- Timestamp:
- 09/20/12 10:20:03 (4 years ago)
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branches/UQ/math/legacy/plot_data.py (modified) (7 diffs)
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branches/UQ/math/legacy/plot_data.py
r563 r564 1 1 #!/usr/bin/env python 2 __doc__ = """ 3 support_hypercube_scenario.py [options] filename datafile 4 5 generate scenario support plots from file written with 'write_support_file' 6 and a dataset file 7 8 The options "bounds", "axes", and "iters" all take indicator strings. 9 The bounds should be given as a quoted list of tuples. For example, using 10 bounds = "[(.062,.125),(0,30),(2300,3200)]" will set the lower and upper bounds 11 for x to be (.062,.125), y to be (0,30), and z to be (2300,3200). Similarly, 12 axes also accepts a quoted list of tuples; however, for axes, the first tuple 13 indicates which parameters are along the x direction, the second tuple for 14 the y direction, and the third tuple for the z direction. Thus, axes = 15 "[(2,3),(6,7),(10,11)]" would set the 2nd and 3rd parameters along x. Iters, 16 however, accepts a list of strings instead of a list of tuples. For example, 17 iters = "[':']" will plot all iters in a single plot. Alternatively, 18 iters = "[':2','2:']" will split the iters into two plots, while 19 iters = "['0']" will only plot the first iteration. 20 21 The option "label" takes a list of strings. For example, label = "['x','y','']" 22 will place 'x' on the x-axis, 'y' on the y-axis, and nothing on the z-axis. 23 LaTeX is also accepted. For example, label = "[r'$ h $',r'$ {\alpha}$',r'$ v$']" 24 will label the axes with standard LaTeX math formatting. Note that the leading 25 space is required, while the trailing space aligns the text with the axis 26 instead of the plot frame. 27 28 Required Inputs: 29 filename name of the python convergence logfile (e.g. paramlog.py) 30 datafile name of the dataset textfile (e.g. StAlDataset.txt) 31 """ 2 32 ZERO = 1.0e-6 # zero-ish 3 33 … … 67 97 68 98 #### plotting the cones #### 69 def plot_cones(ax, data, slope, bounds, color='0.75' ):99 def plot_cones(ax, data, slope, bounds, color='0.75', axis=-1): 70 100 """plot double cones for a given dataset 71 101 … … 75 105 bounds -- list of tuples of bounds for the plot; (lower,upper) for each axis 76 106 color -- string name (or rbg value) of color to use for datapoints 77 """ 107 axis -- the axis of the cone 108 """ 109 # adjust slope, bounds, and data so cone axis is last 110 slope = swap(slope, axis) 111 bounds = swap(bounds, axis) 112 data = [swap(pt,axis) for pt in data] 78 113 cone = cone_builder(slope, bounds) 79 114 # plot the upper and lower cone … … 81 116 _cone = cone(datapt, top=True) 82 117 if _cone: 83 X,Z,Y = _cone118 X,Z,Y = swap(_cone, xs) # 'unswap' the axes 84 119 ax.plot_surface(X, Z,Y, rstride=1, cstride=1, color=color) 85 120 _cone = cone(datapt, top=False) 86 121 if _cone: 87 X,Z,Y = _cone122 X,Z,Y = swap(_cone, xs) # 'unswap' the axes 88 123 ax.plot_surface(X, Z,Y, rstride=1, cstride=1, color=color) 89 124 return ax 90 125 91 def plot_data(ax, data, bounds, color='red' ):126 def plot_data(ax, data, bounds, color='red', axis=-1): 92 127 """plot datapoints for a given dataset 93 128 … … 96 131 bounds -- list of tuples of bounds for the plot; (lower,upper) for each axis 97 132 color -- string name (or rbg value) of color to use for datapoints 133 axis -- the axis of the cone 98 134 """ 99 135 strict = True # always respect the bounds … … 125 161 return ax 126 162 127 def reduce_dimension(axis, coords, values, slope, bounds): 163 def label_axes(ax, labels): 164 """ label plots with given string labels 165 166 ax -- matplotlib 'Axes3D' plot object 167 labels -- list of string labels for the plot 168 """ 169 ax.set_xlabel(labels[0]) 170 ax.set_zlabel(labels[1]) 171 ax.set_ylabel(labels[2]) # cone "center" axis 172 return ax 173 174 def get_coords(data, replace=None): 128 175 """ replace one coordiate axis in a 3-D data set with 'data values' 129 176 (i.e. replace an 'x' axis with the 'y' values of the data) 130 177 131 axis -- selected coordinate axis (an int) to replace with 'y' values 132 coords -- list of datapoint coordinates, where coordinates are 3-tuples 133 values -- list of datapoint values, where values are floats 134 slope -- slope multiplier for cone on the X,Y,Z axes 135 bounds -- list of tuples of bounds for the plot; (lower,upper) for each axis 136 137 NOTE: for the axis indicated by 'axis', replace 138 - selected axis bounds with Y-bounds 139 - selected coords with values 140 - selected slope with 1.0 178 data -- dataset object, where coordinates are 3-tuples and values are floats 179 replace -- selected axis (an int) to plot values NOT coords 141 180 """ 142 if axis not in range(len(bounds[:-1])): # don't replace an axis 143 return coords, slope[:-1], bounds[:-1] 144 xs = axis 145 bounds = bounds[:xs] + bounds[xs+1:] 146 slope = slope[:xs] + slope[xs+1:] 147 coords = [coords[i][:xs] + coords[i][xs+1:] + [values[i]] \ 148 for i in range(len(coords))] 149 return coords, slope, bounds 150 151 152 if __name__ == '__main__': 153 ### FLAGS ############ 154 # get selected data set (filename) 155 # get lower and upper bounds for plot view 156 # get selected (1 or 2) axes to plot #FIXME: need to enable 2-D plots 157 ###################### 158 from legacydata import load_dataset 159 data = load_dataset('StAlDataset.txt') 160 w_lower = [0.0]; Y_lower = [0.0] 161 w_upper = [1.0]; Y_upper = [40.0] # was 100 162 h_lower = [0.062]; a_lower = [0.0]; v_lower = [2300.0] 163 h_upper = [0.125]; a_upper = [30.0]; v_upper = [3200.0] 164 axis_to_replace = xs = 0 #XXX: select axis NOT to plot here 165 166 # temporarily 'inflate' bounds and slopes to include values 167 lb = h_lower + a_lower + v_lower + Y_lower 168 ub = h_upper + a_upper + v_upper + Y_upper 169 bounds = zip(lb,ub) 170 slope = data.lipschitz + [1.0] 181 slope = data.lipschitz 171 182 coords = data.coords 172 183 values = data.values 173 # replace selected coords axis; 'reduce' the size of bounds and slopes 174 coords, slope, bounds = reduce_dimension(xs, coords, values, slope, bounds) 175 184 if replace not in range(len(slope)): # don't replace an axis 185 return coords, slope 186 slope = slope[:replace] + [1.0] + slope[replace+1:] 187 coords = [coords[i][:replace] + [values[i]] + coords[i][replace+1:] \ 188 for i in range(len(coords))] 189 return coords, slope 190 191 def reduce(alist, axis=-1): 192 """ reduce a n-member list to a (n-1)-member list 193 194 alist -- a list 195 axis -- selected member (an int) to remove 196 """ 197 if axis not in range(len(alist[:-1])): # reduce the last axis 198 return alist[:-1] 199 return alist[:axis] + alist[axis+1:] 200 201 def swap(alist, axis=-1): 202 if axis not in range(len(alist)): # don't swap an axis 203 return alist 204 return alist[:axis] + alist[axis+1:] + alist[axis:axis+1] 205 206 207 if __name__ == '__main__': 208 #FIXME: need to enable 2-D plots 209 210 #XXX: note that 'argparse' is new as of python2.7 211 from optparse import OptionParser 212 parser = OptionParser(usage=__doc__) 213 parser.add_option("-b","--bounds",action="store",dest="bounds",\ 214 metavar="STR",default="[(0,1),(0,1),(0,1)]", 215 help="indicator string to set hypercube bounds") 216 # parser.add_option("-x","--axes",action="store",dest="xyz",\ 217 # metavar="STR",default="[(0,),(1,),(2,)]", 218 # help="indicator string to assign parameter to axis") 219 parser.add_option("-l","--label",action="store",dest="label",\ 220 metavar="STR",default="['','','']", 221 help="string to assign label to axis") 222 parser.add_option("-r","--replace",action="store",dest="replace",\ 223 metavar="INT",default=None, 224 help="id # of axis to plot values NOT coords") 225 parsed_opts, parsed_args = parser.parse_args() 226 227 # try: # get the name of the parameter log file 228 # file = parsed_args[0] 229 # import re 230 # file = re.sub('\.py*.$', '', file) #XXX: strip off .py* extension 231 # except: 232 # raise IOError, "please provide log file name" 233 # try: # read standard logfile 234 # from mystic.munge import logfile_reader, raw_to_support 235 # _step, params, _cost = logfile_reader(file) 236 # params, _cost = raw_to_support(params, _cost) 237 # except: 238 # exec "from %s import params" % file 239 # #exec "from %s import meta" % file 240 # # would be nice to use meta = ['wx','wx2','x','x2','wy',...] 241 242 try: # get the name of the dataset file 243 file = parsed_args[0] 244 from legacydata import load_dataset 245 data = load_dataset(file) 246 except: 247 raise IOError, "please provide dataset file name" 248 249 try: # select the bounds 250 bounds = eval(parsed_opts.bounds) # format is "[(60,105),(0,30),(2.1,2.8)]" 251 except: 252 bounds = [(0,1),(0,1),(0,1)] 253 254 try: # select labels for the axes 255 label = eval(parsed_opts.label) # format is "['x','y','z']" 256 except: 257 label = ['','',''] 258 259 try: # select which axis to plot 'values' on 260 xs = int(parsed_opts.replace) 261 except: 262 xs = None # don't plot values; plot values on 'x' axis with xs = 0 263 264 # ensure all terms of bounds and xyz are tuples 265 for bound in bounds: 266 if not isinstance(bound, tuple): 267 raise TypeError, "bounds should be tuples of (lower_bound,upper_bound)" 268 # for i in range(len(xyz)): 269 # if isinstance(xyz[i], int): 270 # xyz[i] = (xyz[i],) 271 # elif not isinstance(xyz[i], tuple): 272 # raise TypeError, "xyz should be tuples of (param1,param2,param3,...)" 273 274 # get coords (and values) for selected axes 275 coords, slope = get_coords(data, xs) #FIXME: requires Y-value to be last 176 276 print "bounds: %s" % bounds 177 277 print "slope: %s" % slope 178 278 #print "coords: %s" % coords 279 280 # use the default bounds where not specified 281 bounds = [list(i) for i in bounds] 282 for i in range(len(bounds)): 283 if bounds[i][0] is None: bounds[i][0] = 0 284 if bounds[i][1] is None: bounds[i][1] = 1 179 285 180 286 import matplotlib … … 184 290 ax = Axes3D(fig)#,aspect='equal') 185 291 if xs in range(len(bounds)): # we are replacing an axis 186 plot_cones(ax, coords, slope, bounds )187 plot_data(ax, coords, bounds )292 plot_cones(ax, coords, slope, bounds, axis=xs) 293 plot_data(ax, coords, bounds, axis=xs) 188 294 #clip_axes(ax, bounds) 295 label_axes(ax, label) 189 296 plt.show() 190 297
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