我是python / pandas的新手，并尝试使用iris数据集创建一个boxplot。
这是我的代码。：
import pandas as pd
iris_filename = '/Users/pro/Documents/Code/Data Science/Iris/IRIS.csv'
iris = pd.read_csv(iris_filename, header = None,
names= ['sepal_lenght','sepal_width','petal_lenght','petal_width','target'])
plt.boxplot(iris)
我收到此错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-20-e190e88674b0> in <module>()
----> 1 plt.boxplot(iris)
/anaconda/lib/python3.5/site-packages/matplotlib/pyplot.py in boxplot(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, autorange, zorder, hold, data)
2784 whiskerprops=whiskerprops,
2785 manage_xticks=manage_xticks, autorange=autorange,
-> 2786 zorder=zorder, data=data)
2787 finally:
2788 ax._hold = washold
/anaconda/lib/python3.5/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
1890 warnings.warn(msg % (label_namer, func.__name__),
1891 RuntimeWarning, stacklevel=2)
-> 1892 return func(ax, *args, **kwargs)
1893 pre_doc = inner.__doc__
1894 if pre_doc is None:
/anaconda/lib/python3.5/site-packages/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, autorange, zorder)
3266 bootstrap = rcParams['boxplot.bootstrap']
3267 bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
-> 3268 labels=labels, autorange=autorange)
3269 if notch is None:
3270 notch = rcParams['boxplot.notch']
/anaconda/lib/python3.5/site-packages/matplotlib/cbook.py in boxplot_stats(X, whis, bootstrap, labels, autorange)
1984
1985 # convert X to a list of lists
-> 1986 X = _reshape_2D(X)
1987
1988 ncols = len(X)
/anaconda/lib/python3.5/site-packages/matplotlib/cbook.py in _reshape_2D(X)
2245 X = [X.ravel()]
2246 else:
-> 2247 X = [X[:, i] for i in xrange(ncols)]
2248 else:
2249 raise ValueError("input `X` must have 2 or fewer dimensions")
/anaconda/lib/python3.5/site-packages/matplotlib/cbook.py in <listcomp>(.0)
2245 X = [X.ravel()]
2246 else:
-> 2247 X = [X[:, i] for i in xrange(ncols)]
2248 else:
2249 raise ValueError("input `X` must have 2 or fewer dimensions")
/anaconda/lib/python3.5/site-packages/pandas/core/frame.py in __getitem__(self, key)
2057 return self._getitem_multilevel(key)
2058 else:
-> 2059 return self._getitem_column(key)
2060
2061 def _getitem_column(self, key):
/anaconda/lib/python3.5/site-packages/pandas/core/frame.py in _getitem_column(self, key)
2064 # get column
2065 if self.columns.is_unique:
-> 2066 return self._get_item_cache(key)
2067
2068 # duplicate columns & possible reduce dimensionality
/anaconda/lib/python3.5/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
1382 """Return the cached item, item represents a label indexer."""
1383 cache = self._item_cache
-> 1384 res = cache.get(item)
1385 if res is None:
1386 values = self._data.get(item)
TypeError: unhashable type: 'slice'
我在网上搜索了这个，似乎无法找到这个问题的答案。我将不胜感激任何帮助。
答案 0 :(得分：1)