Content
Python tricks
Parsing of input parameters
Parsing "on knees"
import sys import os def get_input_parameters() : nargs = len(sys.argv) print 'sys.argv[0]: ', sys.argv[0] print 'nargs: ', nargs # Then do something with arguments...
Use OptionParser
from optparse import OptionParser def input_option_parser() : def_fname = 'spec-xppi0412-r0060-20120507-125420.198726277.txt' def_cols = 100 parser = OptionParser(description='Process optional input parameters.', usage = "usage: %prog [options]") parser.add_option('-f', '--fname', dest='fname', default=def_fname, action='store', type='string', help='input file name') parser.add_option('-c', '--cols', dest='cols', default=def_cols, action='store', type='int', help='number of columns in the image array') parser.add_option('-v', dest='verbose', action='store_true', help='set flag to print more details', default=True) parser.add_option('-q', dest='verbose', action='store_false', help='set flag to print less details') (opts, args) = parser.parse_args() print 'opts:',opts print 'args:',args return (opts, args)
Dictionaris, Lists, etc
Make dictionary from two lists
k = ['a', 'b', 'c'] v = [1, 2, 3] d = dict(zip(keys, values)) >>> print dictionary {'a': 1, 'b': 2, 'c': 3}
Sorted list
Get sorted list from non-sorted:
lst_sorted = sorted(lst)
Define non-default order of elements:
def __cmp__(self, other) : """Method for sorted()""" if self.begin < other.begin : return -1 if self.begin > other.begin : return 1 if self.begin == other.begin : if self.end < other.end : return 1 # inverse comparison for end if self.end > other.end : return -1 if self.end == other.end : return 0
Manipulation with directories and files
Access to files in the derectory
def getListOfFilesInDir(dirname) : return os.listdir(dirname) def printListOfFilesInDir(dirname) : print 'List of files in the dir.', dirname for name in os.listdir(dirname) : print name print '\n'
Parsing the pathname
root, ext = os.path.splitext(path) # i.e. path='root-part.tail-part' basename = os.path.basename(path) dirname = os.path.dirname(path) lexist = os.path.lexists(path) isfile = os.path.isfile(path) isdir = os.path.isdir(path) head, tail= os.path.split(path) # i.e. path='head-part/tail-part' ...
http://docs.python.org/library/os.path.html
Joint path and name
path_name = os.path.join(path,fname)
Useful string parsing options
http://docs.python.org/library/string.html
string.rsplit(str, sep, maxsplit) string.capitalize(word) string.lower(s) start = string.find(symbolic_string, pattern) pattern_length = len(pattern)
http://docs.python.org/library/parser.html?
Or use more shorter methods for str
object:
http://docs.python.org/library/stdtypes.html, for example:
par_str = line[pos_eq+1:].strip(' ').rstrip('\n')
Replace the part of the string
my_string.replace("abcde","cde")
String formatting
s = 'some text %s %s' % (msg.ljust(30), str(val).rjust(30)
List of comprehension
list_of_x2 = [x*x for x in list_of_x]
list_of_x_selected = [x for x,y in zip(list_of_x, list_of_y) if y>0]
Polymorphism
Derived class initialization
class Base : def __init__(self) : ... class Derived(Base) : def __init__(self) : Base.__init__(self) # OR super(Derived, self).__init__()
Python - useful references
Built-in functions
http://docs.python.org/library/functions.html
setattr - gives dynamic variables in python
http://docs.python.org/library/functions.html#setattr
PyQt4
PyQt4 class references
All classes
Selected:
Open/close/move other GUI window
Try to close window if its object exists, othervise - open:
def processConfigPars(self): print 'processConfigPars' try : cp.confpars.guiconfigparameters.close() except : # AttributeError: #NameError cp.confpars.guiconfigparameters = guiconfigpars.GUIConfigParameters() cp.confpars.guiconfigparameters.move(self.pos().__add__(QtCore.QPoint(100,330))) # window offset # or use self.parentWidget().pos() for combined widgets: # cp.guifilebrowser.move(self.parentWidget().pos().__add__(QtCore.QPoint(240,40))) cp.confpars.guiconfigparameters.show()
Sometime it looks like the window does not want to move in specified position...
