@@ -0,0 +1,496 @@
+import pandas%0Aimport matplotlib.pyplot as plt%0Adata_exception = %5B43.0, 53.0%5D%0Anew_data = %5B%5D%0Asource_url = %22http://pastebin.com/raw.php?i=y16ecx3v%22%0A%0Adef getData(url):%0A    if url:%0A        return pandas.read_csv(url, header=None).values%0A    else:%0A        pass%0A%0Adef dataFilter(data):%0A    for d in data:%0A        if d not in data_exception:%0A            new_data.append(d)%0A    return new_data%0A%0A# next up%0A# bring the data to the visualization sequence%0A%0Aplt.plot(dataFilter(getData(source_url)))%0Aplt.show()%0A%0A

Create datacleaner.py