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我正在嘗試使用Python編寫的IDL代碼通過其標準偏差函數中的一系列值計算背景噪音。下面的代碼:將IDL代碼翻譯爲Python
; (INPUT)
; data = 1-D array of intensities
; (OUTPUT)
; bck,sig = background and fluctuations (1 sig level)
; ndata = number of values upon which bck,sig are computed
; POSITIVE = retains only data values > 0
; NSIG = number of sigmas
if not(keyword_set(NSIG)) then nsig=3.
if keyword_set(POSITIVE) then begin
test=where(data gt 0.)
if test(0) ne -1 then data2=data(test) else begin
bck=0 & sig=-1 & ndata=0 & goto,out
endelse
endif else data2=data
if n_elements(data2) gt 1 then begin
bck=mean(data2,/double) & sig=stddev(data2,/double)
endif else begin
bck=data2(0) & sig=0 & ndata=1 & goto,out
endelse
ndata=1
loop:
test=where(abs(data2-bck) lt nsig*sig)
if n_elements(test) eq 1 then goto,out
ndata=n_elements(test)
moy=mean(data2(test),/double)
sig=stddev(data2(test),/double)
if moy eq bck then goto,out
bck=moy
goto,loop
out:
return
end
代碼的心臟是循環的,這裏是我試圖複製它:
def bg(array):
temp = []
for i in range(len(array)):
if array[i]-np.mean(array) < 3*np.std(array):
temp.append(array[i])
avg=mean(temp)
return avg
這是正確的嗎?原始代碼是否只能找到那些低於3 * std的值的平均值?
這一行中的1實際上意味着什麼? if n_elements(test) eq 1 then goto,out