In particular I have observed, that everything is going correct untill the w.show()
. then, suddenly happens moveEvent(), which changes the self.pos(). In my case it happened because at construction of the combined window, its size was changed and it was moved in origin... Reservation of larger window size solved this problem.
Close window and delete object
def closeEvent(self, event): try: # try to delete self object in the cp.confpars del cp.confpars.guiconfigparameters except # AttributeError: pass # silently ignore
Change style of buttons depending on status
For particular QPushButton it works:
self.but_path = QtGui.QPushButton('File:') self.but_path.setObjectName('but_path') self.but_path.setStyleSheet('QPushButton#but_path:pressed {color: black; background-color: green;}' + 'QPushButton#but_path:disabled {color: white; background-color: pink;}' + 'QPushButton {color: blue; background-color: yellow;}')
For entire application it should be like:
app = QtGui.QApplication.instance() app.setStyleSheet('QLabel{color: #fff;} QPushButton{background-color: #000; color: #fff}')
but does not work for me...
Make window visible on the top
widg.raise_()
Scroll down text in
Assuming
self.box_txt = QtGui.QTextEdit() self.box_txt.setText('some text') self.box_txt.append('a lot of additional text, exceeding the window size') self.box_txt.ensureCursorVisible()
Scroll bar can be used, but result is not seen imidiately:
scrol_bar_v = self.box_txt.verticalScrollBar() # QScrollBar scrol_bar_v.setValue(scrol_bar_v.maximum())
Moving text cursor with repaint() works immidiately:
self.box_txt.moveCursor(QtGui.QTextCursor.End) self.box_txt.repaint()
Set optimal table-widget size
self.table = QtGui.QTableWidget(rows, cols, self) ... self.table.setFixedWidth(self.table.horizontalHeader().length() + 4) self.table.setFixedHeight(self.table.verticalHeader().length() + 29)
Show image in QLabel
Assumes:
class GUIImage ( QtGui.QLabel ) : def __init__ (self, parent=None, app=None) : QtGui.QLabel.__init__(self, parent) self.setGeometry(200, 100, 100, 100) self.setWindowTitle('Image For Grabber') self.setFrame() ...
i.e. self
is an instance of QLabel
.
Set pixmap for image
def setPixmapForImage(self): if self.r_pixmap == None : self.s_pixmap = None self.clear() else : self.s_pixmap = self.r_pixmap.scaled(self.size(), QtCore.Qt.KeepAspectRatio) self.setPixmap(self.s_pixmap) self.setAlignment(QtCore.Qt.AlignTop | QtCore.Qt.AlignLeft) self.setScailedMask()
Grab image from monitor
def grabImage(self): fname = tempfile.NamedTemporaryFile(mode='r+b',suffix='.ppm') if( 0 == os.system('import -trim -frame -border %s' % (fname.name))) : self.r_pixmap = QtGui.QPixmap(QtGui.QImage(fname.name)) self.setPixmapForImage()
Grab entire monitor window
def grabEntireWindow(self): self.r_pixmap = QtGui.QPixmap.grabWindow(QtGui.QApplication.desktop().winId()) self.setPixmapForImage()
Load image from file
def loadImageFromFile(self, fname) : #Read formats: bmp, jpg, jpeg, png, ppm, xbm, xpm + gif, pbm, pgm, self.r_pixmap = QtGui.QPixmap(QtGui.QImage(fname)) self.setPixmapForImage()
Set the mask to suppress the background layer
def setScailedMask(self): size = self.s_pixmap.size() print 'Scaled pixmap size: %d x %d' % (size.width(), size.height()) #================================== self.qimage_mask = QtGui.QImage(size, QtGui.QImage.Format_Mono) self.qimage_mask.fill(0) self.qbitmap_mask = QtGui.QBitmap.fromImage(self.qimage_mask) self.s_pixmap.setMask(self.qbitmap_mask) #==================================
Save image in file
def saveImageInFile(self, fname='test.png'): #Write formats: bmp, jpg, jpeg, png, pbm, pgm, ppm, xbm, xpm if self.r_pixmap is not None : self.r_pixmap.save(fname, format=None)
Set transparent frame
def setFrame(self): self.frame = QtGui.QFrame(self) self.frame.setFrameStyle( QtGui.QFrame.Box | QtGui.QFrame.Sunken ) #Box, Panel | Sunken, Raised self.frame.setLineWidth(0) self.frame.setMidLineWidth(1) self.frame.setGeometry(self.rect()) #self.frame.setVisible(False) self.frame.setStyleSheet('background: transparent;')
Resize event
def resizeEvent(self, e): s = self.size() self.frame.setGeometry(QtCore.QRect(0,0,s.width(),s.height())) self.setPixmapForImage()
Get window size and position
Global (top-left) point of the window on monitor:
point = self.mapToGlobal(QtCore.QPoint(0,0))
- changing in resizeEvent(...)
