gnuplot-manager 0.1.8
A manager to symplify the use of gnuplot inside python
Requires Python: >=3

###############################
*gnuplot_manager* DOCUMENTATION
###############################

.. contents::

Introduction
============

This package allows to plot data or mathematical expressions inside Python,
using the gnuplot program, in the form of 2D or 3D plots.

Multiple plot windows can be opened, and a separate gnuplot process 
is started for each of them.  The data to be plotted can be transferred
to gnuplot by writing them on files, or can be sent to gnuplot inline.
Mathematical expressions are sent directly to gnuplot as strings.
All the package functionalities can be accessed by calling functions,
the list of which is reported in the `List of available functions`_
section at the end of this document.

The package has been designed starting from my own needs, so only a
limited number of the many gnuplot functionalities have been
implemented, but more may be added in the future:

- plotting 2D or 3D graphs from data
- plotting mathematical expressions in 2D or 3D

The most commonly used plot settings, such as applying logarithmic scales
or setting scale limits, can be applied by passing arguments to the functions,
without knowing the specific gnuplot commands.  However, it is also possible
to pass arbitrary commands to gnuplot, as described in the section
`Sending arbitrary commands to gnuplot`_.

The examples given in this document can be executed by copying the expressions
after *'>>>'* and pasting them in the python console command line. Note that,
although they have been tested, errors are still possible.
    
This package is released under a GPL licence, in the hope it can be
useful to someone else. Feeback, bug reports, and suggestions are welcome.



Installing and importing the package
====================================

How to install in the global Python environment
-----------------------------------------------

*gnuplot_manager* is distribuited as a *Python wheel* so, if you have the program *pip* installed on your system
and your Linux distribution allows it, you can simply type at the console::

$ pip install gnuplot_manager

in this way the Python interpreter will be able to use the package regardless of the directory from where it is invoked.

.. note::  In some Linux distributions (e.g. Debian-related ones) the operative system doesn't allow *pip* to install software
           in the main file hierarchy and you will get an error message saying "externally managed environment" or something similar.
           In this situation, you can install the package in a local directory, as described in the
           `How to install in a local directory`_ section, or inside a *Python virtual environment*.
           You can find instructions on how to create a virtual environment
           `in this page <https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments>`_
           of the Python documentation.


How to install in a local directory
-----------------------------------

You can install *gnuplot_manager* in any directory of your filesystem by dowloading the most recent zip archive from the  
`GitHub page <https://github.com/pietromandracci/gnuplot_manager/releases>`_ and unzipping it in a directory of your choice.

A new directory will be created, named *gnuplot_manager-x.y.z*, where *x.y.z* identifies the version number.
In order to use *gnuplot_manager* you will have to call the Python interpreter from this directory, so that it will be able to find the
package files.

You can also use the package calling the Python interpreter from another directory,
but you have to create in that directory a symbolic link to the directory named *gnuplot_manager*,
which is inside the *gnuplot_manager-x.y.z* directory created by the unzip process.


Running a demo
--------------

If the package has been correctly installed, a small demo script can be run from the system terminal by typing::

   $ python3 -m gnuplot_manager.demo

   or inside the python console by typing::

   >>> from gnuplot_manager.demo import main
   >>> main()

The demo will run without the need of any input.  


How to import in a Python module
--------------------------------

To import *gnuplot_manager* in a module or script you can use the *import* directive as usual:

>>> import gnuplot_manager

or 

>>> import gnuplot_manager as gm

or also

>>> from gnuplot_manager import *

.. note:: If you are using this module together with matplotlib, e.g. during an
   ipython session opened with the *--pylab* option, it is recommended that you import
   *gnuplot_manager* in its own namespace (using one of the two first methods
   listed above) to prevent any conflict with matplotlib functions and variable
   names. Efforts have been made to avoid the use of names that could
   override matplotlib ones (such as *plot()*), but something may have been forgotten,
   and future versions of matplolib could use names that conflict with this package.
   If you import the package in its own namespace, you are sure to avoid any conflict.

.. note:: In the following, all the examples are written presuming that the package
   and numpy have been imported in their own namespaces as follows:

   >>> import numpy
   >>> import gnuplot_manager as gm

   numpy is used in the examples to generate some data to be plotted, but the
   *gnuplot_manager* package does not rely on it, and the plot functions can
   handle lists, tuples, or other types of data.

