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myplotlib |
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**Motivation**
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As a scientist you need to produce plots.
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The question is how to plot?
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You usually face large data sets
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That you want to process in different manner
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and plot one aspect of it.
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You also may want to compair a single aspect
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of different data set, or different aspect of
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a single data set.
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And you may want to do in a fast and interactive
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manner, but most of it, you want to control what
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you do and be sure of what you plot.
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Finally, after spending time on a single plot
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you want to be able to use it for various data sets,
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make it pretty, and be able to keep track of your
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plots, reusing them and having a consistency between
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version of the plot. Processing large dataset with
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the same ploting procedure. And also you don't want
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to rethink tomuch when you come back after a week or
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two how you did that plot.
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These are the basic reason of myplotlib.
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myplotlib allows you to design a plot, that consist
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of only one single file that can be combined with any
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other plot, or alone.
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This plot contains it own data processing and can be
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used for any data you provide.
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It can be called interactively for comparing, and reads
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only one the large raw data set. In case the raw data
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processing is long you can also prevent extra computation.
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After comparing the data, you may also want to roduce a
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large amount of files, that plot the same things for
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various datasets. The script mode is designed for that.
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You can use myplotlib from command line and give it
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arguments.
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In case you are fine with a plot, but after some time
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your recognise that some change are required, because
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your plot is in a unique file indpendntly how many time
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you use it in various configurations, any changes will
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be spread, allowing fast and consistent corrections.
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to summarize myplotlib can:
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- interactive mode
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- script mode
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- consistent corrections
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- versatile dataset
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- full user control on IOs and data processing
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making it fast and safe |
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