General and user interface functions

General and user interface functions#

Starting and calling the socket server#

A running socket server is critical for the use of XlCalcNet from Microsoft Excel.

../_images/SocketServer.png

The socket server can be startet in various ways:

Starting the socketserver from the TinyIDE or GalleryOfPlots application#

Explain use of menu.

Starting the socketserver from the Navigator dialog in Excel#

Explain use of dialog.

Starting the socketserver programmatically from Python#

gui.socketserver()#

Describe the start of the socket server

>>> from xlcalcnet import gui
>>> gui.socketserver()

Calling the socketserver from Python#

Describe calling the socketserver from Python

>>> import socket

>>> host = socket.gethostname()
>>> port = 11958  # socket server port number
>>> client_socket = socket.socket()  # instantiate
>>> client_socket.connect((host, port))  # connect to the server

>>> client_socket.send(SnippetToSend.encode())  # send message
>>> DataReceived = client_socket.recv(1024).decode()  # receive response
>>> print('Received from server: ' + DataReceived)  # show in terminal

>>> client_socket.close()  # close the connection

Calling the socketserver from C##

Describe calling the socketserver from C#

Source code#

The Python source code for the socketserver can be found here: duhadler/XlCalcNet

The C# source code for the socket client can be found here: duhadler/XlCalcNet

Starting the output monitor#

gui.outputmonitor()#

Describe the start of the output monitor

../_images/DataMo0nitor.png

The Python source code for starting the output monitor can be found here: duhadler/XlCalcNet

The C# source code for the output monitor can be found here: duhadler/XlCalcNet

>>> from xlcalcnet import gui
>>> gui.outputmonitor()

Starting an additional instance of the IDE#

gui.tinyide()#

Describe the start an additional instance of the IDE

../_images/TinyIDE.png

The Python source code for starting the IDE can be found here: duhadler/XlCalcNet

The C# source code for the IDE can be found here: duhadler/XlCalcNet

>>> from xlcalcnet import gui
>>> gui.tinyide(x)

Starting the interactive 3D wpf plots#

gui.plot3d()#

Describe the start of Interactive 3D Wpf plots

../_images/Wpf3D.png

The Python source code for starting the interactive 3D wpf plots can be found here: duhadler/XlCalcNet

The C# source code for the gallery of plots can be found here: duhadler/XlCalcNet

>>> from xlcalcnet import gui
>>> gui.plot3d(x)

Starting the data viewer#

gui.dataviewer()#

Describe the start of data viewer

../_images/DataViewer.png

The Python source code for starting the data viewer can be found here: duhadler/XlCalcNet

The C# source code for the data viewer can be found here: duhadler/XlCalcNet

>>> from xlcalcnet import gui
>>> gui.dataviewer(x)

Starting IDLE#

gui.idle()#

Describe the setup and use of IDLE

../_images/IDLE.png

The Python source code for starting the data viewer can be found here: duhadler/XlCalcNet

The C# source code for the data viewer can be found here: duhadler/XlCalcNet

>>> from xlcalcnet import gui
>>> gui.idle(x)

Information about installation status of supporting python packages#

gui.info()#

Support for Matplotlib output in a separate process

>>> from xlcalcnet import gui
>>> gui.info()
gui.has_gpm()#

Returns True if gmpy2 is installed

>>> from xlcalcnet import gui
>>> gui.has_gpm()
gui.has_apm()#

Returns True if python-flint is installed

>>> from xlcalcnet import gui
>>> gui.has_apm()
gui.has_xlcalcnet2()#

Returns True if xlcalcnet2 is installed

>>> from xlcalcnet import gui
>>> gui.has_xlcalcnet2()

Information about context lists, and setting global precision#

property gui.ctxlistreal#

Returns a list of all available numerical contexts supporting real data types

>>> from xlcalcnet import gui
>>> gui.ctxlistreal
property gui.ctxlistcplx#

Returns a list of all available numerical contexts supporting complex data types

>>> from xlcalcnet import gui
>>> gui.ctxlistcomplex
gui.setdps(dps)#

Sets the decimal precision for all multiprecision data types

>>> from xlcalcnet import gui
>>> dps = 50
>>> gui.setdps(dps)

Support for running interactive Matplotlib output in a separate process#

There is support for Matplotlib output in a separate process

See also: https://matplotlib.org/stable/users/explain/figure/interactive.html#default-ui

property gui.plot(fig, file, fname)#

Support for Matplotlib output in a separate process

>>> from xlcalcnet import gui
>>> gui.plot(fig, file, fname)
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