Checking gnuplot installation at the module import
--------------------------------------------------

When the module is imported, it checks the availability of the gnuplot program
and sets the global variable *gnuplot_installed* accordingly.
This is achieved by means of a call to the program *which*, that should be
installed in nearly all Linux distributions. However, if it is not installed
on your system, the *gnuplot_installed* variable is set to *None*:

*gnuplot_installed=True*
  gnuplot is installed
  
*gnuplot_installed=False*
  gnuplot is not installed
  
*gnuplot_installed=None*
  *which* was not found, so the installation of gnuplot was not checked

Example:

>>> print(gm.gnuplot_installed)
True
     


Package structure
=================

This package contains the following modules:

*global_variables.py*
    contains the global variables, mainly used to define default values of 
    some parameters;
    
*errors.py*
    contains error messages returned by the package functions;
    
*classes.py*
    contains the *_PlotWindow* class, used to create a structure containing the
    gnuplot process (instance of *subprocess.Popen*) and some information on
    the plot;

*functions.py*
    contains all the functions used to create plot windows and plot 
    data or mathematical expressions on them;

*funcutils.py*
    contains some utility functions which are not intended to be called
    directly by the user;

*demo.py*
    a small demo script;

*test.py*
    a script to test most of the package functions.
    

Creating a new plot window
==========================

The *new_plot()* function
-------------------------

To open a new plot window, use the *new_plot()* function

>>> myplot2d = gm.new_plot(plot_type='2D', title='My 2D Plot')

The function returns an instance of the *_PlotWindow* class. Note that
the plot window does not appear on the screen until you plot
something on it. 

You can specify 2 types of plot: '2D' and '3D', with '2D' as default.
If you give a title to the window, passing the *title* argument
to the *new_plot()* function, it will be  shown on the window, when
something will be plotted on it.  All the arguments are optional:
if the function is called without passing any argument, it returns
a '2D' plot without a title.

.. note:: In the following, the options of the *new_plot()* function
   are explained: if you want to learn immediately how to plot something,
   jump to the `Plotting from data`_ or `Plotting mathematical functions`_
   sections.

Errors during window creation
-----------------------------

If invalid or inconsisted arguments are given to the *new_plot()* function,
a plot window is created using default values, and a tuple with a number
and an error message is stored in the *error* attribute of the *_PlotWindow*
instance. Examples:

>>> myplot = gm.new_plot(plot_type='4D')
>>> print(myplot.error)
(14, 'unknown plot type "4D", using default "2D"')
   

Persistence
-----------

If you give the *persistence=True* argument when opening a new plot, 
the window will remain visible after the gnuplot process has been terminated, 
as described in the `Closing plot windows`_ section.
However, some operations, such as zooming and rescaling, may 
not be possible after the gnuplot process has been shut down.

>>> myplot = gm.new_plot(title='Persistent plot', persistence=True)

The default behavior is stored in the *PERSISTENCE* global variable:

>>> print(gm.PERSISTENCE)
False


Gnuplot output management
-------------------------

When you open a new plot window, you can specify how you like to treat 
the output of the associated gnuplot process, passing the 
*redirect_output* argument to the *new_plot()* function:

*redirect_output = False* 
    gnuplot output and errors are sent to */dev/stdout* and */dev/stderr*
    respectively, as it would happen when calling the program from the terminal.
    This can be useful when using gnuplot from the console, to get the output
    immediately;
*redirect_output = True* 
    the output is saved to files, which are stored in the directories
    *gnuplot.out/output/* and *gnuplot.out/errors/*;
*redirect_output = None* 
    the output is suppressed, sending it to */dev/null*.

You can specify a different behavior for each window you open:

>>> myplot1 = gm.new_plot(title='Output suppressed', redirect_output=None)
>>> myplot2 = gm.new_plot(title='Output saved on files', redirect_output=True)
>>> myplot3 = gm.new_plot(title='Output shown on console', redirect_output=False)

The default behavior is stored in the *REDIRECT_OUT* global variable:

>>> print(gm.REDIRECT_OUT)
False

.. note:: By default, gnuplot directs to */dev/stderr* the output
   of some of its commands, such as *print*, not only errors. 
   As an example, if you press the *h* key when the mouse pointer
   is inside a gnuplot window, gnuplot prints a list of the available commands.
   However, if the *redirect_output=True* has been specified, the menu appears
   on the file on which the */dev/stderr* (and not */dev/stdout*, as one would expect)
   has been redirected.  This depends on the gnuplot behavior and is not due to an
   erroneous redirection of the devices to the files.


Purging data files
------------------

By default, the old datafiles are removed each time new data or functions are plotted
on the plot window, unless the *replot=True* option is given [#replot]_.
If you want to change this behavior, preserving the data files,
you can pass the *purge=False* argument to the *new_plot()* function.

.. [#replot] a description of the *replot* argument is given in the
   `Adding more curves to a plot`_ section.
   

Other plot window properties
----------------------------

While opening the plot window, you can specify several other properties,
such as: type of terminal, window dimensions, position on the screen,
axis limits, labels, and so on.

Read the docstring of the *new_plot()* function for a list of all
the available options (press *q* to exit from the help page):

>>> help(gm.new_plot)

Default window properties
-------------------------

The default values used by the *new_plot()* function for terminal type, 
window dimensions and window position on the screen are *not*
the default ones used by newplot. They are stored in the following global variables:

- *DEFAULT_TERM*
- *DEFAULT_WIDTH*
- *DEFAULT_HEIGHT*
- *DEFAULT_XPOS*
- *DEFAULT_YPOS*

the first one is a string (e.g. 'x11'), while the other ones are numbers
expressing the window position and size in pixels.

If you want to open a plot window using gnuplot defaults, you can pass the 
*gnuplot_default* argument:

>>> myplot = gm.new_plot(gnuplot_default=True, title='Using gnuplot defaults')

.. note:: If you have tried some of the examples described up to now, you have
   opened several *_PlotWindow* instances, none of which has opened a window
   on the screen, since there is nothing plotted yet. You can  close all the
   open plot windows,  terminating the associated gnuplot terminals, using the
   *plot_close_all()* function, described in the `Closing plot windows`_  section:
     
   >>> gm.plot_close_all()
   (0, 'Ok')
   

Plotting from data
==================

Plotting 2D curves from data
----------------------------

Before plotting 2D data, a 2D plot window must be opened first, as was described
in the `Creating a new plot window`_ section:

>>> myplot2d = gm.new_plot(plot_type='2D', title='My 2D Plot')

To plot 2D data, use the *plot2d()* function, passing the *_PlotWindow* 
instance as first argument. The second and third arguments must be 
unidimensional data structures, such as numpy arrays, lists or tuples [#numbers]_,
having equal sizes, containing the x-values and y-values of the points to plot.
As an example, if the second and third argument are two arrays *x* and *y*:

- the first point to plot has coordinates (*x[0]*, *y[0]*)
- the second point has coordinates (*x[1]*, *y[1]*)
- and so on...

.. [#numbers] even single numbers, if you want to plot a single point.

The third argument (optional) is a string to be used as label in the 
plot legend.  Example:

>>> x = numpy.linspace(0,100,1001)
>>> y = x * x
>>> gm.plot2d(myplot2d, x, y, label='y=x^2')
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/parabola-1.png
           
a gnuplot window should appear on the screen, and a parabola should be
plotted on it. The *plot2d()* function returns a tuple containing a
number and a string: if there are no errors, the number is zero and
the string is *'Ok'*, otherwise a number greater than zero and a string
describing the error are returned.

The list of all the error messages is contained in the *error.py* module:

>>> help(gm.errors)

Plotting 1D data
----------------

It is also possible to give to gnuplot a single set of data, usually if you
want to give y-values and let gnuplot automatically create the x-values,
by means of the *plot_1d()* function. The function works for 2D plot windows
only. Example:

>>> y = numpy.linspace(0,100,101)
>>> gm.plot1d(myplot2d, y, label='1D data')
(0,'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot1d.png

           
In the previous example gnuplot has used the ordinal numbers 1-100 as x-values
for the points of the plot.


Plotting histograms
-------------------

The *plot2d()* function can be used to plot histograms also. 
If the plot was opened passing the argument *style='histeps'*,
the data are plotted as an histogram, where each x-value is
interpreted as the center value of the bin, and each y-value
as the associated frequency. Example:

>>> myhistogram = gm.new_plot(style='histeps', title='My Histogram')
>>> bins = [1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> freq = [1, 1, 4, 7, 8, 6, 3, 1, 0]
>>> gm.plot2d(myhistogram, bins, freq, label='My frequency data')
(0,'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/histogram-1.png

an histogram should be plotted. Note that, in this case, we have put
the *x* and *y* values in lists, instead of numpy arrays, but we could
have put them in tuples also, obtaining the same effect.

You can set the 'histeps' style on an already opened 2D plot
window  also, using the *plot_set()* function described in the
`Changing the window properties`_ section.


Plotting boxplots
-----------------

The function *plot_box()* allows to plot a boxplot from a set of data.
Example: 

>>> data = numpy.random.normal(3,20,50)
>>> gm.plot_box(myplot2d, data, width=100, label='My boxplot')
(0,'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/boxplot.png


Plotting 3D data
----------------

To plot 3D data, the plot window must be opened with the option
*plot_type = '3D'*, as described in the `Creating a new plot window`_
section:

>>> myplot3d = gm.new_plot(plot_type='3D', title='3D Plot')

then, the *plot3d()* function can be used to plot data on the window,
passing the *_PlotWindow* instance as first argument, and the x, y and
z values of the points to plot as the following arguments.

The x, y and z values to be plotted must be stored in 
unidimensional data structures of equal sizes, and contain the x, y,
and z coordinates of each point to plot. As an example, if you pass
the three arrays *x*, *y* and *z*: 

- the first point to plot has coordinates (*x[0]*, *y[0]*, *z[0]*)
- the second point has coordinates (*x[1]*, *y[1]*, *z[1]*)
- and so on...

Example of 3D curve plot:

>>> x = numpy.linspace(0,100,1001)
>>> y = numpy.linspace(0,200,1001)
>>> z = x * y
>>> gm.plot3d(myplot3d, x, y, z, label='3D curve')
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/3Dplot-1.png

a 3D plot with a curve is plotted. If you click with the mouse on the window and move the pointer,
you can rotate the axes, changing the point of view (this is made by gnuplot, not by this package).

In the previous example, a curve in 3D is plotted, not a surface, since only a single *y* value is given
for each *x* value. To plot a surface, you must provide a set of *y* values for each *x* value, to form
a grid of values on the *x-y* plane. Example of the points needed to plot a *z=x+y* surface on a grid
of 4 x 4 points::
   
(x=0, y=0, z=0) (x=0, y=1, z=1) (x=0, y=2, z=2) (x=0, y=3, z=3)
(x=1, y=0, z=1) (x=1, y=1, z=2) (x=1, y=2, z=3) (x=1, y=3, z=4)
(x=2, y=0, z=2) (x=2, y=1, z=3) (x=2, y=2, z=4) (x=2, y=3, z=5)
(x=3, y=0, z=3) (x=3, y=1, z=4) (x=3, y=2, z=5) (x=3, y=3, z=6)

So the data to give to the *plot3d()* functions are:

>>> x = numpy.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3])
>>> y = numpy.array([0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3])
>>> z = x + y
>>> gm.plot3d(myplot3d, x, y, z, label='z = x  + y')
(0, 'Ok')

A grid of crosses should be plotted, which are points of the *z = x + y* surface:

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/3Dplot-2.png

Adding more curves to a plot
----------------------------

To add new data on the same plot, you must pass the *replot=True* argument:

>>> x1 = numpy.linspace(0,100,1001)
>>> y1 = x1 * x1
>>> gm.plot2d(myplot2d, x1, y1, label='My first 2D data')
(0, 'Ok')
>>> x2 = numpy.linspace(0,100,2001)
>>> y2 = x2 * x2 * x2 / 100
>>> gm.plot2d(myplot2d, x2, y2, label='My second 2D data', replot=True)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot2d-replot.png

However, if you want to plot multiple curves on the same plot,
it is more efficient to use the *plot_curves()* function described
in the next section.


Plotting several curves at the same time
----------------------------------------

The function *plot_curves()* allows to plot several curves at one time,
which is faster than plotting them one at a time using the *replot* option,
since gnuplot is called only once. Moreover, it lets you add a string with
arbitrary options to give to gnuplot.

Data to be plotted must be recorded in a list, each element of which
is itself a list, made of 4 elements for 2D plots, or 5 elements for 3D ones.

For 2D plots, each list element has the form *[x, y, label, options]*, while for 3D
plots it has the form *[x, y, z, label, options]*, where:

- *x* is the array of x coordinates of the points to plot:
  for 2d plot windows it can also be set to *None*,
  in which case the x-values for that curve are automatically created by gnuplot;
- *y* is the array of y coordinates of the points to plot;
- *z* is the array of z coordinates of the points to plot (only for 3D plots);
- *label* is a string with the label to show in the plot legend,
  or *None* if you do not want a label to be set
- *options* is a string with additional options you want to give to gnuplot, [#options]_
  or *None* if you do not want to give them

.. [#options] note that no check is made that the string contains valid gnuplot options.

Examples:

>>> x1 = numpy.linspace(0, 100, 101)
>>> y1 = 2 * x1
>>> z1 = x1 * y1
>>> x2 = numpy.linspace(0, 100, 201)
>>> y2 = 3 * x2
>>> z2 = x2 * y2 / 10
>>> list2d = [ [x1, y1, 'my first data 2D', None], [x2, y2, 'my second data 2D', 'with lines'] ]
>>> list3d = [ [x1, y1, z1, 'my first data 3D', None], [x2, y2, z2, 'my second data 3D', 'with linespoints'] ]

The first argument passed to *plot_curves()* must be the plot on which 
you want to operate, while the second is the list:

>>> gm.plot_curves(myplot2d, list2d)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_curves-1.png

>>> gm.plot_curves(myplot3d, list3d)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_curves-2.png

You can also use the function *plot_curves()* to plot a single curve,
which allows to give additional options to gnuplot, but then the list
must have a single element, which is itself a list of 4 or 5 elements, 
so do not forget to put *double square brackets*:

>>> x1 = numpy.linspace(0,100,101)
>>> y1 = x1 * x1
>>> gm.plot_curves(myplot2d, [ [ x1, y1, 'only one curve', 'with linespoints'] ])
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_curves-3.png

You can specify the *replot=True* option in the *plot_curves()* function also,  
if you want to add the new curves to the previously plotted ones.
Example:

>>> x1 = numpy.linspace(0,3.14, 101)
>>> y1 = numpy.sin(x1)
>>> x2 = numpy.linspace(0,3.14, 51)
>>> y2 = numpy.cos(x2)
>>> list2da = [ [x1, y1, 'my first data 2D', None], [x2, y2, 'my second data 2D', None] ]
>>> list2db = [ [x1, 2*y1, 'my third data 2D', None], [x2, 2*y2, 'my fourth data 2D', None] ]
>>> gm.plot_curves(myplot2d, list2da)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_curves-4.png

>>> gm.plot_curves(myplot2d, list2db, replot=True)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_curves-5.png

Data files
----------

The data to be plotted are written on files, which are saved
in the *gnuplot.out/data/* directory,
which is created in the current working directory.
The name of a data file has the following form:

*gnuplot_data_w<n>(<window-title>)_<type>_c<m>(<curve-label>).csv*

- *<n>* is the window number
- *<window-title>* is the string given to
  the *new_plot()* function as window title
- *<type>* is '1D', '2D' or '3D',
  where '1D' means that the x-values have been omitted
- *<m>* is the curve number
- *<curve-label>* is the string given to
  the plot function as label

If the window title and/or the curve label have not been given,
the filename will miss one or both the parts beween parentheses.

Note that, when composing filenames, characters listed in the 
*INVALID_CHARS* global variable are removed from the window titles 
and curve labels, and substituted with the char stored in the 
*SUBSTITUTE_CHAR* variable (which is *"_"*, unless you change it).


Plotting volatile data
----------------------

It is also possibile to pass data to gnuplot without writing them to
disk.  This can be achieved by passing the *volatile=True* argument
to any of the plot functions described in this section.  In this case
a data file is not created, instead the data are passed to gnuplot
as a string, together with the plotting commands, using the special
filename *'-'*. 

Note that plotting data in this way has some limitations: if there are
curves plotted from volatile data it is *not* possible to plot other
curves or functions on the same plot window using the *replot* option.
So if you want to mix on the same plot window volatile curves (i.e.
curves plotted using the *volatile* argument) together with non volatile
ones or functions, you must plot the volatile curves as the *last* plot
instruction.  Example:

>>> x = numpy.linspace(0,100,101)
>>> y = x * x
>>> z = y * x / 100
>>> gm.plot_function(myplot2d, 'x**2','function')
>>> gm.plot2d(myplot2d, x, y, label='non volatile data', replot=True)
>>> gm.plot2d(myplot2d, x, z, label='volatile data', volatile=True, replot=True)

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/volatile.png

Note that if there are volatile data are plotted on a plot window, gnuplot
does not allow to toggle logarithmic scales on it.


Plotting mathematical functions
===============================

Plotting a mathematical expression
----------------------------------

If you have not opened a 2D plot window yet (e.g. because you have jumped
to this section from the index), you should do it now, using the *new_plot()*
function described in the `Creating a new plot window`_ section:

>>> myplot2d = gm.new_plot(plot_type='2D', title='My 2D Plot')

The function *plot_function()* allows to pass to gnuplot a string, representing
a mathematical function [#function_string]_:

>>> gm.plot_function(myplot2d, 'sin(x)', label='sin(x)')
(0, 'Ok')

.. [#function_string] No check is made that the string represents a valid
   mathematical expression. If it is not, gnuplot will print an error message
   on the console or on the file on which you have redirected */dev/stderr*
   (unless you have chosen to send it to */dev/null*).

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_function-1.png

To plot a 3D function, you must open a 3D plot window, if you don't have done
it yet:

>>> myplot3d = gm.new_plot(plot_type='3D', title='My 3D Plot')

>>> gm.plot_function(myplot3d, 'sin(x)*cos(y)', label='sin(x)*cos(y)')
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_function-2.png

If the *label* argument is not given or is set to *None*, gnuplot will automatically
use the function string as a label for the plot legend. If you don't want any label to be shown,
pass the argument *label=""* (empty string).


   
Adding a mathematical expression
--------------------------------

By default, *plot_function()* removes anything
that was previously plotted on the window. 
You can use the *replot=True* option to plot the function
on top of what was plotted before

>>> gm.plot_function(myplot2d, 'x*x', label='y=x^2')
(0, 'Ok')
>>> gm.plot_function(myplot2d, '2*x*x', label='y=2x^2', replot=True)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_functions-1.png

Plotting several mathematical expressions
-----------------------------------------

The function *plot_functions()* allows to plot an arbitrary number of
mathematical expression in a single plot operation, and allows to give a string
with additional gnuplot options for each of them. 

The expression to be plotted must be recorded in a list, each element of which
is itself a list of 3 strings:

- the first one is the math expression;
- the second is the label to be shown on the plot legend;
- the third contains additional options you want to give to gnuplot, [#options2]_
  or *None* if you do not want to give them.

.. [#options2] note that no check is made that the string contains valid gnuplot options.  

>>> list2d = [ ['x*x', 'y=x^2', 'with lines'],  ['2*x*x', 'y=2x^2','with points'] ]
>>> gm.plot_functions(myplot2d, list2d)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_functions-2.png

>>> list3d = [ ['sin(x)*cos(y)', 'z=sin(x)cos(y)', None], ['2*sin(x)*cos(y)', 'z=2sin(x)cos(y)', None] ]
>>> gm.plot_functions(myplot3d, list3d)
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_functions-3.png

If you don't want to set labels manually, put *None* in their place and gnuplot
will automatically create them, or put "" (empty string) and no label will be shown.

You can pass the *replot=True* argument to plot functions without 
deleting anything was plotted before.

A single math expression can be plotted also, with the possibility to give additional
options to gnuplot (remember double square brackets):

>>> gm.plot_functions(myplot2d, [ ['x*x', 'y=x^2', 'with linespoints'] ])
(0, 'Ok')

.. image:: https://raw.githubusercontent.com/pietromandracci/gnuplot_manager/master/images/plot_functions-4.png
           

Checking window properties
==========================

Printing information on a plot window 
--------------------------------------

The *plot_check()* function prints information about the plot window
given as argument: 

>>> myplot = gm.new_plot(plot_type='2D', title='2D plot')
>>> x = numpy.linspace(0,100,101)
>>> y = x * x
>>> z = y * x / 100
>>> gm.plot2d(myplot, x, y, label='y=x^2')
(0, 'Ok')
>>> gm.plot_function(myplot, 'x**2', replot=True)
(0, 'Ok')
>>> gm.plot2d(myplot, x, z, label='y=x^3/100', volatile=True, replot=True)
(0, 'Ok')
>>> gm.plot_check(myplot)
Window index:         0
Window number:        0
Terminal type:        "x11"
Persistence:          "False"
Purge:                "True"
Window type:          "2D"
Window title:         "2D plot"
Number of functions:  1
Number of curves:     1
Number of volatiles:  1
X-axis range:         [None,None]
Y-axis range:         [None,None]
(0, 'Ok')

If the *expanded=True* argument is given, it prints more information,
including the PID of the gnuplot process and the names of the
datafiles:

>>> gm.plot_check(myplot, expanded=True)
Window index:         0
Window number:        0
Terminal type:        "x11"
Persistence:          "False"
Purge:                "True"
Window type:          "2D"
Window title:         "2D plot"
Number of functions:  1
Number of curves:     1
Number of volatiles:  1
X-axis range:         [None,None]
Y-axis range:         [None,None]
Gnuplot process PID:  58937
Gnuplot output file:  "/dev/stdout"
Gnuplot errors file:  "/dev/stderr"
Functions
#  0: "x**2"
Curves
#  0: "gnuplot.out/data/gnuplot_data_w0_2D(2D plot)_c0(y=x^2).csv"
(0,'Ok')     

.. note:: *Window index* is the index of the plot window inside the global
   variable *window_list*, while *Window number* is a unique number attributed
   to the plot window when it is created, which is used mainly to generate
   unique names for the data files. The former may change [#window_index]_,
   while the latter is fixed for the plot window life.

.. [#window_index] As an example, if the first window in *window_list* is closed,
   being removed from the list and causing a shift of the indexes.


The function takes two more arguments:

*printout* (default is *True*): 
    if set to *True*, the output is printed on */dev/stdout/* 
*getstring* (default is *False*): 
    if set to *True*, a string with the output is returned. 
    This can be useful to write the output to a file or inside a GUI window.            


Printing information on all plot windows
----------------------------------------

The *plot_list()* function prints the same information given by the
*plot_check()* function, for all the open windows. 



Closing plot windows
====================

Closing a single plot window
----------------------------

When you do not need a plot window anymore, you can close it by means of
the *plot_close()* function, which performs the following actions:

- terminates the gnuplot process associated to the *_PlotWindow* instance
  given as argument, by sending the *quit* gnuplot command to it;
- sets the *plot_type* attribute of the *_PlotWindow* instance  to *None*;
- removes the *_PlotWindow* instance from the *window_list* global variable.

.. note:: Closing the window on the screen by clicking on its 
   close button, *does not* close the gnuplot terminal and 
   *does not* remove the *_PlotWindow* instance from the list.

The name given to the *_PlotWindow* instance (e.g. *myplot*) is not removed
from the namespace. However, if you try to pass it to any function of the package,
an error message is returned:

>>> gm.plot_close(myplot2d)
(0. 'Ok')
>>> gm.plot_function(myplot2d, 'x**2')
(11, 'trying to operate on a closed plot window')


Effects of removing plot window names
-------------------------------------

Note that if you create a plot window with a name (e.g. *myplot*) and then
a second one with the same name, the first one is still in memory
(and the associated gnuplot process is still active), but is not
linked to that name (*myplot*) anymore. Example::

    >>> myplot = gm.new_plot()
    >>> myplot = gm.new_plot(plot_type='3D')
    >>> gm.plot_list()
    Window index:         0
    Window number:        0
    Terminal type:        "x11"
    Persistence:          "False"
    Purge:                "True"
    Window type:          "2D"
    Window title:         "None"
    Number of functions:  0
    Number of curves:     0
    Number of volatiles:  0
    X-axis range:         [None,None]
    Y-axis range:         [None,None]

    Window index:         1
    Window number:        1
    Terminal type:        "x11"
    Persistence:          "False"
    Purge:                "True"
    Window type:          "3D"
    Window title:         "None"
    Number of functions:  0
    Number of curves:     0
    Number of volatiles:  0
    X-axis range:         [None,None]
    Y-axis range:         [None,None]
    Z-axis range:         [None,None]
    (0, 'Ok')

Here we have used the *plot_list()* function, which is described in the
`Checking window properties`_ section, to list all the open windows.
Now we have two plot windows, one 2D and one 3D, but only the second one
is linked to the name *myplot*, while the first one is not linked anymore
to any name. However, the first window is still present in the *window_list*
global variable, so it is shown in the list of windows.

