Freqs=[10000,11000,12000,13000,14000,15000] #list
import numpy as np
FreqsSelList=np.array( Freqs ) #array
for i in range(len(FreqsSelList)):
idx = np.argmin(abs(Freqs-FreqsSelList[i])) ;
print(“abs”,abs(Freqs-FreqsSelList[i]))
print(“idx”,idx)

需要注意abs()
該物件為array,非list
若依註解處寫法:
FreqsSelList=[10000,11000,12000,13000,14000,15000]
會出現 TypeError:
unsupported operand type(s) for -: ‘list’ and ‘int’








![Python如何讀寫csv逗點分隔檔(每列內容為新光增有利現金流)?pandas.read_csv(r”路徑\檔名.副檔名”),如何移除list中的nan元素?math.isnan(),如何計算新光增有利IRR?numpy_financial(array) ;輸出csv檔時如何去掉index跟header?如何選擇要寫入的直欄columns? dfFinal.to_csv(fpath, index=False, header=None, columns=[0,1]) Python如何讀寫csv逗點分隔檔(每列內容為新光增有利現金流)?pandas.read_csv(r”路徑\檔名.副檔名”),如何移除list中的nan元素?math.isnan(),如何計算新光增有利IRR?numpy_financial(array) ;輸出csv檔時如何去掉index跟header?如何選擇要寫入的直欄columns? dfFinal.to_csv(fpath, index=False, header=None, columns=[0,1])](https://i0.wp.com/savingking.com.tw/wp-content/uploads/2022/11/20221110122900_3.png?quality=90&zoom=2&ssl=1&resize=350%2C233)


近期留言