##// END OF EJS Templates
schain
RSS
Optimizacion del driver para matplotlib. Activacion y descativacion del modo interactivo al crear figures y axes
Miguel Valdez -
r244:b2e7e61d8cbe
parent child
Show More
Show file before | Show file after | Hide comments
@@ -1,342 +1,366
1 import numpy
1 import numpy
2 import datetime
2 import datetime
3 import matplotlib
3 import matplotlib
4 matplotlib.use("TKAgg")
4 matplotlib.use("GTKAgg")
5 import matplotlib.pyplot
5 import matplotlib.pyplot
6 import matplotlib.dates
6 import matplotlib.dates
7 #import scitools.numpyutils
7 #import scitools.numpyutils
8 from mpl_toolkits.axes_grid1 import make_axes_locatable
8 from mpl_toolkits.axes_grid1 import make_axes_locatable
9
9
10 from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter
10 from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter
11 from matplotlib.ticker import FuncFormatter
11 from matplotlib.ticker import FuncFormatter
12 from matplotlib.ticker import *
12 from matplotlib.ticker import *
13
13
14 ###########################################
14 ###########################################
15 #Actualizacion de las funciones del driver
15 #Actualizacion de las funciones del driver
16 ###########################################
16 ###########################################
17
17
18 def createFigure(idfigure, wintitle, width, height, facecolor="w"):
18 def createFigure(idfigure, wintitle, width, height, facecolor="w"):
19
19
20 matplotlib.pyplot.ioff()
20 matplotlib.pyplot.ioff()
21 fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor)
21 fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor)
22 fig.canvas.manager.set_window_title(wintitle)
22 fig.canvas.manager.set_window_title(wintitle)
23 fig.canvas.manager.resize(width, height)
23 fig.canvas.manager.resize(width, height)
24 matplotlib.pyplot.ion()
24 matplotlib.pyplot.ion()
25 matplotlib.pyplot.show()
25
26
26 return fig
27 return fig
27
28
28 def closeFigure():
29 def closeFigure():
29
30
30 matplotlib.pyplot.ioff()
31 matplotlib.pyplot.ioff()
31 matplotlib.pyplot.show()
32 matplotlib.pyplot.show()
32
33
33 return
34 return
34
35
35 def saveFigure(fig, filename):
36 def saveFigure(fig, filename):
37
38 matplotlib.pyplot.ioff()
36 fig.savefig(filename)
39 fig.savefig(filename)
40 matplotlib.pyplot.ion()
37
41
38 def setWinTitle(fig, title):
42 def setWinTitle(fig, title):
39
43
40 fig.canvas.manager.set_window_title(title)
44 fig.canvas.manager.set_window_title(title)
41
45
42 def setTitle(fig, title):
46 def setTitle(fig, title):
43
47
44 fig.suptitle(title)
48 fig.suptitle(title)
45
49
46 def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan):
50 def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan):
47
51
52 matplotlib.pyplot.ioff()
48 matplotlib.pyplot.figure(fig.number)
53 matplotlib.pyplot.figure(fig.number)
49 axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
54 axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
50 (xpos, ypos),
55 (xpos, ypos),
51 colspan=colspan,
56 colspan=colspan,
52 rowspan=rowspan)
57 rowspan=rowspan)
58
59 matplotlib.pyplot.ion()
53 return axes
60 return axes
54
61
55 def setAxesText(ax, text):
62 def setAxesText(ax, text):
56
63
57 ax.annotate(text,
64 ax.annotate(text,
58 xy = (.1, .99),
65 xy = (.1, .99),
59 xycoords = 'figure fraction',
66 xycoords = 'figure fraction',
60 horizontalalignment = 'left',
67 horizontalalignment = 'left',
61 verticalalignment = 'top',
68 verticalalignment = 'top',
62 fontsize = 10)
69 fontsize = 10)
63
70
64 def printLabels(ax, xlabel, ylabel, title):
71 def printLabels(ax, xlabel, ylabel, title):
65
72
66 ax.set_xlabel(xlabel, size=11)
73 ax.set_xlabel(xlabel, size=11)
67 ax.set_ylabel(ylabel, size=11)
74 ax.set_ylabel(ylabel, size=11)
68 ax.set_title(title, size=12)
