helikite.instruments.flight_computer

Attributes

`logger`
`flight_computer_v1`
`flight_computer_v2`

Classes

`FlightComputer`	Helper class that provides a standard way to create an ABC using
`FlightComputerV1`	This flight computer relates to the first version used in campaigns
`FlightComputerV2`	This flight computer relates to the second version used in campaigns

Module Contents

helikite.instruments.flight_computer.logger

class helikite.instruments.flight_computer.FlightComputer(name: str, dtype: dict[Any, Any] = {}, na_values: list[Any] | None = None, header: int | None = 0, expected_header_value: str | None = None, delimiter: str = ',', lineterminator: str | None = None, comment: str | None = None, names: list[str] | None = None, index_col: bool | int | None = None, cols_export: list[str] = [], cols_housekeeping: list[str] = [], cols_final: list[str] | None = None, export_order: int | None = None, pressure_variable: str | None = None, temperature_variable: str | None = None, rh_variable: str | None = None, registry_name: str | None = None, coupled_columns: list[tuple[str, Ellipsis]] | None = None, rename_dict: dict[str, str] | None = None)

Bases: helikite.instruments.base.Instrument

Helper class that provides a standard way to create an ABC using inheritance.

__repr__()

property T1_column: str

Abstractmethod:

property T2_column: str

Abstractmethod:

property H1_column: str

Abstractmethod:

property H2_column: str

Abstractmethod:

property lat_column: str | None

Abstractmethod:

property long_column: str | None

Abstractmethod:

class helikite.instruments.flight_computer.FlightComputerV1(*args, **kwargs)

Bases: FlightComputer

This flight computer relates to the first version used in campaigns in 2023, 2024. A new version was designed in 2024. See FlightComputerV2.

property T1_column: str

property T2_column: str

property H1_column: str

property H2_column: str

property lat_column: str | None

property long_column: str | None

data_corrections(df: pandas.DataFrame, *, start_altitude: float | None = None, start_pressure: float | None = None, start_temperature: float | None = None, start_duration_seconds: int = 10) → pandas.DataFrame

Default callback function for data corrections.

Return with no changes

set_time_as_index(df: pandas.DataFrame) → pandas.DataFrame

Set the DateTime as index of the dataframe and correct if needed

Using values in the time_offset variable, correct DateTime index

read_data() → pandas.DataFrame: Read data into dataframe

class helikite.instruments.flight_computer.FlightComputerV2(*args, **kwargs)

Bases: FlightComputer

This flight computer relates to the second version used in campaigns in 2024. This version uses a new set of metadata and a modified CSV format.

property lat_column: str | None

property long_column: str | None

property T1_column: str

property T2_column: str

property H1_column: str

property H2_column: str

read_data() → pandas.DataFrame: Read data into dataframe, adjusting for duplicate headers.

data_corrections(df: pandas.DataFrame, **kwargs) → pandas.DataFrame

Default callback function for data corrections.

Return with no changes

set_time_as_index(df: pandas.DataFrame) → pandas.DataFrame

Set the DateTime as index of the dataframe and correct if needed

The DateTime column is represented as YYMMMM-HHMMSS, so we need to convert this to a datetime object. Example: 240926-141516

helikite.instruments.flight_computer.flight_computer_v1

helikite.instruments.flight_computer.flight_computer_v2