and moveEvent(...)
x,y,w,h = size.size().x(), size.size().y(), size.size().width(), size.size().height()
where - w and h changing in resizeEvent(...)
,
x,y changing in moveEvent(...)
only.
Window relative dims: rect = self.rect()
- changing in resizeEvent(...)
Show image in QtGui.QGraphicsView
QGraphicsView is a class with scrolled graph window...
Graphics in PyQt4
... self.poi1 = QtCore.QPoint(0,0) self.poi2 = QtCore.QPoint(0,0) self.rect1 = QtCore.QRect() self.rect2 = QtCore.QRect() self.pen1 = QtGui.QPen(QtCore.Qt.black) self.pen2 = QtGui.QPen(QtCore.Qt.white) self.pen1.setStyle(QtCore.Qt.DashLine) self.pen2.setStyle(QtCore.Qt.DashLine) self.pen1.setWidthF(1) self.pen2.setWidthF(1) ... def paintEvent(self, e): super(GUIImage,self).paintEvent(e) qp = QtGui.QPainter() # or QPainter can be defined earlier and use it as qp = self.qp qp.begin(self) #self.drawPixmap(qp) self.drawRect(qp) qp.end() self.update() def setPen(self, qp): self.pen.setStyle(QtCore.Qt.DashLine) self.pen.setWidthF(1) def drawRect(self, qp): if self.r_pixmap == None: return p1x, p1y = self.poi1.x(), self.poi1.y() p2x, p2y = self.poi2.x(), self.poi2.y() R=1 if abs(p2x-p1x) < R : return if abs(p2y-p1y) < R : return self.rect1.setCoords( p1x, p1y, p2x, p2y) self.rect2.setCoords( p1x+1, p1y+1, p2x-1, p2y-1) qp.setPen (self.pen1) qp.drawRect(self.rect1); qp.setPen (self.pen2) qp.drawRect(self.rect2); def drawPixmap(self, qp): if self.r_pixmap != None: qp.drawPixmap(0,0,self.s_pixmap)
See other draw options in QPainter class reference.