75 ax.set_title(title, size=12)
69
76
70 def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
77 def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
71 ticksize=9, xtick_visible=True, ytick_visible=True,
78 ticksize=9, xtick_visible=True, ytick_visible=True,
72 nxticks=4, nyticks=10,
79 nxticks=4, nyticks=10,
73 grid=None):
80 grid=None):
74
81
75 """
82 """
76
83
77 Input:
84 Input:
78 grid : None, 'both', 'x', 'y'
85 grid : None, 'both', 'x', 'y'
79 """
86 """
80
87
81 ax.plot(x, y)
88 matplotlib.pyplot.ioff()
89
82 ax.set_xlim([xmin,xmax])
90 ax.set_xlim([xmin,xmax])
83 ax.set_ylim([ymin,ymax])
91 ax.set_ylim([ymin,ymax])
84
92
85 printLabels(ax, xlabel, ylabel, title)
93 printLabels(ax, xlabel, ylabel, title)
86
94
87 ######################################################
95 ######################################################
88 if (xmax-xmin)<=1:
96 if (xmax-xmin)<=1:
89 xtickspos = numpy.linspace(xmin,xmax,nxticks)
97 xtickspos = numpy.linspace(xmin,xmax,nxticks)
90 xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
98 xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
91 ax.set_xticks(xtickspos)
99 ax.set_xticks(xtickspos)
92 else:
100 else:
93 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
101 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
94 ax.set_xticks(xtickspos)
102 ax.set_xticks(xtickspos)
95
103
96 for tick in ax.get_xticklabels():
104 for tick in ax.get_xticklabels():
97 tick.set_visible(xtick_visible)
105 tick.set_visible(xtick_visible)
98
106
99 for tick in ax.xaxis.get_major_ticks():
107 for tick in ax.xaxis.get_major_ticks():
100 tick.label.set_fontsize(ticksize)
108 tick.label.set_fontsize(ticksize)
101
109
102 ######################################################
110 ######################################################
103 for tick in ax.get_yticklabels():
111 for tick in ax.get_yticklabels():
104 tick.set_visible(ytick_visible)
112 tick.set_visible(ytick_visible)
105
113
106 for tick in ax.yaxis.get_major_ticks():
114 for tick in ax.yaxis.get_major_ticks():
107 tick.label.set_fontsize(ticksize)
115 tick.label.set_fontsize(ticksize)
108
116
117 ax.plot(x, y)
109 iplot = ax.lines[-1]
118 iplot = ax.lines[-1]
110
119
111 ######################################################
120 ######################################################
112 if '0.' in matplotlib.__version__[0:2]:
121 if '0.' in matplotlib.__version__[0:2]:
113 print "The matplotlib version has to be updated to 1.1 or newer"
122 print "The matplotlib version has to be updated to 1.1 or newer"
114 return iplot
123 return iplot
115
124
116 if '1.0.' in matplotlib.__version__[0:4]:
125 if '1.0.' in matplotlib.__version__[0:4]:
117 print "The matplotlib version has to be updated to 1.1 or newer"
126 print "The matplotlib version has to be updated to 1.1 or newer"
118 return iplot
127 return iplot
119
128
120 if grid != None:
129 if grid != None:
121 ax.grid(b=True, which='major', axis=grid)
130 ax.grid(b=True, which='major', axis=grid)
122
131
123 matplotlib.pyplot.tight_layout()
132 matplotlib.pyplot.tight_layout()
124
133
134 matplotlib.pyplot.ion()
135
125 return iplot
136 return iplot
126
137
138 def set_linedata(ax, x, y, idline):
139
140 ax.lines[idline].set_data(x,y)
141
127 def pline(iplot, x, y, xlabel='', ylabel='', title=''):
142 def pline(iplot, x, y, xlabel='', ylabel='', title=''):
128
143
129 ax = iplot.get_axes()
144 ax = iplot.get_axes()
130
145
131 printLabels(ax, xlabel, ylabel, title)
146 printLabels(ax, xlabel, ylabel, title)
132
147
133 set_linedata(ax, x, y, idline=0)
148 set_linedata(ax, x, y, idline=0)
134
149
135 def addpline(ax, x, y, color, linestyle, lw):
150 def addpline(ax, x, y, color, linestyle, lw):
151
136 ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
