| 1 | #!/usr/bin/python -tt
|
|---|
| 2 | #
|
|---|
| 3 | # Werner Lustermann, Dominik Neise
|
|---|
| 4 | # ETH Zurich, TU Dortmund
|
|---|
| 5 | #
|
|---|
| 6 | # plotter.py
|
|---|
| 7 |
|
|---|
| 8 | import numpy as np
|
|---|
| 9 | import matplotlib.pyplot as plt
|
|---|
| 10 | import os.path
|
|---|
| 11 | import sys
|
|---|
| 12 |
|
|---|
| 13 | # this class was formerly called Plotter in the depricated
|
|---|
| 14 | # module plotter.py
|
|---|
| 15 | class SimplePlotter(object):
|
|---|
| 16 | """ simple x-y plot """
|
|---|
| 17 | def __init__(self, name, x, style = 'b', xlabel='x', ylabel='y'):
|
|---|
| 18 | """ initialize the object """
|
|---|
| 19 |
|
|---|
| 20 | self.name = name
|
|---|
| 21 | self.fig = plt.figure()
|
|---|
| 22 | self.line, = plt.plot(x, style)
|
|---|
| 23 |
|
|---|
| 24 | plt.title(name)
|
|---|
| 25 | plt.xlabel(xlabel)
|
|---|
| 26 | plt.ylabel(ylabel)
|
|---|
| 27 | plt.grid(True)
|
|---|
| 28 |
|
|---|
| 29 | def __call__(self, ydata):
|
|---|
| 30 | """ set ydata of plot """
|
|---|
| 31 | plt.figure(self.fig.number)
|
|---|
| 32 | plt.ylim( np.min(ydata), np.max(ydata) )
|
|---|
| 33 | self.line.set_ydata(ydata)
|
|---|
| 34 | plt.draw()
|
|---|
| 35 |
|
|---|
| 36 | class Plotter(object):
|
|---|
| 37 | """ simple x-y plot """
|
|---|
| 38 | def __init__(self, name, x=None, style = '.:', xlabel='x', ylabel='y', ion=True, grid=True, fname=None):
|
|---|
| 39 | """ initialize the object """
|
|---|
| 40 |
|
|---|
| 41 | self.name = name
|
|---|
| 42 | self.x = x
|
|---|
| 43 | self.style = style
|
|---|
| 44 | self.xlabel = xlabel
|
|---|
| 45 | self.ylabel = ylabel
|
|---|
| 46 |
|
|---|
| 47 | #not sure if this should go here
|
|---|
| 48 | if ion:
|
|---|
| 49 | plt.ion()
|
|---|
| 50 |
|
|---|
| 51 | self.figure = plt.figure()
|
|---|
| 52 | self.fig_id = self.figure.number
|
|---|
| 53 |
|
|---|
| 54 | plt.grid(grid)
|
|---|
| 55 | self.grid = grid
|
|---|
| 56 | self.fname = fname
|
|---|
| 57 |
|
|---|
| 58 | def __call__(self, ydata, label=None):
|
|---|
| 59 | """ set ydata of plot """
|
|---|
| 60 | style = self.style
|
|---|
| 61 |
|
|---|
| 62 | # make acitve and clear
|
|---|
| 63 | plt.figure(self.fig_id)
|
|---|
| 64 | plt.cla()
|
|---|
| 65 |
|
|---|
| 66 | # the following if else stuff is horrible,
|
|---|
| 67 | # but I want all those possibilities, .... still working on it.
