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yfournier created page: home
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Jan 11, 2017
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Yori Fournier
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myplotlib
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**Motivation**
As a scientist you need to produce plots.
The question is how to plot?
You usually face large data sets
That you want to process in different manner
and plot one aspect of it.
You also may want to compair a single aspect
of different data set, or different aspect of
a single data set.
And you may want to do in a fast and interactive
manner, but most of it, you want to control what
you do and be sure of what you plot.
Finally, after spending time on a single plot
you want to be able to use it for various data sets,
make it pretty, and be able to keep track of your
plots, reusing them and having a consistency between
version of the plot. Processing large dataset with
the same ploting procedure. And also you don't want
to rethink tomuch when you come back after a week or
two how you did that plot.
These are the basic reason of myplotlib.
myplotlib allows you to design a plot, that consist
of only one single file that can be combined with any
other plot, or alone.
This plot contains it own data processing and can be
used for any 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.
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.
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.
to summarize myplotlib can:
-
interactive mode
-
script mode
-
consistent corrections
-
versatile dataset
-
full user control on IOs and data processing
making it fast and safe
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