152 ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
137
153
138
154
139 def set_linedata(ax, x, y, idline):
155 def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
140 ax.lines[idline].set_data(x,y)
156 xlabel='', ylabel='', title='', ticksize = 9,
157 colormap='jet',cblabel='', cbsize="5%",
158 XAxisAsTime=False):
159
160 matplotlib.pyplot.ioff()
161
162 divider = make_axes_locatable(ax)
163 ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
164 fig = ax.get_figure()
165 fig.add_axes(ax_cb)
166
167 ax.set_xlim([xmin,xmax])
168 ax.set_ylim([ymin,ymax])
169
170 printLabels(ax, xlabel, ylabel, title)
171
172 imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
173 cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
174 cb.set_label(cblabel)
175
176 # for tl in ax_cb.get_yticklabels():
177 # tl.set_visible(True)
178
179 for tick in ax.yaxis.get_major_ticks():
180 tick.label.set_fontsize(ticksize)
181
182 for tick in ax.xaxis.get_major_ticks():
183 tick.label.set_fontsize(ticksize)
184
185 for tick in cb.ax.get_yticklabels():
186 tick.set_fontsize(ticksize)
187
188 ax_cb.yaxis.tick_right()
189
190 if '0.' in matplotlib.__version__[0:2]:
191 print "The matplotlib version has to be updated to 1.1 or newer"
192 return imesh
193
194 if '1.0.' in matplotlib.__version__[0:4]:
195 print "The matplotlib version has to be updated to 1.1 or newer"
196 return imesh
197
198 matplotlib.pyplot.tight_layout()
199
200 if XAxisAsTime:
201
202 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
203 ax.xaxis.set_major_formatter(FuncFormatter(func))
204 ax.xaxis.set_major_locator(LinearLocator(7))
205
206 matplotlib.pyplot.ion()
207 return imesh
208
209 def pcolor(imesh, z, xlabel='', ylabel='', title=''):
210
211 z = z.T
212
213 ax = imesh.get_axes()
214
215 printLabels(ax, xlabel, ylabel, title)
216
217 imesh.set_array(z.ravel())
218
219 def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
220
221 printLabels(ax, xlabel, ylabel, title)
222
223 imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
141
224
142 def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
225 def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
143 ticksize=9, xtick_visible=True, ytick_visible=True,
226 ticksize=9, xtick_visible=True, ytick_visible=True,
144 nxticks=4, nyticks=10,
227 nxticks=4, nyticks=10,
145 grid=None):
228 grid=None):
146
229
147 """
230 """
148
231
149 Input:
232 Input:
150 grid : None, 'both', 'x', 'y'
233 grid : None, 'both', 'x', 'y'
151 """
234 """
152
235
236 matplotlib.pyplot.ioff()
237
153 lines = ax.plot(x.T, y)
238 lines = ax.plot(x.T, y)
154 leg = ax.legend(lines, legendlabels, loc='upper right')
239 leg = ax.legend(lines, legendlabels, loc='upper right')
155 leg.get_frame().set_alpha(0.5)
240 leg.get_frame().set_alpha(0.5)
156 ax.set_xlim([xmin,xmax])
241 ax.set_xlim([xmin,xmax])
157 ax.set_ylim([ymin,ymax])
242 ax.set_ylim([ymin,ymax])
158 printLabels(ax, xlabel, ylabel, title)
243 printLabels(ax, xlabel, ylabel, title)
159
244
160 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
245 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
161 ax.set_xticks(xtickspos)
246 ax.set_xticks(xtickspos)
162
247
163 for tick in ax.get_xticklabels():
248 for tick in ax.get_xticklabels():
164 tick.set_visible(xtick_visible)
249 tick.set_visible(xtick_visible)
165
250
166 for tick in ax.xaxis.get_major_ticks():
251 for tick in ax.xaxis.get_major_ticks():
167 tick.label.set_fontsize(ticksize)
252 tick.label.set_fontsize(ticksize)
168
253
169 for tick in ax.get_yticklabels():
254 for tick in ax.get_yticklabels():
170 tick.set_visible(ytick_visible)
255 tick.set_visible(ytick_visible)
171
256
172 for tick in ax.yaxis.get_major_ticks():
257 for tick in ax.yaxis.get_major_ticks():
173 tick.label.set_fontsize(ticksize)
258 tick.label.set_fontsize(ticksize)