|
|---|
| 68 |
|
|---|
| 69 | # check if 1Dim oder 2Dim
|
|---|
| 70 | ydata = np.array(ydata)
|
|---|
| 71 | if ydata.ndim ==1:
|
|---|
| 72 | if self.x==None:
|
|---|
| 73 | plt.plot(ydata, self.style, label=label)
|
|---|
| 74 | else:
|
|---|
| 75 | plt.plot(self.x, ydata, self.style, label=label)
|
|---|
| 76 | else:
|
|---|
| 77 | for i in range(len(ydata)):
|
|---|
| 78 | if self.x==None:
|
|---|
| 79 | if label:
|
|---|
| 80 | plt.plot(ydata[i], style, label=label[i])
|
|---|
| 81 | else:
|
|---|
| 82 | plt.plot(ydata[i], style)
|
|---|
| 83 | else:
|
|---|
| 84 | if label:
|
|---|
| 85 | plt.plot(self.x, ydata[i], style, label=label[i])
|
|---|
| 86 | else:
|
|---|
| 87 | plt.plot(self.x, ydata[i], style)
|
|---|
| 88 | plt.title(self.name)
|
|---|
| 89 | plt.xlabel(self.xlabel)
|
|---|
| 90 | plt.ylabel(self.ylabel)
|
|---|
| 91 | if label:
|
|---|
| 92 | plt.legend()
|
|---|
| 93 |
|
|---|
| 94 | if self.fname != None:
|
|---|
| 95 | plt.savefig(self.fname)
|
|---|
| 96 |
|
|---|
| 97 | plt.grid(self.grid)
|
|---|
| 98 | plt.draw()
|
|---|
| 99 |
|
|---|
| 100 |
|
|---|
| 101 | class CamPlotter(object):
|
|---|
| 102 | """ plotting data color-coded into FACT-camera """
|
|---|
| 103 | def __init__(self, name, ion=True, grid=True, fname=None, map_file_path = '../map_dn.txt', vmin=None, vmax=None):
|
|---|
| 104 | """ initialize the object """
|
|---|
| 105 | path = os.path.abspath(__file__)
|
|---|
| 106 | path = os.path.dirname(path)
|
|---|
| 107 | map_file_path = os.path.join(path, map_file_path)
|
|---|
| 108 | if not os.path.isfile(map_file_path):
|
|---|
| 109 | print 'not able to find file:', map_file_path
|
|---|
| 110 | sys.exit(-2)
|
|---|
| 111 |
|
|---|
| 112 | self.name = name
|
|---|
| 113 | if ion:
|
|---|
| 114 | plt.ion()
|
|---|
| 115 |
|
|---|
| 116 | chid, y,x,xe,ye,yh,xh,softid,hardid = np.loadtxt(map_file_path ,unpack=True)
|
|---|
| 117 | self.xe = xe
|
|---|
| 118 | self.ye = ye
|
|---|
| 119 |
|
|---|
| 120 | self.H = (6,0,30./180.*3.1415926)
|
|---|
| 121 |
|
|---|
| 122 | self.figure = plt.figure(figsize=(6, 6), dpi=80)
|
|---|
| 123 | self.fig_id = self.figure.number
|
|---|
| 124 |
|
|---|
| 125 | self.grid = grid
|
|---|
| 126 | self.fname = fname
|
|---|
| 127 | self.vmin = vmin
|
|---|
| 128 | self.vmax = vmax
|
|---|
| 129 |
|
|---|
| 130 | def __call__(self, data, mask=None):
|
|---|
| 131 | # define some shortcuts
|
|---|
| 132 | xe = self.xe
|
|---|
| 133 | ye = self.ye
|
|---|
| 134 | H = self.H
|
|---|
| 135 | name = self.name
|
|---|
| 136 | grid = self.grid
|
|---|
| 137 | vmin = self.vmin
|
|---|
| 138 | vmax = self.vmax
|
|---|
| 139 |
|
|---|
| 140 | # get the figure, clean it, and set it up nicely.
|
|---|
| 141 | # maybe cleaning is not necessary and takes long, but
|
|---|
| 142 | # I've got no time to test it at the moment.
|
|---|
| 143 | plt.figure(self.fig_id)
|
|---|
| 144 | plt.clf()
|
|---|
| 145 | self.ax = self.figure.add_subplot(111, aspect='equal')
|
|---|
| 146 | self.ax.axis([-22,22,-22,22])
|
|---|
| 147 | self.ax.set_title(name)
|
|---|
| 148 | self.ax.grid(grid)
|
|---|
| 149 |
|
|---|
| 150 | # throw data into numpy array for simplicity
|
|---|
| 151 | data = np.array(data)
|
|---|
| 152 |
|
|---|
| 153 | #handle masked case specially
|
|---|
| 154 | if mask!= None:
|
|---|
| 155 | if len(mask)==0:
|
|---|
| 156 | return
|
|---|
| 157 |
|
|---|
| 158 | elif mask.dtype == bool and data.ndim ==1 and len(mask)==1440:
|
|---|
| 159 | length = mask.sum()
|
|---|
| 160 | mask = np.where(mask)[0]
|
|---|
| 161 | mxe = np.empty( length )
|
|---|
| 162 | mye = np.empty( length )
|
|---|
| 163 | mdata = np.empty( length )
|
|---|
| 164 | for i,chid in enumerate(mask):
|
|---|
| 165 | #print i , chid
|
|---|
| 166 | mxe[i] = xe[chid]
|
|---|
| 167 | mye[i] = ye[chid]
|
|---|
| 168 | mdata[i] = data[chid]
|
|---|
| 169 | #print 'mxe', mxe, 'len', len(mxe)
|
|---|
| 170 | #print 'mye', mye, 'len', len(mye)
|
|---|
| 171 | #print 'mxe', mdata, 'len', len(mdata)
|
|---|
| 172 |
|
|---|
| 173 | self.ax.axis([-22,22,-22,22])
|
|---|
| 174 | self.ax.set_title(name)
|
|---|
| 175 | self.ax.grid(grid)
|
|---|
| 176 | # the next line is a stupid hack
|
|---|
| 177 | # I plot invisible pixels, so that the axes show look ok.