Similarly, if you remove the plot window name from the namespace (e.g. by the
*del* command) without having called the *plot_close()* function before,
the associated *_PlotWindow* instance and its gnuplot process are *not* closed,
and are still present in the *window_list* variable. Example::

    >>> myplot = gm.new_plot()
    >>> gm.plot_check(myplot)
    Window index:         0
    Window number:        0
    Terminal type:        "x11"
    Persistence:          "False"
    Purge:                "True"
    Window type:          "2D"
    Window title:         "None"
    Number of functions:  0
    Number of curves:     0
    Number of volatiles:  0
    X-axis range:         [None,None]
    Y-axis range:         [None,None]
    (0, 'Ok') 

    >>> del myplot
    >>> gm.plot_check(myplot)
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    NameError: name 'myplot' is not defined

    >>> gm.plot_list()
    Window index:         0
    Window number:        0
    Terminal type:        "x11"
    Persistence:          "False"
    Purge:                "True"
    Window type:          "2D"
    Window title:         "None"
    Number of functions:  0
    Number of curves:     0
    Number of volatiles:  0
    X-axis range:         [None,None]
    Y-axis range:         [None,None]
    (0, 'Ok') 

After deleting the *myplot* name, it is not possible to check the plot window
by  *plot_check(myplot)*, because the window is not anymore linked to that name.
However, we can still check the plot window using the *plot_list()* function,
since it relies on the content of the *window_list* global variable, which was
not altered by the *del* command.
It is also still possible to reference the window as *window_list[index]*, where
*index* is the window index given in the output of the *plot_list()* function.

You could also create a plot window (i.e. a *_PlotWindow* instance) without giving
a name to it:

>>> x = linspace(0,100,101)
>>> gm.plot1d(gm.new_plot(),x)

in this way, the plot window is created and passed directly as argument to
the plot function (*plot1d()* in this example) without giving a name to it.
Also in this case, the newly created plot window will appear in  the output
of the *plot_list()* function.
    
The *plot_close_all()* function, described in the
`Closing all the open windows at once`_ paragraph, closes all the plot windows
(and terminates their associated gnuplot processes), including the ones 
which are not linked to any name.


Deleting the output files
-------------------------

When a plot window is closed, the data files associated to the curves
are deleted or not, depending on the value of its *purge* attribute,
which was set when the plot window was opened according to the value
of the *purge* argument passed to the *new_plot()* function.
Examples:

>>> myplot = gm.new_plot(purge=True)

the datafiles will be deleted each time new data is plotted (without giving
the *replot=True* argument) and when the window is closed;

>>> myplot = gm.new_plot(purge=False)

the datafiles will *not* be deleted each time new data is plotted and
*not* be deleted when the window is closed.


The default behavior is stored in the *PURGE_DATA* global variable:

>>> print(gm.PURGE_DATA)
True

If the plot was opened passing the *redirect_output=True* argument,  
the files on which the gnuplot output and errors have been redirected
are deleted or not in the same way. If you want to preserve them,
when the the window has the *purge* option active, you can pass the
*keep_output=True* argument to the *plot_close()* function.


The optional *delay* parameter specifies a time (in seconds) to wait before
deleting the data files, after the *quit* command has been sent to gnuplot.
This can be useful in some circumstances, for example if you want to create
a persistent window, plot something complex on it, and then close the gnuplot
process leaving only the window open:

>>> myplot = gm.new_plot(persistence=True, purge=True)
>>> x = numpy.linspace(0, 1000, 1000000)
>>> y = x * x
>>> gm.plot2d(myplot, x, y)
(0, 'Ok')
>>> gm.plot_close(myplot, delay=1)
(0, 'Ok')

When the *plot_close()* function is called, it immediately sends the
*quit* command to gnuplot, but it is executed only when gnuplot
has completed the plot operation started by the *plot2d()* function.
If the datafiles were deleted immediately after sending the *quit* command,
they could be removed while the plot operation (plotting one million points) is still in progress.


Closing all the open windows at once
------------------------------------

The *plot_close_all()* function closes all the plot windows listed in the *window_list*
global variable, and empties it. It works calling the *plot_close()* function, so it gets
the same arguments.

>>> gm.plot_close_all()
(0, 'Ok')

By default, the function tries to delete the *gnuplot.out* directory, if it is empty.
If you don't want to delete it, you can pass the *purge_dir=False* argument.


Performing other actions
========================

Changing the window properties
------------------------------

You can change some properties of a plot window, such as logarithmic scale or
range of the axes, using the *plot_set()* function.
Example, to set logarithmic x axis:

>>> myplot = gm.new_plot(logx=False)
>>> gm.plot_set(myplot, logx=True)   # I have changed my mind...
(0, 'Ok')

By default, the new options are applied when a new curve or
function is plotted: if you want to apply them immediately, on
the already plotted items, pass the *replot=True* argument:

>>> x = numpy.linspace(1, 100, 100)
>>> y = numpy.exp(x)
>>> gm.plot2d(myplot, x, y)
(0, 'Ok')
>>> g