diff -r 29a21837f51c -r 7f983daf3383 readme.rst
--- a/readme.rst	Tue Oct 09 11:50:24 2012 +0200
+++ b/readme.rst	Tue Oct 09 11:51:56 2012 +0200
@@ -29,6 +29,7 @@
 ------------------
 
 Once you have made the above setup you can start using it. The best way to understand how it works is through an interactive shell (I suggest ipython(http://ipython.org/)).  In the following example I use the cf_raymetrics setup::
+   
    import glob # This is needed to read a list of filenames
    from lidar import cf_raymetrics #If you have saved the files in a directrory called “lidar”
 
@@ -48,20 +49,26 @@
    #Quicklooks of all the channels
    my_measurements.plot()
 
+
 Converting to SCC format
 --------------------------------
 
 There are some extra info you need to put in before converting to SCC format, 'Measurement_ID', 'Temperature', 'Pressure'::
+   
    my_measurement.info['Measurement_ID'] = “20101229op00”
    my_measurement.info['Temperature'] = “14”
    my_measurement.info['Pressure'] = “1010”
 
+
 You can use standard values of temperature and pressure by just calling::
+   
    my_measurement.get_PT() 
 
 The standard values can be changed in generic.py. Search the  get_PT method and change of what is appropriate for your station. If you have an external source of temperature and pressure information (a meteorological station) you can automate this by overriding the get_PT method in your system's class (in our example in the cf_raymetrics.py file).
 
+
 After you have used this extra input, you save the file using this command::
+   
    my_measurement.save_as_netcdf(“filename”)
 
 where you change the filename to the filename you want to use.