| ... | ... | @@ -58,33 +58,28 @@ you want to start from the same point as before | 
|  |  | from another point of view. | 
|  |  | >>> | 
|  |  |  | 
|  |  | # These are the basic features of `myplotlib` and much more. | 
|  |  | **These are the basic features of `myplotlib` and much more.** | 
|  |  |  | 
|  |  | myplotlib allows you to design a plot, that consist | 
|  |  | of only one single file that can be combined with any | 
|  |  | other plot, or alone. | 
|  |  | `myplotlib` allows you to design a plot, that consist | 
|  |  | of a single file. | 
|  |  | It can then plotted alone or combined with any other plot. | 
|  |  |  | 
|  |  | This plot contains it own data processing and can be | 
|  |  | used for any data you provide. | 
|  |  | This plot contains it own data processing method and | 
|  |  | can be used for any compatible raw data you provide. | 
|  |  |  | 
|  |  | It can be called interactively for comparing, and reads | 
|  |  | only one the large raw data set. In case the raw data | 
|  |  | processing is long you can also prevent extra computation. | 
|  |  | A plot can be called interactively from a python interpreter, | 
|  |  | or from the command line. | 
|  |  |  | 
|  |  | After comparing the data, you may also want to roduce a | 
|  |  | large amount of files, that plot the same things for | 
|  |  | various datasets. The script mode is designed for that. | 
|  |  | You can use myplotlib from command line and give it | 
|  |  | arguments. | 
|  |  | The same plot can be drawn on screen or directly in a file | 
|  |  | making sure that what you see is what you get. | 
|  |  |  | 
|  |  | In case you are fine with a plot, but after some time | 
|  |  | your recognise that some change are required, because | 
|  |  | your plot is in a unique file indpendntly how many time | 
|  |  | you use it in various configurations, any changes will | 
|  |  | be spread, allowing fast and consistent corrections. | 
|  |  | Producing files of the same aspect of large number of | 
|  |  | data sets is possible thanks to the scripting mode. | 
|  |  |  | 
|  |  | Because a plot is in a unique file, any changes will | 
|  |  | be spread, allowing fast and consistent corrections. | 
|  |  |  | 
|  |  | to summarize myplotlib can: | 
|  |  | to summarize `myplotlib` can: | 
|  |  |  | 
|  |  | - interactive mode | 
|  |  | - script mode | 
| ... | ... |  |