174
259
175 iplot = ax.lines[-1]
260 iplot = ax.lines[-1]
176
261
177 if '0.' in matplotlib.__version__[0:2]:
262 if '0.' in matplotlib.__version__[0:2]:
178 print "The matplotlib version has to be updated to 1.1 or newer"
263 print "The matplotlib version has to be updated to 1.1 or newer"
179 return iplot
264 return iplot
180
265
181 if '1.0.' in matplotlib.__version__[0:4]:
266 if '1.0.' in matplotlib.__version__[0:4]:
182 print "The matplotlib version has to be updated to 1.1 or newer"
267 print "The matplotlib version has to be updated to 1.1 or newer"
183 return iplot
268 return iplot
184
269
185 if grid != None:
270 if grid != None:
186 ax.grid(b=True, which='major', axis=grid)
271 ax.grid(b=True, which='major', axis=grid)
187
272
188 matplotlib.pyplot.tight_layout()
273 matplotlib.pyplot.tight_layout()
189
274
275 matplotlib.pyplot.ion()
276
190 return iplot
277 return iplot
191
278
192
279
193 def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
280 def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
194
281
195 ax = iplot.get_axes()
282 ax = iplot.get_axes()
196
283
197 printLabels(ax, xlabel, ylabel, title)
284 printLabels(ax, xlabel, ylabel, title)
198
285
199 for i in range(len(ax.lines)):
286 for i in range(len(ax.lines)):
200 line = ax.lines[i]
287 line = ax.lines[i]
201 line.set_data(x[i,:],y)
288 line.set_data(x[i,:],y)
202
289
203 def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
290 def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
204 ticksize=9, xtick_visible=True, ytick_visible=True,
291 ticksize=9, xtick_visible=True, ytick_visible=True,
205 nxticks=4, nyticks=10, marker='^', markersize=8, linestyle="solid",
292 nxticks=4, nyticks=10, marker='^', markersize=8, linestyle="solid",
206 grid=None, XAxisAsTime=False):
293 grid=None, XAxisAsTime=False):
207
294
208 """
295 """
209
296
210 Input:
297 Input:
211 grid : None, 'both', 'x', 'y'
298 grid : None, 'both', 'x', 'y'
212 """
299 """
213
300
301 matplotlib.pyplot.ioff()
302
214 lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
303 lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
215 leg = ax.legend(lines, legendlabels, bbox_to_anchor=(1.05, 1), loc='upper right', numpoints=1, handlelength=1.5, \
304 leg = ax.legend(lines, legendlabels, bbox_to_anchor=(1.05, 1), loc='upper right', numpoints=1, handlelength=1.5, \
216 handletextpad=0.5, borderpad=0.2, labelspacing=0.2, borderaxespad=0.)
305 handletextpad=0.5, borderpad=0.2, labelspacing=0.2, borderaxespad=0.)
217
306
218 ax.set_xlim([xmin,xmax])
307 ax.set_xlim([xmin,xmax])
219 ax.set_ylim([ymin,ymax])
308 ax.set_ylim([ymin,ymax])
220 printLabels(ax, xlabel, ylabel, title)
309 printLabels(ax, xlabel, ylabel, title)
221
310
222 # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
311 # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
223 # ax.set_xticks(xtickspos)
312 # ax.set_xticks(xtickspos)
224
313
225 for tick in ax.get_xticklabels():
314 for tick in ax.get_xticklabels():
226 tick.set_visible(xtick_visible)
315 tick.set_visible(xtick_visible)
227
316
228 for tick in ax.xaxis.get_major_ticks():
317 for tick in ax.xaxis.get_major_ticks():
229 tick.label.set_fontsize(ticksize)
318 tick.label.set_fontsize(ticksize)
230
319
231 for tick in ax.get_yticklabels():
320 for tick in ax.get_yticklabels():
232 tick.set_visible(ytick_visible)
321 tick.set_visible(ytick_visible)
233
322
234 for tick in ax.yaxis.get_major_ticks():
323 for tick in ax.yaxis.get_major_ticks():
235 tick.label.set_fontsize(ticksize)
324 tick.label.set_fontsize(ticksize)
236
325
237 iplot = ax.lines[-1]
326 iplot = ax.lines[-1]
238
327
239 if '0.' in matplotlib.__version__[0:2]:
328 if '0.' in matplotlib.__version__[0:2]:
240 print "The matplotlib version has to be updated to 1.1 or newer"
