helikite.processing.post.level1

Functions

`create_level1_dataframe`(df)	Create a level 1 DataFrame by selecting specific columns and returning a copy.
`rename_columns`(df)	Renames columns of the input DataFrame according to predefined rules.
`round_flightnbr_campaign`(df, metadata[, decimals])	Round numeric columns of the DataFrame with special handling for 'Lat' and 'Long',
`fill_msems_takeoff_landing`(df, metadata[, ...])	Fill missing values in mSEMS columns at takeoff and landing times using nearby values.
`flight_profiles_1`(df, metadata[, xlims, xticks, fig_title])
`flight_profiles_2`(df, metadata[, xlims, xticks, fig_title])
`filter_data`(df)

helikite.processing.post.level1.create_level1_dataframe(df)

Create a level 1 DataFrame by selecting specific columns and returning a copy.

helikite.processing.post.level1.rename_columns(df)

Renames columns of the input DataFrame according to predefined rules.

Parameters:: df (pd.DataFrame) – The DataFrame with columns to be renamed.
Returns:: DataFrame with renamed columns.
Return type:: pd.DataFrame

helikite.processing.post.level1.round_flightnbr_campaign(df, metadata, decimals=2)

Round numeric columns of the DataFrame with special handling for ‘Lat’ and ‘Long’, and add columns for flight number and campaign.

Parameters:

df (pd.DataFrame) – The DataFrame to be rounded and modified.
metadata (object) – Metadata object containing the ‘flight’ attribute.
decimals (int, optional) – The number of decimal places to round to (default is 2).

Returns:

The rounded and modified DataFrame with additional columns.

Return type:

pd.DataFrame

helikite.processing.post.level1.fill_msems_takeoff_landing(df, metadata, time_window_seconds=90)

Fill missing values in mSEMS columns at takeoff and landing times using nearby values.

Parameters:

df (pd.DataFrame) – DataFrame with a DateTimeIndex where filling should occur.
metadata (object) – An object containing takeoff_time and landing_time attributes.
time_window_seconds (int, optional) – Number of seconds before/after to search for replacement values (default: 90).

helikite.processing.post.level1.flight_profiles_1(df, metadata, xlims=None, xticks=None, fig_title=None)

helikite.processing.post.level1.flight_profiles_2(df, metadata, xlims=None, xticks=None, fig_title=None)