BUG: boxplot fails when one column is all NaNs (original) (raw)

Very much an edge case:

In [17]: df = pd.DataFrame(np.random.randn(100, 4)) In [18]: df.loc[:, 0] = np.nan In [19]: df.plot(kind='box')

ValueError Traceback (most recent call last) in () ----> 1 df.plot(kind='box')

/Users/tom/Envs/py3/lib/python3.4/site-packages/pandas/pandas/tools/plotting.py 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, layout, **kwds) 2362 secondary_y=secondary_y, layout=layout, **kwds) 2363 -> 2364 plot_obj.generate() 2365 plot_obj.draw() 2366 return plot_obj.result

/Users/tom/Envs/py3/lib/python3.4/site-packages/pandas/pandas/tools/plotting.py in generate(self) 913 self._compute_plot_data() 914 self._setup_subplots() --> 915 self._make_plot() 916 self._add_table() 917 self._make_legend()

/Users/tom/Envs/py3/lib/python3.4/site-packages/pandas/pandas/tools/plotting.py in _make_plot(self) 2140 kwds = self.kwds.copy() 2141 -> 2142 ret, bp = plotf(ax, y, column_num=0, **kwds) 2143 self.maybe_color_bp(bp) 2144 self._return_obj = ret

/Users/tom/Envs/py3/lib/python3.4/site-packages/pandas/pandas/tools/plotting.py in plotf(ax, y, column_num, **kwds) 2059 else: 2060 y = remove_na(y) -> 2061 bp = ax.boxplot(y, **kwds) 2062 2063 if self.return_type == 'dict':

/Users/tom/Envs/py3/lib/python3.4/site-packages/matplotlib-1.5.x-py3.4-macosx-10.9-x86_64.egg/matplotlib/axes/_axes.py in boxplot(self, x, notch, sym, vert, whis, positions, widths, patch_artist, bootstrap, usermedians, conf_intervals, meanline, showmeans, showcaps, showbox, showfliers, boxprops, labels, flierprops, medianprops, meanprops, capprops, whiskerprops, manage_xticks) 3043 """ 3044 bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap, -> 3045 labels=labels) 3046 if flierprops is None: 3047 flierprops = dict(sym=sym)

/Users/tom/Envs/py3/lib/python3.4/site-packages/matplotlib-1.5.x-py3.4-macosx-10.9-x86_64.egg/matplotlib/cbook.py in boxplot_stats(X, whis, bootstrap, labels) 1963 1964 # medians and quartiles -> 1965 q1, med, q3 = np.percentile(x, [25, 50, 75]) 1966 1967 # interquartile range

/Users/tom/Envs/py3/lib/python3.4/site-packages/numpy/lib/function_base.py in percentile(a, q, axis, out, overwrite_input) 2818 axis = 0 2819 -> 2820 return _compute_qth_percentile(sorted, q, axis, out) 2821 2822 # handle sequence of q's without calling sort multiple times

/Users/tom/Envs/py3/lib/python3.4/site-packages/numpy/lib/function_base.py in _compute_qth_percentile(sorted, q, axis, out) 2824 if not isscalar(q): 2825 p = [_compute_qth_percentile(sorted, qi, axis, None) -> 2826 for qi in q] 2827 2828 if out is not None:

/Users/tom/Envs/py3/lib/python3.4/site-packages/numpy/lib/function_base.py in (.0) 2824 if not isscalar(q): 2825 p = [_compute_qth_percentile(sorted, qi, axis, None) -> 2826 for qi in q] 2827 2828 if out is not None:

/Users/tom/Envs/py3/lib/python3.4/site-packages/numpy/lib/function_base.py in _compute_qth_percentile(sorted, q, axis, out) 2854 # Use add.reduce in both cases to coerce data type as well as 2855 # check and use out array. -> 2856 return add.reduce(sorted[indexer]*weights, axis=axis, out=out)/sumval 2857 2858 def trapz(y, x=None, dx=1.0, axis=-1):

ValueError: operands could not be broadcast together with shapes (0,) (2,)

Same result for df.boxplot().