|
|---|
| 178 | # this must be possible differently, but I don't know how...
|
|---|
| 179 | self.ax.scatter(xe,ye,s=25,alpha=0,marker=H)
|
|---|
| 180 |
|
|---|
| 181 | result = self.ax.scatter(mxe,mye,s=25,alpha=1.,
|
|---|
| 182 | c=mdata, marker=H, linewidths=0., vmin=vmin, vmax=vmax)
|
|---|
| 183 | self.figure.colorbar( result, shrink=0.8, pad=-0.04 )
|
|---|
| 184 | plt.draw()
|
|---|
| 185 |
|
|---|
| 186 |
|
|---|
| 187 | elif mask.dtype == int and data.ndim ==1:
|
|---|
| 188 | length = len(mask)
|
|---|
| 189 | mxe = np.empty( length )
|
|---|
| 190 | mye = np.empty( length )
|
|---|
| 191 | mdata = np.empty( length )
|
|---|
| 192 | for i,chid in enumerate(mask):
|
|---|
| 193 | mxe[i] = xe[chid]
|
|---|
| 194 | mye[i] = ye[chid]
|
|---|
| 195 | mdata[i] = data[chid]
|
|---|
| 196 |
|
|---|
| 197 | self.ax.axis([-22,22,-22,22])
|
|---|
| 198 | self.ax.set_title(name)
|
|---|
| 199 | self.ax.grid(grid)
|
|---|
| 200 | # the next line is a stupid hack
|
|---|
| 201 | # I plot invisible pixels, so that the axes show look ok.
|
|---|
| 202 | # this must be possible differently, but I don't know how...
|
|---|
| 203 | self.ax.scatter(xe,ye,s=25,alpha=0,marker=H)
|
|---|
| 204 |
|
|---|
| 205 | result = self.ax.scatter(mxe,mye,s=25,alpha=1.,
|
|---|
| 206 | c=mdata, marker=H, linewidths=0., vmin=vmin, vmax=vmax)
|
|---|
| 207 | self.figure.colorbar( result, shrink=0.8, pad=-0.04 )
|
|---|
| 208 | plt.draw()
|
|---|
| 209 |
|
|---|
| 210 | else:
|
|---|
| 211 | print "there is a mask, but I don't know how to treat it!!!"
|
|---|
| 212 | sys.exit(-1)
|
|---|
| 213 | else: # i.e. when mask is None
|
|---|
| 214 | # handle 1D and 2D case differently
|
|---|
| 215 | if data.ndim == 1 and len(data)==1440:
|
|---|
| 216 | result = self.ax.scatter(xe,ye,s=25,alpha=1,
|
|---|
| 217 | c=data, marker=H, linewidths=0., vmin=vmin, vmax=vmax)
|
|---|
| 218 | self.figure.colorbar( result, shrink=0.8, pad=-0.04 )
|
|---|
| 219 | plt.draw()
|
|---|
| 220 |
|
|---|
| 221 | elif data.ndim == 2 and data.shape[0] == 2 and data.shape[1] <=1440:
|
|---|
| 222 | # I assume the first row of data, contains the CHIDs
|
|---|
| 223 | # and the 2nd row contains the actual data.
|
|---|
| 224 | chids = data[0]
|
|---|
| 225 | # check if there are double chids in chids
|
|---|
| 226 | if len(chids)!=len(set(chids)):
|
|---|
| 227 | print 'warning: there are doubled chids in input data',
|
|---|
| 228 | print 'you might want to plot something else, but I plot it anyway...'