Style options
self.styleTransp = "background-color: rgb(255, 0, 0, 100);" self.styleTitle = "background-color: rgb(239, 235, 231, 255); color: rgb(100, 160, 100);" # Gray bkgd self.styleWhite = "background-color: rgb(255, 255, 255); color: rgb(0, 0, 0);" self.styleTitleBold = self.styleTitle + 'font-size: 18pt; font-family: Courier; font-weight: bold;' self.styleWhiteFixed= self.styleWhite + 'font-family: Fixed;' self.colorEditInfo = QtGui.QColor(100, 255, 200) self.colorEditBad = QtGui.QColor(255, 0, 0) self.colorEdit = QtGui.QColor('white') self.but_close .setStyleSheet (cp.styleButton) self.but_close .setFlat(True) self.but_logger.setVisible(True) self.box_txt .setReadOnly(True) self.tit_title .setAlignment(QtCore.Qt.AlignTop | QtCore.Qt.AlignCenter) self.but_logger.setIcon(cp.icon_contents) self.setMinimumWidth(400) self.setMinimumHeight(320) self.setMinimumSize(600,700) self.setFixedHeight(350)
Icons
path = './icons/' self.icon_contents = QtGui.QIcon(path + 'contents.png') self.but_logger.setIcon(cp.icon_contents)
Tooltips
self.edi_usr.setToolTip('Sender of the message')
Matplotlib
In examples below we assume
fig = plt.figure(num=1, figsize=(10,10), dpi=100, facecolor='w',edgecolor='w',frameon=True) axes = fig.add_subplot(111) axim = axes.imshow(arrwin, interpolation='nearest', origin='bottom', aspect='auto', extent=[xmin, xmax, ymax, ymin])
Save figure in file
fig.savefig(fname, dpi=240)
Clear figure
fig.clear()
Graphic
axes.plot(xarr1, yarr1, '-r', xarr2, yarr2, '-g')
Histogram
axes.hist(arr, bins=100, range=(10,50), log=False) # log for vertical scale only
Image (with colorbar)
img = axes.imshow(arr2d, interpolation='nearest', origin='bottom', aspect='auto') img.set_clim(Amin,Amax) cbar = self.fig.colorbar(img, orientation='vertical', \ fraction=0.1, pad=0.01, shrink=1.0, aspect=20) # fraction - of the 2d plot occupied by the color bar # pad - is a space between 2d image and color bar # shrink - factor for the length of the color bar # aspect - ratio length/width of the color bar
Color bar as a separate sub-plot
axcb = fig.add_axes([0.1, 0.1, 0.8, 0.1]) # x0, y0, width, height cbar = fig.colorbar(img, cax=axcb, orientation='horizontal', \ fraction=0.1, pad=0.01, shrink=1.0, aspect=20) axcb.xaxis.set_ticks_position('top') # change position of axis labels
Define subplot(s) with empty axes
axes = fig.add_subplot(111)
or
axes1 = fig.add_subplot(211) axes2 = fig.add_subplot(212)
Make figure with non-equal subplots
# x0, y0, width, height axgr = fig.add_axes([0.1, 0.64, 0.80, 0.35]) axhi = fig.add_axes([0.1, 0.14, 0.35, 0.35]) axti = fig.add_axes([0.55, 0.14, 0.35, 0.35])
or using grid:
import matplotlib.gridspec as gridspec gs = gridspec.GridSpec(20, 20) # Naive direction [ Y , X ] axsa = fig.add_subplot(gs[ 1:16, 0:14]) axsb = fig.add_subplot(gs[ 1:16, 14:19]) axsc = fig.add_subplot(gs[16: , 0:14])
Set axes limits
axes.set_xlim((-50,50)) axes.set_ylim((-10,210))
Draw line
import matplotlib.lines as lines line = lines.Line2D(arrx, arry, linewidth=1, color='r') axes.add_artist(line)
Set a number of ticks along the axis
from matplotlib.ticker import MaxNLocator axes.xaxis.set_major_locator(MaxNLocator(4))
Axis without tick-labels
import matplotlib.ticker as mtick axes.xaxis.set_major_formatter( mtick.NullFormatter() )
Rotate axis tick-labels
for label in axes.get_xticklabels() : label.set_rotation(60) # rotate by 60 degree label.set_horizontalalignment('center') # 'right', etc.
