helikite.processing.post.crosscorrelation

Functions

`crosscorr`(datax, datay[, lag])	Lag-N cross correlation.
`df_derived_by_shift`(df_init[, lag, NON_DER])
`df_findtimelag`(df, range_list[, instname])
`df_lagshift`(df_instrument, df_reference, shift_quantity)	Shifts the instrument's dataframe by the given quantity.
`matchpress`(dfpressure, refpresFC, takeofftimeFL, walktime)
`presdetrend`(dfpressure, takeofftimeFL, landingtimeFL)	detrend instrument pressure measurements

Module Contents

helikite.processing.post.crosscorrelation.crosscorr(datax, datay, lag=10)

Lag-N cross correlation. :param lag: :type lag: int, default 0 :param datax: :type datax: pandas.Series objects of equal length :param datay: :type datay: pandas.Series objects of equal length

Returns:: crosscorr
Return type:: float

helikite.processing.post.crosscorrelation.df_derived_by_shift(df_init, lag=0, NON_DER=[])

helikite.processing.post.crosscorrelation.df_findtimelag(df, range_list, instname='')

helikite.processing.post.crosscorrelation.df_lagshift(df_instrument, df_reference, shift_quantity, instrument_name=''): Shifts the instrument’s dataframe by the given quantity. First, match the instrument with the index of the reference instrument.

helikite.processing.post.crosscorrelation.matchpress(dfpressure, refpresFC, takeofftimeFL, walktime)

helikite.processing.post.crosscorrelation.presdetrend(dfpressure, takeofftimeFL, landingtimeFL): detrend instrument pressure measurements