additional step_heading_to_colony column that gives heading to the colony in degrees. |
processing.add_dist_to_nest(df, params)
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Add to the dataframe an additional dist_to_nest column that gives the orthodromic distance to the estimated nest position in kilometers. |
processing.add_trip(df, params)
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Add to the dataframe an additional trip column that gives the trip identifier number. |
processing.add_depth(df)
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Add to the dataframe an additional depth column that gives the estimated underwater depth in negative meters. |
processing.add_dive(df, params)
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Add to the dataframe an additional dive column that gives the dive id number. |
processing.add_filtered_acc(df, params)
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Add to the dataframe the additional ax_f, ay_f and az_f columns of the filtered triaxial accelerations. |
processing.add_odba(df, params)
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Add to the dataframe the additional odba and odba_f columns of the raw and filtered overall dynamical body acceleration. |
processing.add_is_suspicious(df, params)
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Add to the dataframe the additional is_suspicious boolean column tagging suspicious position recordings. |
processing.interpolate_lat_lon(df, ...[, ...])
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Interpolate longitude and latitude at a given datetime. |
processing.add_basic_data(df, params)
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Enhance the dataframe with the additional basic data. |
processing.add_gps_data(df, params[, clean])
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Enhance the dataframe with the additional gps data. |
processing.add_tdr_data(df, params)
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Enhance the dataframe with the additional tdr data. |
processing.add_axy_data(df, params)
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Enhance the dataframe with the additional axy data. |
processing.compute_basic_infos(df)
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Produce the dictionary of basic infos. |
processing.compute_gps_infos(df, params)
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Produce the dictionary of gps infos. |
processing.compute_tdr_infos(df)
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Produce the dictionary of tdr infos. |
processing.compute_axy_infos(df)
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Produce the dictionary of axy infos. |