On 29/06/18 13:18, Sergio Rojas wrote: > # read the whole file > with open(thefilename, 'r') as theFile: >>>> contentfile = theFile.read() > > # split the file in lines according to the newline character "\n" > templines = [] > for line in contentfile.splitlines(): >>>>> templines.append(line.strip()) > > #Following the pattern extract the data > thelines = [] > for line in templines:
You might as well just use readlines()... Or better still use for on the file itself: with open(thefilename, 'r') as theFile for line in theFile: .... >>>> if ':' in line: >>>>>>> temp = line.split(":") >>>>>>> for i in range(len(temp)): >>>>>>>>> try: >>>>>>>>>>>>> temp[i] = float(temp[i]) >>>>>>>>> except: >>>>>>>>>>>>> temp[i] = temp[i] def makeFloats(sep, line): temp = line/split(sep) for i,v in enumerate(temp) try: temp[i] = float(v) except ValueError,TypeError: pass return temp if ':' in line: line = makeFloats(':', line) if(',' in line: line = makeFloats(',', line) # into pandas next... Although I'm not totally sure that is what the OP wanted. What happens about the header lines for example? -- Alan G Author of the Learn to Program web site http://www.alan-g.me.uk/ http://www.amazon.com/author/alan_gauld Follow my photo-blog on Flickr at: http://www.flickr.com/photos/alangauldphotos _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor