FilipDominec

#!/usr/bin/env python3  
#-*- coding: utf-8 -*-

"""
Quick conversion from Pixet frames to a *.vtk file for viewing in Mayavi2 or Paraview. 

From a directory of 2D ASCII arrays like

    frames_100.txt  frames_110.txt  frames_12.txt  frames_23.txt  frames_34.txt  frames_44.txt  
    frames_54.txt  frames_64.txt  frames_74.txt  frames_84.txt  frames_94.txt (...)

FilipDominec

How to convert multi-page Inkscape (SVG/SVGZ) document into a presentation.

Inkscape 1.4+ supports multi-page documents which enables us to use its advanced drawing features for making elaborate presentations. Normally one would save SVGZ for further editing, and PDF for full-screen presentations. However, Inkscape currently cannot directly export ODP/PPTX. So when e.g. your colleagues ask for a "real presentation" format, LibreOffice comes to help:

    Inkscape - draw your presentation almost as usual, but keeping in mind: 
        pages size shall be 1920x1080 px (otherwise you will have to change page size in loimpress later)
        classical fonts are recommended (Verdana, Times etc.)
        rasterize all clipped images, or their clip masks will not be kept (select each, alt+B)
        save PDF (e.g. version 1.5)
    LODraw: 

FilipDominec

vpos_panchro     = 4230 
vpos_spectro     = 1180
vpos_monochro    = 110
calib1_nm = 27.1
calib1_stepper = 0
calib2_nm = 653.3
calib2_stepper = 100000
min_limit_nm = 100
max_limit_nm = 1000

FilipDominec

SIDEPLOTS = 0.0 # defaults 0.15 of width & height; set to 0 to disable them
FONTSIZE = 20

SIDEPLOTS = 0.15; FONTSIZE = 18 # defaults 0.15 of width & height; set to 0 to disable them


SIDELEGENDS = False # True is useful for small fonts & big plots only
SAVEPLOT = True
SAVEDECAYS, SAVESPECTRA = 1,1 # for further processing

FilipDominec

#!/usr/bin/python3  
#-*- coding: utf-8 -*-
# Visualise 2D maps from the Horiba Evolution confocal Raman microscope/spectrometer (needs converting .L6M to .TXT)

## Import common moduli
import sys, os, time, collections
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
#from scipy.constants import c, hbar, pi

FilipDominec

#!/usr/bin/python3
#-*- coding: utf-8 -*-
""" 
Invocation: 
    explore_liborigins_object.py file.opj
    
Results in recursive printout of all the nested structure of the object provided by liborigin. 
Code can be modified and reused for other complex objects. 
"""

FilipDominec

#!/usr/bin/python3  
#-*- coding: utf-8 -*-

# Searches for such charset conversion, which would generate a wrong encoded string from a known correct one
# Public domain, written by Filip Dominec 2022

# EXAMPLES: 

#wrong, correct = "╪ konstrukЯnб ¤eчenб", "ě konstrukční řešení"
#wrong, correct = "sloučeninovĂ˝ch", "sloučeninových"

FilipDominec

#!/usr/bin/python3  
#-*- coding: utf-8 -*-

## Import common moduli
import sys 
import matplotlib.pyplot as plt
import numpy as np
import struct

"""

FilipDominec

#!/usr/bin/python3
#-*- coding: utf-8 -*-
# License: This code is released as public domain. 


import time
import numpy as np
import tkinter as tk

X_SIZE, Y_SIZE = 200, 200

FilipDominec

#!/usr/bin/python3  
#-*- coding: utf-8 -*-
import chardet, pathlib, sys

known_enc = {'Win':'Windows-1250', 'ISO':'ISO-8859-2', '1250':'Windows-1250', 'utf':'utf8' }
for fn in sys.argv[1:]:                                                                                                                                      
    found_enc = chardet.detect(pathlib.Path(fn).read_bytes())['encoding']
    if found_enc[:3] in known_enc.keys():
       found_enc = known_enc[found_enc[:3]]
    print(f'{fn:20s} auto-detected encoding {found_enc:14s}', end='')