329 print "The matplotlib version has to be updated to 1.1 or newer"
241 return iplot
330 return iplot
242
331
243 if '1.0.' in matplotlib.__version__[0:4]:
332 if '1.0.' in matplotlib.__version__[0:4]:
244 print "The matplotlib version has to be updated to 1.1 or newer"
333 print "The matplotlib version has to be updated to 1.1 or newer"
245 return iplot
334 return iplot
246
335
247 if grid != None:
336 if grid != None:
248 ax.grid(b=True, which='major', axis=grid)
337 ax.grid(b=True, which='major', axis=grid)
249
338
250 matplotlib.pyplot.tight_layout()
339 matplotlib.pyplot.tight_layout()
251
340
252 if XAxisAsTime:
341 if XAxisAsTime:
253
342
254 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
343 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
255 ax.xaxis.set_major_formatter(FuncFormatter(func))
344 ax.xaxis.set_major_formatter(FuncFormatter(func))
256 ax.xaxis.set_major_locator(LinearLocator(7))
345 ax.xaxis.set_major_locator(LinearLocator(7))
257
346
347 matplotlib.pyplot.ion()
348
258 return iplot
349 return iplot
259
350
260 def pmultilineinyaxis(iplot, x, y, xlabel='', ylabel='', title=''):
351 def pmultilineinyaxis(iplot, x, y, xlabel='', ylabel='', title=''):
261
352
262 ax = iplot.get_axes()
353 ax = iplot.get_axes()
263
354
264 printLabels(ax, xlabel, ylabel, title)
355 printLabels(ax, xlabel, ylabel, title)
265
356
266 for i in range(len(ax.lines)):
357 for i in range(len(ax.lines)):
267 line = ax.lines[i]
358 line = ax.lines[i]
268 line.set_data(x,y[i,:])
359 line.set_data(x,y[i,:])
269
360
270 def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
271 xlabel='', ylabel='', title='', ticksize = 9,
272 colormap='jet',cblabel='', cbsize="5%",
273 XAxisAsTime=False):
274
275 divider = make_axes_locatable(ax)
276 ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
277 fig = ax.get_figure()
278 fig.add_axes(ax_cb)
279
280 ax.set_xlim([xmin,xmax])
281 ax.set_ylim([ymin,ymax])
282
283 printLabels(ax, xlabel, ylabel, title)
284
285 imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
286 cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
287 cb.set_label(cblabel)
288
289 # for tl in ax_cb.get_yticklabels():
290 # tl.set_visible(True)
291
292 for tick in ax.yaxis.get_major_ticks():
293 tick.label.set_fontsize(ticksize)
294
295 for tick in ax.xaxis.get_major_ticks():
296 tick.label.set_fontsize(ticksize)
297
298 for tick in cb.ax.get_yticklabels():
299 tick.set_fontsize(ticksize)
300
301 ax_cb.yaxis.tick_right()
302
303 if '0.' in matplotlib.__version__[0:2]:
304 print "The matplotlib version has to be updated to 1.1 or newer"
305 return imesh
306
307 if '1.0.' in matplotlib.__version__[0:4]:
308 print "The matplotlib version has to be updated to 1.1 or newer"
309 return imesh
310
311 matplotlib.pyplot.tight_layout()
312
313 if XAxisAsTime:
314
315 func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
316 ax.xaxis.set_major_formatter(FuncFormatter(func))
317 ax.xaxis.set_major_locator(LinearLocator(7))
318
319 return imesh
320
321 def pcolor(imesh, z, xlabel='', ylabel='', title=''):
322
323 z = z.T
324
325 ax = imesh.get_axes()
326
327 printLabels(ax, xlabel, ylabel, title)
328
329 imesh.set_array(z.ravel())
330
331 def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
332
333 printLabels(ax, xlabel, ylabel, title)
334
335 imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
336
337 def draw(fig):
361 def draw(fig):
338
362
339 if type(fig) == 'int':
363 if type(fig) == 'int':
340 raise ValueError, "This parameter should be of tpye matplotlib figure"
364 raise ValueError, "This parameter should be of tpye matplotlib figure"
341
365
342 fig.canvas.draw() No newline at end of file
366 fig.canvas.draw()
General Comments 0
You need to be logged in to leave comments. Login now