h5analysis.simplemath

Collection of simple math operations that may be applied to data

Functions

apply_offset(stream[, offset, coffset])	Apply constant or polynomial offset to specified stream
apply_savgol(x, y, window, polyorder, deriv)	Appply smoothing and take derivatives
bin_data(x_data, y_data, binsize)	Reduce noise by averaging data points via binning mechanisms
bin_shape_1d(arr, width)	Bins 1d arrays by truncating the array at the end if necessary and calculating the mean in each bin
bin_shape_x(arr, width)	Bins 2d matrices in the x direction, i.e. it maintains the number of rows, by truncating the matrix at the end if necessary and calculating the mean in each bin.
bin_shape_y(arr, width)	Bins 2d matrices in the y direction, i.e. it maintains the number of columns, by truncating the matrix at the end if necessary and calculating the mean in each bin.
grid_data(x_stream, y_stream, grid)	Grid 1d data
grid_data2d(x_data, y_data, detector[, ...])	Internal function to apply specified grid or ensure otherwise that axes are evenly spaced as this is required to plot an image.
grid_data_mesh(x_data, y_data, z_data, ...)	Internal function to generate scatter histogram for 3 independent SCA streams.
handle_eval(expr, vars)	Replaces any NaN and inf values from evaluated array