Content
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)
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
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')
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
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...
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])
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]) 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
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')
Axes labels
axes.set_xlabel('Time index') axes.set_ylabel('dt(sec)')
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)
Axes title
plt.title('Image',color='b',fontsize=20) or axes.set_title('Image',color='b',fontsize=20)
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
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