Change axis tick-label position on the plot
axes.xaxis.set_ticks_position('top') axes.yaxis.set_ticks_position('right')
Change axis tick-label font size
axes.tick_params(axis='both', which='major', labelsize=8)
Axes labels and size
axes.set_xlabel('Time index', fontsize=10) axes.set_ylabel('dt(sec)', fontsize=8)
Axes labels with LaTeX symbols
Use raw
string with LaTeX notations inside:
axes.set_xlabel(r'$\rho A_i$')
Text in axes
plt.text(x, y, text, fontsize=7, color='k', ha='left', rotation=45) axes.text(x, y, text, fontsize=7, color='k', ha='left', rotation=45)
Window title for figure
fig = plt.figure(figsize=(15,5), dpi=80, facecolor='w',edgecolor='w',frameon=True) fig.canvas.set_window_title('Image And Spectrum ' + u'\u03C6')
Axes title
plt.title('Image',color='b',fontsize=20) or axes.set_title('Image',color='b',fontsize=20)
Log scale methods
Log values:
from math import log10 log_vmin, log_vmax = log10(vmin), log10(vmax)
Log scale axes:
axes.set_xscale('log') axes.set_yscale('log')
Log scale image data:
self.arr2d = np.log10(self.arrwin) self.imsh = axis.imshow(self.arr2d, origin='upper', \ interpolation='nearest', \ extent=self.range, aspect='auto') self.imsh.set_clim(log_vmin,log_vmax)
Histogram with log statistics (y axis):
axes.hist(self.arrwin.flatten(), bins=self.nbins, range=self.range_his, log=True)
Plot histogram with log bin size:
logbins=10**np.linspace(log_vmin, log_vmax, nbins) # or: logbins=np.logspace(log_vmin, log_vmax, nbins) self.axhi.hist(self.arrwin.flatten(), bins=logbins )
Window title
fig.canvas.set_window_title('Image And Spectrum ' + u'\u03C6')
Add unicode symbols in string
str = 'Symbol phi: ' + u'\u03C6'
Get canvas and connect it with mouse buttons
canvas = fig.canvas canvas.mpl_connect('button_press_event', self.processMouseButtonPress) canvas.mpl_connect('button_release_event', self.processMouseButtonRelease) canvas.mpl_connect('motion_notify_event', self.processMouseMotion) ... def processMouseButtonPress(self, event) : print 'MouseButtonPress' print 'event: xdata, ydata, x, y =', event.xdata, event.ydata, event.x, event.y if event.inaxes == self.axgr : self.mousePressOnGraph(event) if event.inaxes == self.axti : self.mousePressOnGraph(event) if event.inaxes == self.axhi : self.mousePressOnHisto(event) if event.button == 1 : # 1=left, 2=middle, 3=right self.gr_xmin = float(event.xdata)
At the edge of matplotlib and PyQt4
We assume that everything is done in our backend basis:
import matplotlib matplotlib.use('Qt4Agg') import matplotlib.pyplot as plt
Check and set backend
import matplotlib if matplotlib.get_backend() != 'Qt4Agg' : matplotlib.use('Qt4Agg')
Get the current matplotlib figure window position on monitor
pos = fig.canvas.manager.window.pos() print 'x,y=', pos.x(), pos.y()
Move the matplotlib figure window in certain (x,y) position
fig.canvas.manager.window.move(x,y) # in pixels from top-left corner
or
plt.get_current_fig_manager().window.move(90, 100)
For our backend starting from python 2.7.2:
plt.get_current_fig_manager().window.geometry("+100+300")
Move the matplotlib figure window on top (of all pileup windows)
fig.canvas.manager.window.activateWindow() # Makes window active fig.canvas.manager.window.raise_() # Moves window on top
the attribute trick is that the fig.canvas.manager.window
returns the QtGui.QMainWindow
, which is subclass of QtGui.QWidget
with all that useful methods.
Add figure as a widget of the QtGui
fig = plt.figure(num=None figsize=(5,10), dpi=100, facecolor='w',edgecolor='w',frameon=True) vbox = QtGui.QVBoxLayout() vbox.addWidget(fig.canvas) # Wraps figure canvas in widget self.setLayout(vbox)
How to recieve a signal in program when window is activated by the mouse click on frame ?
I do not know yet...
