neuropercolation/evaluation/plots/plot.py

169 lines
4.9 KiB
Python
Raw Normal View History

2023-09-30 17:53:06 +00:00
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 21 16:12:53 2023
@author: astral
"""
import sys
import os
import pyqtgraph as qt
import pyqtgraph.exporters
from PyQt5.QtGui import QFont
import math as m
import numpy as np
def new_folder(path):
if not os.path.exists(path):
os.makedirs(path)
return path
def __get_color(factor, gamma=0.8):
frequency=380+factor*(750-380)
lightfrequency = 0.4*(3*np.log10(frequency/2)-2)/4
wavelength = 300/lightfrequency
'''steps of 10Hz: 22 means 220Hz'''
'''This converts a given wavelength of light to an
approximate RGB color value. The wavelength must be given
in values between 0 and 1 for 0=380nm through 1=750nm
(789 THz through 400 THz).
Based on code by Dan Bruton
http://www.physics.sfasu.edu/astro/color/spectra.html
'''
wavelength = float(wavelength)
if wavelength >= 380 and wavelength <= 440:
attenuation = 0.3 + 0.7 * (wavelength - 380) / (440 - 380)
R = ((-(wavelength - 440) / (440 - 380)) * attenuation) ** gamma
G = 0.0
B = (1.0 * attenuation) ** gamma
elif wavelength >= 440 and wavelength <= 490:
R = 0.0
G = ((wavelength - 440) / (490 - 440)) ** gamma
B = 1.0
elif wavelength >= 490 and wavelength <= 510:
R = 0.0
G = 1.0
B = (-(wavelength - 510) / (510 - 490)) ** gamma
elif wavelength >= 510 and wavelength <= 580:
R = ((wavelength - 510) / (580 - 510)) ** gamma
G = 1.0
B = 0.0
elif wavelength >= 580 and wavelength <= 645:
R = 1.0
G = (-(wavelength - 645) / (645 - 580)) ** gamma
B = 0.0
elif wavelength >= 645 and wavelength <= 750:
attenuation = 0.3 + 0.7 * (750 - wavelength) / (750 - 645)
R = (1.0 * attenuation) ** gamma
G = 0.0
B = 0.0
else:
R = 0.0
G = 0.0
B = 0.0
R *= 255
G *= 255
B *= 255
return (int(R), int(G), int(B))
def plot_execute():
if sys.flags.interactive != 1 or not hasattr(qt.QtCore, 'PYQT_VERSION'):
qt.QtGui.QApplication.exec_()
def qtplot(titletext, spaces, vals, names=None,
x_tag=f'noise level {chr(949)}', y_tag=None, x_log=False, y_log=False, x_range=None, y_range=None,
colors=None,
export=False, path=None, filename=None, lw=3, close=False):
linewidth = lw
if not close:
app = qt.mkQApp()
ph = qt.plot()
ph.showGrid(x=True,y=True)
if x_range is not None:
ph.setXRange(*x_range)
else:
ph.setXRange(min([min(sp) for sp in spaces]), max([max(sp) for sp in spaces]))
if y_range is not None:
ph.setYRange(*y_range)
else:
ph.setYRange(min([min(v) for v in vals]), max([max(v) for v in vals]))
ph.setLogMode(x=x_log, y=y_log)
ph.setTitle(title=titletext, offset=(1000,500))#.format(dim))
ph.setLabel('left', y_tag)
ph.setLabel('bottom', x_tag)
#ph.setXRange(0, 0.15)
ph.setFlag(ph.ItemIgnoresTransformations, False) # the relevant line
if names is not None:
ph.addLegend(offset=(400, 30),size=20)
#s = ph.plot(np.linspace(0.01,0.32,32), eps_max_freq0, title=sp_Title, pen='w')
#s = ph.plot(np.linspace(0.01,0.32,32), eps_max_freq1, title=sp_Title, pen='w')
if colors=='rgb':
colors=[__get_color(fac/(len(vals)-1)) for fac in range(len(vals))]
elif colors is None:
colors=['r', 'g', 'b', 'y', 'c', 'm', 'w',
(100,100,0), (0,100,100), (100,0,100),
(100,200,0), (0,100,200), (200,0,100),
(200,100,0), (0,200,100), (100,0,200)]
else:
colors = colors[::-1]
for i in range(len(vals)-1,-1,-1):
try:
s = ph.plot(spaces[i],
vals[i],
name=names[i] if names is not None else None,
pen=qt.mkPen(colors[i],
width=linewidth))
except:
print('Failed plotting '+names[i])
raise
#title_item = qt.TextItem(text=titletext, anchor=(0.5, 7), color='grey')
#ph.addItem(title_item)
#title_item.setPos(ph.getViewBox().viewRect().center())
#font = QFont()
#font.setPointSize(14) # Adjust the font size as needed
#title_item.setFont(font)
if export:
new_folder(path)
exporter = qt.exporters.ImageExporter(ph.plotItem)
# set export parameters if needed
exporter.parameters()['width'] = 1200 # (note this also affects height parameter)
# save to file
exporter.export(path+filename)
print(f'Saving to {path+filename}')
def handleAppExit():
# Add any cleanup tasks here
print("closing")
if close:
ph.close()
else:
app.aboutToQuit.connect(handleAppExit)
app.exec_()