|
|---|
| 229 | print chids
|
|---|
| 230 | data = data[1]
|
|---|
| 231 | # now I have to mask the xe, and ye vectors accordingly
|
|---|
| 232 | mxe = np.empty( len(chids) )
|
|---|
| 233 | mye = np.empty( len(chids) )
|
|---|
| 234 | for i,chid in enumerate(chids):
|
|---|
| 235 | mxe[i] = xe[chid]
|
|---|
| 236 | mye[i] = ye[chid]
|
|---|
| 237 |
|
|---|
| 238 | # check if I did it right
|
|---|
| 239 | if len(mxe)!=len(data) or len(mye)!=len(data):
|
|---|
| 240 | print 'the masking did not work:'
|
|---|
| 241 | print 'len(mxe)', len(mxe)
|
|---|
| 242 | print 'len(mye)', len(mye)
|
|---|
| 243 | print 'len(data)', len(data)
|
|---|
| 244 |
|
|---|
| 245 | self.ax.axis([-22,22,-22,22])
|
|---|
| 246 | self.ax.set_title(name)
|
|---|
| 247 | self.ax.grid(grid)
|
|---|
| 248 | # the next line is a stupid hack
|
|---|
| 249 | # I plot invisible pixels, so that the axes show look ok.
|
|---|
| 250 | # this must be possible differently, but I don't know how...
|
|---|
| 251 | self.ax.scatter(xe,ye,s=25,alpha=0,marker=H)
|
|---|
| 252 |
|
|---|
| 253 | result = self.ax.scatter(mxe,mye,s=25,alpha=1.,
|
|---|
| 254 | c=data, marker=H, linewidths=0., vmin=vmin, vmax=vmax)
|
|---|
| 255 | self.figure.colorbar( result, shrink=0.8, pad=-0.04 )
|
|---|
| 256 | plt.draw()
|
|---|
| 257 |
|
|---|
| 258 | else:
|
|---|
| 259 | print 'CamPlotter call input data has bad format'
|
|---|
| 260 | print 'data.ndim', data.ndim
|
|---|
| 261 | print 'data.shape', data.shape
|
|---|
| 262 | print 'data:----------------------------------'
|
|---|
| 263 | print data
|
|---|
| 264 |
|
|---|
| 265 |
|
|---|
| 266 |
|
|---|
| 267 |
|
|---|
| 268 | class HistPlotter(object):
|
|---|
| 269 |
|
|---|
| 270 | def __init__(self, name, bins, range, grid=True, ion=True):
|
|---|
| 271 | """ initialize the object """
|
|---|
| 272 | self.bins = bins
|
|---|
| 273 | self.range = range
|
|---|
| 274 | self.name = name
|
|---|
| 275 | self.figure = plt.figure()
|
|---|
| 276 | self.fig_id = self.figure.number
|
|---|
| 277 | self.grid = grid
|
|---|
| 278 |
|
|---|
| 279 | if ion:
|
|---|
| 280 | plt.ion()
|
|---|
| 281 |
|
|---|
| 282 | def __call__(self, ydata, label=None, log=False):
|
|---|
| 283 | plt.figure(self.fig_id)
|
|---|
| 284 | plt.cla()
|
|---|
| 285 |
|
|---|
| 286 | bins = self.bins
|
|---|
| 287 | range = self.range
|
|---|
| 288 | grid = self.grid
|
|---|
| 289 |
|
|---|
| 290 | ydata = np.array(ydata)
|
|---|
| 291 |
|
|---|
| 292 | if ydata.ndim > 1:
|
|---|
| 293 | ydata = ydata.flatten()
|
|---|
| 294 | if label:
|
|---|
| 295 | plt.hist(ydata, bins, range, label=label, log=log)
|
|---|
| 296 | plt.legend()
|
|---|
| 297 | else:
|
|---|
| 298 | plt.hist(ydata, bins, range, log=log)
|
|---|
| 299 |
|
|---|
| 300 | plt.title(self.name)
|
|---|
| 301 |
|
|---|
| 302 | plt.draw()
|
|---|
| 303 |
|
|---|
| 304 | def _test_SimplePlotter():
|
|---|
| 305 | """ test of maintaining two independant plotter instances """
|
|---|
| 306 | plt.ion()
|
|---|
| 307 |
|
|---|
| 308 | x = np.linspace(0., 10.)
|
|---|
| 309 | plot1 = SimplePlotter('plot1', x, 'r')
|
|---|
| 310 | print 'plot1.fig.number: ', plot1.fig.number
|
|---|
| 311 | plot2 = SimplePlotter('plot2', x, 'g.')
|
|---|
| 312 | print 'plot2.fig.number: ', plot2.fig.number
|
|---|
| 313 |
|
|---|
| 314 | plot1(np.sin(x) * 7.)