But, if you click on figure canvas (the region inside the window frame, use
fig.canvas.mpl_connect('button_press_event', self.onButtonPressEvent) #Should be implemented something like: def onButtonPressEvent( self, event ): """Figure is picked""" print 'click on fig number =', event.canvas.figure.number
Receive a signal in program when close window by the click on "X"
fig.canvas.mpl_connect('close_event', self.onCloseEvent) #Should be implemented something like: def onCloseEvent( self, event ): print 'close event, fig number =', event.canvas.figure.number
Close figure from program call
plt.close( num ) # close figure with known number num ... plt.close('all') # close all figures
Emit your own signal in PyQt4
from PyQt4 import QtGui, QtCore class Drag ( QtCore.QObject ): def __init__(self) : QtCore.QObject.__init__(self, None) # need it for signal exchange... ... self.emit( QtCore.SIGNAL('new_xy_center(int,int)'), x, y)
Receive your own signal in PyQt4
from PyQt4 import QtGui, QtCore class BatchJobCorAna( QtCore.QObject ) : def __init__(self) : QtCore.QObject.__init__(self, None) # need it for signal exchange... ... def connectToThread1(self): #try : self.connect( thread1, QtCore.SIGNAL('update(QString)'), self.updateStatus ) try : self.connect( thread1, QtCore.SIGNAL('new_xy_center(int,int)'), self.updateStatus ) except : logger.warning('connectToThread1 IS FAILED !!!', __name__) def updateStatus(self, x, y): print 'BatchJobCorAna: Signal is recieved, x,y=', x, y
where thread1
is an object emiting the signal.
NumPy
Import
#!/usr/bin/env python import numpy as np
Read numpy array from text file
nparr = np.loadtxt('arr.txt', dtype=np.float)
errors = 0.5*np.random.normal(size=len(yn))
Save numpy arrays
np.savetxt(fname, array) # , fmt='%f') np.save(fname, array) np.savez(fname, [array1, array2,...])
Save image in 8-bit TIFF file
import scipy.misc as scim scim.imsave('fname.tiff', arr2d)
Other supported formats: gif, pdf, png, jpeg, eps
Save image in 16-bit TIFF file
import Image img = Image.fromarray(arr.astype(np.int16)) # or int32 img.save('fname.tiff')
Read image from TIFF file
import scipy.misc as scim arr2d = scim.imread('fname.tiff')
2-d Array rotation by n*90 degree
#!/usr/bin/env python import numpy as np a = np.arange(12.).reshape((4, 3)) print 'Input array a=\n',a print 'rotation for 90 flipud(a.T)=\n',np.flipud(a.T) print 'rotation for 180 flipud(np.fliplr(a))=\n',np.flipud(np.fliplr(a)) print 'rotation for 270 fliplr(a.T)=\n',np.fliplr(a.T)
Fill histograms using np.bincount
binstat = np.bincount(self.rbinind.flatten(), weights=self.mask.flatten(), minlength=self.rrange[2]) bin_integral = np.bincount(self.rbinind.flatten(), weights=image.flatten(), minlength=self.rrange[2])
Use np.select
V = np.array(...) Vmin, Vmax, Nbins1 <--- scalar valuer indarr = np.int32( factor * (V-Vmin) ) arr = np.select([V==Vmax, indarr<0, indarr>Nbins1], [Nbins1, 0, 0], default=indarr)
SciPy
Import
#!/usr/bin/env python import numpy as np from scipy.optimize import curve_fit
Fit to data
Reference to scipy.optimize.curve_fit
Fitting data example
Working example:
#!/usr/bin/env python import numpy as np from scipy.optimize import curve_fit def func(x, a, b, c): return a*np.exp(-b*x) + c p0 = [2.5, 1.3, 0.5] x = np.linspace(0, 5, 50) y = func(x, *p0) yn = y + 0.2*np.random.normal(size=len(x)) en = 1.1*np.random.normal(size=len(x)) popt, pcov = curve_fit(func, x, yn, p0, en) yf = func(x, *popt) print "p0 = ", p0 print "popt = ", popt print "pcov:\n", pcov # Let's plot it now import matplotlib.pyplot as plt plt.plot( #x, y, 'r-', \ x, yn, 'g^', \ x, yf, 'bs-') plt.show()