python - Integrating using scipy's trapz function -

I am currently trying to integrate a function that includes XY point pairs. Feel free to check once:

I am using Panda to read the file

  data_df = pd.read_csv ("example.csv", sep = " \ T If you look closely, the distance between constant x values ​​is the same, so I can write integral as the following:    P> 
 < Code> integral = integrate.trapz (data_df.values.transpose ()) * data_df.index [1]   
 where  is integrated  is narrow and the  data_ df .index is imported from [1] [1]  refers to the interval low cost Is refunded: 189274.48501691  
 If I integrate in the following manner:  
  integrate.trapz (data_df.values.transpose (), x = data_df.index)   
 A completely different value has returned (5.846689e + 08). Any ideas why this is the case?  
 Note that the first result is correct It is also returned by MATLAB's trapz function.   
 
 
 You  index  Examples:  
  Integrate options (data_df.values.transpose (), x = data_df.index.values) # [189274.48 501691408]   
 This also works if you have your  data_df.index  to  index  to  ndarray :  Integrate 
 . (Data_df.values.transpose (), x = data_df.index.view (pd.np.ndarray)) # [189274.48501691408]