|
|---|
| 315 | plot2(x*x)
|
|---|
| 316 |
|
|---|
| 317 | raw_input('next')
|
|---|
| 318 |
|
|---|
| 319 | plot1(np.cos(x) * 3.)
|
|---|
| 320 | plot2(x)
|
|---|
| 321 |
|
|---|
| 322 | raw_input('next')
|
|---|
| 323 |
|
|---|
| 324 |
|
|---|
| 325 | def _test_Plotter():
|
|---|
| 326 | """ test of maintaining two independant plotter instances
|
|---|
| 327 | with different examples for init and call
|
|---|
| 328 | """
|
|---|
| 329 | x = np.linspace(0., 2*np.pi , 100)
|
|---|
| 330 | plot1 = Plotter('plot1', x, 'r.:')
|
|---|
| 331 | plot2 = Plotter('plot2')
|
|---|
| 332 |
|
|---|
| 333 | y1 = np.sin(x) * 7
|
|---|
| 334 | plot1(y1)
|
|---|
| 335 |
|
|---|
| 336 | number_of_graphs_in_plot2 = 3
|
|---|
| 337 | no = number_of_graphs_in_plot2 # short form
|
|---|
| 338 |
|
|---|
| 339 | # this is where you do your analysis...
|
|---|
| 340 | y2 = np.empty( (no, len(x)) ) # prepare some space
|
|---|
| 341 | y2_labels = [] # prepare labels
|
|---|
| 342 | for k in range(no):
|
|---|
| 343 | y2[k] = np.sin( (k+1)*x )
|
|---|
| 344 | y2_labels.append('sin(%d*x)' % (k+1) )
|
|---|
| 345 |
|
|---|
| 346 | # plot the result of your analysis
|
|---|
| 347 | plot2(y2, y2_labels)
|
|---|
| 348 | raw_input('next') # do not forget this line, or your graph is lost
|
|---|
| 349 |
|
|---|
| 350 | plot1(np.cos(x) * 3.)
|
|---|
| 351 | plot2.name += ' without labels!!!' # changing titles 'on the fly' is possible
|
|---|
| 352 | plot2(y2)
|
|---|
| 353 | raw_input('next') # DO NOT forget
|
|---|
| 354 |
|
|---|
| 355 |
|
|---|
| 356 | def _test_CamPlotter():
|
|---|
| 357 | """ test of CamPlotter """
|
|---|
| 358 |
|
|---|
| 359 | c1 = np.array(range(20))
|
|---|
| 360 | chids1 = np.empty( len(c1) , dtype=int)
|
|---|
| 361 | for i in range(len(chids1)-2):
|
|---|
| 362 | chids1[i] = np.random.randint(1440)
|
|---|
| 363 | chids1[-1] = 15
|
|---|
| 364 | chids1[-2] = 15
|
|---|
| 365 |
|
|---|
| 366 | c2 = np.linspace(0., 1., num=1440)
|
|---|
| 367 | plot1 = CamPlotter('plot1')
|
|---|
| 368 | plot2 = CamPlotter('plot2')
|
|---|
| 369 |
|
|---|
| 370 | plot1( (chids1,c1) )
|
|---|
| 371 | plot2(c2)
|
|---|
| 372 | raw_input('next')
|
|---|
| 373 |
|
|---|
| 374 | def _test_HistPlotter():
|
|---|
| 375 | """ test of the HistPlotter """
|
|---|
| 376 | plt.ion()
|
|---|
| 377 |
|
|---|
| 378 | data = np.random.randn(1000)
|
|---|
| 379 | hp = HistPlotter('test hist plotter',34, (-5,4))
|
|---|
| 380 |
|
|---|
| 381 | hp(data, 'test-label')
|
|---|
| 382 | raw_input('next')
|
|---|
| 383 |
|
|---|
| 384 | if __name__ == '__main__':
|
|---|
| 385 | """ test the class """
|
|---|
| 386 | print ' testing SimplePlotter'
|
|---|
| 387 | _test_SimplePlotter()
|
|---|
| 388 | print ' testing Plotter'
|
|---|
| 389 | _test_Plotter()
|
|---|
| 390 | print 'testing CamPlotter ... testing what happens if doubled IDs in mask'
|
|---|
| 391 | _test_CamPlotter()
|
|---|
| 392 | print 'testing basic HistPlotter functionality'
|
|---|
| 393 | _test_HistPlotter()
|
|---|
| 394 | |
|---|
