Set of custom python packages for various odds and ends.

• mcol defines a set of colours as ANSI escape strings.
• module provides the module() function that calls lmod to persistently load softare on EUREKA.
• mout provides a set of functions for formatted console output.
• mplot provides a variety of plotting functions using matplotlib.

Provides ANSI escape strings for colourised terminal output that fits into a colour scheme. I.e. green success messages, red errors, orange warnings, yellow filenames etc...

For example to output an error message:

import mcol
print(mcol.error + "Error: Something went wrong!" + mcol.clear)

Please note that for most cases the functions in mout will achieve the same functionality with less code:

import mout
mout.errorOut("Something went wrong!")

Colour strings in the scheme:

• varName Variable names, turqoise
• varType Variable types/units, pink
• func Function/script name, underlined turqoise
• file Filename/path, yellow
• error For error messages, bold red
• success For success messages, bold green
• warning For warning messages, bold green
• result For results/variable values, blue
• arg For function arguments, lime

General colour strings:

• clear

• bold

• inverse

• underline

• red

• green

• yellow

Access the unix modulecmd from within python. Load and unload packages, which will persist so that subsequest exec() or os.system() commands will see them. Comma delimited arguments instead of spaces:

import module
module.module('load','lammps/2018/mpi+intel-xe_2017_3')

Write formatted output to the console.

General console message

mout.out(string,printScript=False,end="\n")

• string The message to be displayed
• printScript Prepend the output with the name of the script?
• end End the output with this string.

Output a variable and its value

def varOut(name, value, unit="",valCol="",precision=8,printScript=False,end="\n")

• name The name of the variable
• value Value of the variable
• unit Unit string for the variable
• valCol Custom colour string for the value
• precision Significant figures of the value output
• printScript Prepend the output with the name of the script?
• end End the output with this string.

Warning message

def warningOut(string,printScript=False,code=None,end="\n")

• string The message to be displayed
• printScript Prepend the output with the name of the script?
• code The warning code
• end End the output with this string.

Error message

def errorOut(string,printScript=False,fatal=False,code=None,end="\n"):

• string The message to be displayed
• printScript Prepend the output with the name of the script?
• fatal Exit the script?
• code The warning code
• end End the output with this string.

Functions for plotting data using matplotlib.

mplot requires matplotlib

Plotting 2D data:

mplot.graph2D(xdata,ydata,ytitles=None,filename=None,show=True,xmin=None,xmax=None,ymin=None,ymax=None,xlab='x',ylab='y',title=None)

• xdata List of x-axis values
• ydata List of y-axis values or list of list of y-axis values.
• ytitles List of titles for the different y-axis data-sets.
• filename Output filename.
• show Open a GUI window with the plot?
• xmin Lower bound of x-axis.
• xmax Upper bound of x-axis.
• ymin Lower bound of y-axis.
• ymax Upper bound of y-axis.
• xlab x-axis label.
• xlab y-axis label.
• title Title of plot.
• verbosity Verbosity level. Every nested function call will pass verbosity=verbosity-1.

Example:

import mplot
xdata = [1,2,3,4]
ydata1 = [1,2,3,4]
ydata2 = [3,4,5,6]
mplot.graph2D(xdata,ydata1,filename="test1.png",title="Test 1")
mplot.graph2D(xdata,[ydata1,ydata2],ytitles=["ydata1","ydata2"],filename="test2.png",title="Test 2")

Open figures in GUI windows

To show all the figures created in the interactive session:

mplot.show(verbosity=1)