Ctrl+K

yarara

Ctrl+K

General information

  • Home page
  • Data format
  • Products

API

  • API
    • yarara
      • analysis
        • table
        • table_xy
      • constants
      • deprecated
        • try_field
      • iofun
        • open_pickle
        • pickle_dump
        • save_pickle
        • touch_pickle
      • materials
        • Contam_HARPN
        • FixedFloat
        • FixedInt
        • FixedString
        • Ghost_HARPN
        • SIMBADEntry
        • Table_stellar_model
        • Telluric_spectrum
      • mathfun
        • gaussian
        • lorentzian
        • parabole
        • sinus
        • voigt
      • plots
        • auto_axis
        • init_matplotlib
        • my_colormesh
        • plot_color_box
        • plot_copy_time
        • transit_draw
      • run_yarara
        • cli
        • run
        • Task
      • stages
        • load_and_adapt_input_data
        • matching_activity
        • matching_brute
        • matching_contam
        • matching_cosmics
        • matching_fourier
        • matching_ghost_a
        • matching_ghost_b
        • matching_mad
        • matching_oxygen
        • matching_pca
        • matching_smooth
        • matching_telluric
        • preprocessing
        • statistics
        • stellar_atmos1
      • stats
        • clustering
        • misc
        • nearest
        • rm_outliers
        • smooth
      • sts
        • SIF_float
        • SIF_float_telluric
        • SIF_int
        • SIF_str
        • StarInfo
        • spec_time_series
      • util
        • assert_never
        • ccf_fun
        • doppler_r
        • flux_norm_std
        • get_phase
        • map_rnr
        • my_ruler
        • print_box
        • print_iter
        • ratio_line
        • sphinx
        • string_contained_in
        • yarara_artefact_suppressed
Theme by the Executable Book Project

rm_outliers

Contents

  • rm_outliers()

rm_outliers#

rm_outliers(array_: ndarray, return_borders: bool = False, m: Union[float, float64, int] = 1.5, kind: str = 'sigma', axis: int = 0) → Tuple[ndarray, ndarray][source]#
rm_outliers(array_: ndarray, return_borders: bool, m: Union[float, float64, int] = 1.5, kind: str = 'sigma', axis: int = 0) → Tuple[ndarray, ndarray]
Return type:

Tuple[ndarray, ndarray]

previous

match_nearest

next

smooth

Contents
  • rm_outliers()

© Copyright 2022, Michael Cretignier and Denis Rosset.