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yfournier created page: home
authored
Jan 13, 2017
by
Yori Fournier
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@@ -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
o
the
r
plot
, or alone
.
`
myplotlib
`
allows you to design a plot, that consist
of
a
single file
.
It can
the
n
plot
ted alone or combined with any other plot
.
This plot contains it own data processing
an
d
c
an
be
used for any data you provide.
This plot contains it own data processing
metho
d an
d
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
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