我一直在关注“数据分析的python”。在第345页,你可以用这段代码来绘制各种股票的回报率。但是,绘图功能对我不起作用。我明白了 FigureCanvasAgg'对象没有属性'invalidate'?
names = ['AAPL','MSFT', 'DELL', 'MS', 'BAC', 'C'] #goog and SF did not work
def get_px(stock, start, end):
return web.get_data_yahoo(stock, start, end)['Adj Close']
px = pd.DataFrame({n: get_px(n, '1/1/2009', '6/1/2012') for n in names})
#fillna method pad uses last valid observation to fill
px = px.asfreq('B').fillna(method='pad')
rets = px.pct_change()
df2 = ((1 + rets).cumprod() - 1)
df2.ix[0] = 1
df2.plot()
更新:完全回溯
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-122-df192c0432be> in <module>()
6 df2.ix[0] = 1
7
----> 8 df2.plot()
//anaconda/lib/python2.7/site-packages/pandas/tools/plotting.pyc in plot_frame(frame, x, y, subplots, sharex, sharey, use_index, figsize, grid, legend, rot, ax, style, title, xlim, ylim, logx, logy, xticks, yticks, kind, sort_columns, fontsize, secondary_y, **kwds)
1634 logy=logy, sort_columns=sort_columns,
1635 secondary_y=secondary_y, **kwds)
-> 1636 plot_obj.generate()
1637 plot_obj.draw()
1638 if subplots:
//anaconda/lib/python2.7/site-packages/pandas/tools/plotting.pyc in generate(self)
854 self._compute_plot_data()
855 self._setup_subplots()
--> 856 self._make_plot()
857 self._post_plot_logic()
858 self._adorn_subplots()
//anaconda/lib/python2.7/site-packages/pandas/tools/plotting.pyc in _make_plot(self)
1238 if not self.x_compat and self.use_index and self._use_dynamic_x():
1239 data = self._maybe_convert_index(self.data)
-> 1240 self._make_ts_plot(data, **self.kwds)
1241 else:
1242 lines = []
//anaconda/lib/python2.7/site-packages/pandas/tools/plotting.pyc in _make_ts_plot(self, data, **kwargs)
1319 self._maybe_add_color(colors, kwds, style, i)
1320
-> 1321 _plot(data[col], i, ax, label, style, **kwds)
1322
1323 self._make_legend(lines, labels)
//anaconda/lib/python2.7/site-packages/pandas/tools/plotting.pyc in _plot(data, col_num, ax, label, style, **kwds)
1293 def _plot(data, col_num, ax, label, style, **kwds):
1294 newlines = tsplot(data, plotf, ax=ax, label=label,
-> 1295 style=style, **kwds)
1296 ax.grid(self.grid)
1297 lines.append(newlines[0])
//anaconda/lib/python2.7/site-packages/pandas/tseries/plotting.pyc in tsplot(series, plotf, **kwargs)
79
80 # set date formatter, locators and rescale limits
---> 81 format_dateaxis(ax, ax.freq)
82 left, right = _get_xlim(ax.get_lines())
83 ax.set_xlim(left, right)
//anaconda/lib/python2.7/site-packages/pandas/tseries/plotting.pyc in format_dateaxis(subplot, freq)
258 subplot.xaxis.set_major_formatter(majformatter)
259 subplot.xaxis.set_minor_formatter(minformatter)
--> 260 pylab.draw_if_interactive()
//anaconda/lib/python2.7/site-packages/IPython/utils/decorators.pyc in wrapper(*args, **kw)
41 def wrapper(*args,**kw):
42 wrapper.called = False
---> 43 out = func(*args,**kw)
44 wrapper.called = True
45 return out
//anaconda/lib/python2.7/site-packages/matplotlib/backends/backend_macosx.pyc in draw_if_interactive()
227 figManager = Gcf.get_active()
228 if figManager is not None:
--> 229 figManager.canvas.invalidate()
230
231
AttributeError: 'FigureCanvasAgg' object has no attribute 'invalidate'
不是答案,但我不知道如何在注释中放置代码块:)
所以我问这个问题是因为我的Mac上也发生了同样的事情
不管怎样,我知道这并不令人满意,但只是关闭了我的ipython笔记本服务,并重新启动清除了它。。。耸肩。。。
我似乎解决了这个问题(至少在我看来是这样)。
我使用Python2.7在mac上运行I python,得到了同样的错误。
当我查看“dock”时,后端似乎确实有问题,已经打开了相当多的Python启动程序实例(但不确定为什么首先会发生这种情况)。
强制关闭它们导致python内核重新启动,似乎已经解决了我的问题。
内联代码仍在适当的位置并且图显示正确。
我发现这个错误是由以下因素造成的:
%matplotlib inline
magic因此,在ipython笔记本中新启动的内核上,以下操作将失败:
解决这个问题的最好方法是将魔法移到顶部:
但是,如果将序列传递给一个
matplotlib
绘图方法,不使用日期索引,或者只是不导入matplotlib.pylab
模块,那么问题也就解决了。相关问题 更多 >
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