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pd.read_html("http://www.camacau.com/changeLang?lang=en_US&url=/statistic_list",infer_types=False,header=0,index_col=0)
yields:
Traceback (most recent call last) <ipython-input-114-a13f8ac8a77b> in <module>() ----> 1 foo2 = pd.read_html("http://www.camacau.com/changeLang?lang=en_US&url=/statistic_list",infer_types=False,header=0,index_col=0) /usr/local/lib/python2.7/dist-packages/pandas/io/html.pyc in read_html(io, match, flavor, header, index_col, skiprows, infer_types, attrs) 904 'data (you passed a negative value)') 905 return _parse(flavor, io, match, header, index_col, skiprows, infer_types, --> 906 attrs) /usr/local/lib/python2.7/dist-packages/pandas/io/html.pyc in _parse(flavor, io, match, header, index_col, skiprows, infer_types, attrs) 776 777 return [_data_to_frame(table, header, index_col, infer_types, skiprows) --> 778 for table in tables] 779 780 /usr/local/lib/python2.7/dist-packages/pandas/io/html.pyc in _data_to_frame(data, header, index_col, infer_types, skiprows) 674 675 # drop by default --> 676 df.set_index(cols, inplace=True) 677 if df.index.nlevels == 1: 678 if isnull(df.index.name) or not df.index.name: /usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in set_index(self, keys, drop, append, inplace, verify_integrity) 2833 arrays.append(level) 2834 -> 2835 index = MultiIndex.from_arrays(arrays, names=names) 2836 2837 if verify_integrity and not index.is_unique: /usr/local/lib/python2.7/dist-packages/pandas/core/index.pyc in from_arrays(cls, arrays, sortorder, names) 1763 if len(arrays) == 1: 1764 name = None if names is None else names[0] -> 1765 return Index(arrays[0], name=name) 1766 1767 cats = [Categorical.from_array(arr) for arr in arrays] /usr/local/lib/python2.7/dist-packages/pandas/core/index.pyc in __new__(cls, data, dtype, copy, name, **kwargs) 108 return Int64Index(data, copy=copy, dtype=dtype, name=name) 109 --> 110 subarr = com._asarray_tuplesafe(data, dtype=object) 111 elif np.isscalar(data): 112 raise ValueError('Index(...) must be called with a collection ' /usr/local/lib/python2.7/dist-packages/pandas/core/common.pyc in _asarray_tuplesafe(values, dtype) 1489 # in numpy, leading to the following 1490 result = np.empty(len(values), dtype=object) -> 1491 result[:] = values 1492 1493 return result ValueError: could not broadcast input array from shape (11,2) into shape (11)
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this is fixed in my refactor ... coming soon
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yields:
The text was updated successfully, but these errors were encountered: