fname = r”\ParametricStudy_RF_SweepGain-20to60_gain55.mat”
folder = r”C:\Python\Radar”
pathf = folder+fname
#print(pathf)
import scipy.io
dic = scipy.io.loadmat(pathf)
print(dic,type(dic))
# scipy.io.savemat(SavePath, rawdict) #存檔
#SavePath = 路徑+檔名+ .mat
部分輸出結果:
![Python TQC 510 費氏數列,list[], f.append(n3)](https://i0.wp.com/savingking.com.tw/wp-content/uploads/2022/04/20220522152013_66.jpg?quality=90&zoom=2&ssl=1&resize=350%2C233 "Python TQC 510 費氏數列,list[], f.append(n3)")
![Python 如何用pandas.Series.nsmallest() 找到n個與target差距最小的index?再從中找到距離idxmax最近的index?避免誤抓sidelobes的index? targetIdx = (serMean-target_value).abs().nsmallest(n).index.tolist() ;Series切片: .loc[標籤名1:標籤名2] (會含標籤名2) ; .iloc[位置1:位置2] (不含位置2)](https://i2.wp.com/savingking.com.tw/wp-content/uploads/2023/02/20230222082954_53.png?quality=90&zoom=2&ssl=1&resize=350%2C233 "Python 如何用pandas.Series.nsmallest() 找到n個與target差距最小的index?再從中找到距離idxmax最近的index?避免誤抓sidelobes的index? targetIdx = (serMean-target_value).abs().nsmallest(n).index.tolist() ;Series切片: .loc[標籤名1:標籤名2] (會含標籤名2) ; .iloc[位置1:位置2] (不含位置2)")
![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]) - 儲蓄保險王](https://savingking.com.tw/wp-content/uploads/2022/11/20221110122900_3-520x245.png)
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