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Reading tab delimited txt file using Python pandas

I am trying to read in a tab delimited file into pandas. The file is formatted as follows: ABCDEFGHIJKL NMEA_1,14,XYZ,456 00:20:00.0,20,1 ABCDEFGHIJKL NMEA_1,14,XYZ,567 00:20:00.0,20,2

I'm having some trouble as to how to read in this. I've started off with the following code to read in the file. with open('/home/russell/Desktop/to/csv/test.csv', 'r', encoding='utf-8') as data_file: data = pd.read_csv(data_file, sep='\t', header=None, engine='c', skiprows=1)

But I don't want the first row to be included (because it is blank and I'm not sure how to remove it with the function sep='\t' How can I fix it so that the file reads in just the rest of the columns?

Don't use the engine parameter; just use df.read_csv() directly. The sep parameter is replaced with the comma as the delimiter. Pandas doesn't need to know what it's reading in, so there's no need to mention the engine at all. The skiprows parameter also doesn't do anything. 7582aa13b2 Serial Number : GDS971640132320192 ;. [FSX P3D] Aerosoft - Split LDSP V1.43Persistent tracheitis: the diagnosis and complications. Persistent tracheitis is a clinical syndrome characterized by recurrent or persistent bronchospasm and stricture formation. The treatment of this condition has been simple, consisting of bronchodilators and corticosteroids. However, treatment failures have been reported in a limited number of patients, and severe complications have also been noted, including acute laryngotracheal obstruction. We reviewed the problems encountered by the endoscopist in making the diagnosis and the problems caused by bronchoscopically directed dilatation. The treatment of choice in these patients is tracheal resection and anastomosis with primary closure. We review six cases and discuss appropriate therapy.?

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