1.2. cpforager.TDR
- class cpforager.TDR(df, group, id, params)
A class to represent the TDR data of a central-place foraging seabird.
- __init__(df, group, id, params)
Constructor of a TDR object.
- Parameters:
df (pandas.DataFrame) – the dataframe containing
datetime
,pressure
andtemperature
columns. Type ofdatetime
column must be datetime64.group (str) – the string representing the group to which the TDR data belongs (e.g. species, year, fieldwork, etc.) useful for statistics and filtering.
id (str) – the string representing the unique identifier of the central-place foraging seabird.
params (dict) – the parameters dictionary.
- Variables:
df (pandas.DataFrame) – the dataframe containing the raw and processed TDR data.
group (str) – The string representing the group to which the TDR data belongs (e.g. species, year, fieldwork, etc.) useful for statistics and filtering.
id (str) – The string representing the unique identifier of the central-place foraging seabird.
params (dict) – The dictionary containing the parameters used for the TDR data processing.
n_df (int) – the number of measures in the TDR recording.
start_datetime (datetime.datetime) – the starting datetime of the TDR recording.
end_datetime (datetime.datetime) – the ending datetime of the TDR recording.
resolution (float) – the time resolution of the TDR data in seconds estimated as the median value of the step times.
total_duration (float) – the total duration of the TDR recording in days.
n_dives (int) – the number of dives realised by the seabird.
median_pressure (float) – the median pressure in hPa.
median_depth (float) – the median depth in meters.
max_depth (float) – the maximum depth in meters.
mean_temperature (float) – the mean temperature in °C.
dive_statistics (pandas.DataFrame) – the dataframe containing the dive statistics where one row corresponds to one dive.
Methods
__init__
(df, group, id, params)Constructor of a TDR object.
display_data_summary
([standalone])Print in terminal the TDR data summary.
full_diag
(fig_dir, file_id, plot_params)Produce the full diagnostic of the TDR data.