fiberoptics.common.processing

Data processing functions including a variety of filters.

Functions

depth_aggregation(df[, aggregation_window, ...])	Groups input dataframe by columns (depth) and then performs aggregation for each of the created groups.
low_cut_filter(df, numtaps, cutoff[, fs])	Performs a low-cut filter.
median_depth_filter(df, length)	Performs a median filter along the depth axis.
moveout_correction(df, channel, moveout)	Performs a moveout correction.
resample_raw_data(df, dec)	Performs resampling in time using polyphase filtering.
rolling_rms_window(df, window[, min_periods])	Computes the RMS with a given window size.
split_around_gaps(df, min_gap_length)	Split input DataFrame into multiple DataFrames around the gaps in the index

Classes

datetime(year, month, day[, hour[, minute[, ...)	The year, month and day arguments are required.
timedelta	Difference between two datetime values.