General and user interface functions#

Starting the socket server#

gui.socketserver()#

Describe the start of the socket server

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

Starting the output monitor#

gui.outputmonitor()#

Describe the start of the output monitor

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

Starting an additional instance of the IDE#

gui.tinyide()#

Describe the start an additional instance of the IDE

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

Starting the interactive 3D wpf plots#

gui.plot3d()#

Describe the start of Interactive 3D Wpf plots

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

Starting the data viewer#

gui.dataviewer()#

Describe the start of data viewer

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

Starting IDLE#

gui.idle()#

Describe the setup and use of IDLE

>>> 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)

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

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)