# Buggy code
def __init__(
    self,
    data,
    precision=None,
    table_styles=None,
    uuid=None,
    caption=None,
    table_attributes=None,
):
    self.ctx = defaultdict(list)
    self._todo = []

    if not isinstance(data, (pd.Series, pd.DataFrame)):
        raise TypeError
    if data.ndim == 1:
        data = data.to_frame()
    if not data.index.is_unique or not data.columns.is_unique:
        raise ValueError("style is not supported for non-unique indicies.")

    self.data = data
    self.index = data.index
    self.columns = data.columns

    self.uuid = uuid
    self.table_styles = table_styles
    self.caption = caption
    if precision is None:
        precision = pd.options.display.precision
    self.precision = precision
    self.table_attributes = table_attributes


# Traceback (KeyError)
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
/usr/local/lib/python3.5/site-packages/IPython/core/formatters.py in __call__(self, obj)
339             method = _safe_get_formatter_method(obj, self.print_method)
340             if method is not None:
--> 341                 return method()
342             return None
343         else:

/usr/local/lib/python3.5/site-packages/pandas/core/style.py in _repr_html_(self)
158         Hooks into Jupyter notebook rich display system.
159         '''
--> 160         return self.render()
161
162     def _translate(self):

/usr/local/lib/python3.5/site-packages/pandas/core/style.py in render(self)
259         """
260         self._compute()
--> 261         d = self._translate()
262         # filter out empty styles, every cell will have a class
263         # but the list of props may just be [['', '']].

/usr/local/lib/python3.5/site-packages/pandas/core/style.py in _translate(self)
220                 cs = [DATA_CLASS, "row%s" % r, "col%s" % c]
221                 cs.extend(cell_context.get("data", {}).get(r, {}).get(c, []))
--> 222                 row_es.append({"type": "td", "value": self.data.iloc[r][c],
223                                "class": " ".join(cs), "id": "_".join(cs[1:])})
224                 props = []

/usr/local/lib/python3.5/site-packages/pandas/core/series.py in __getitem__(self, key)
555     def __getitem__(self, key):
556         try:
--> 557             result = self.index.get_value(self, key)
558
559             if not np.isscalar(result):

/usr/local/lib/python3.5/site-packages/pandas/core/index.py in get_value(self, series, key)
1788
1789         try:
-> 1790             return self._engine.get_value(s, k)
1791         except KeyError as e1:
1792             if len(self) > 0 and self.inferred_type in ['integer','boolean']:

pandas/index.pyx in pandas.index.IndexEngine.get_value (pandas/index.c:3204)()

pandas/index.pyx in pandas.index.IndexEngine.get_value (pandas/index.c:2903)()

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:3843)()

pandas/hashtable.pyx in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6525)()

pandas/hashtable.pyx in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6463)()

KeyError: 0

# Fixed code
def __init__(
    self,
    data,
    precision=None,
    table_styles=None,
    uuid=None,
    caption=None,
    table_attributes=None,
):
    self.ctx = defaultdict(list)
    self._todo = []

    if not isinstance(data, (pd.Series, pd.DataFrame)):
        raise TypeError
    if data.ndim == 1:
        data = data.to_frame()
    if not data.index.is_unique or not data.columns.is_unique:
        raise ValueError("style is not supported for non-unique indicies.")

    self.data = data
    self.index = data.index
    self.columns = data.columns

    self.uuid = uuid
    self.table_styles = table_styles
    self.caption = caption
    if precision is None:
        precision = pd.options.display.precision
    self.precision = precision
    self.table_attributes = table_attributes
    # display_funcs maps (row, col) -> formatting function

    def default_display_func(x):
        if com.is_float(x):
            return "{:>.{precision}g}".format(x, precision=self.precision)
        else:
            return x

    self._display_funcs = defaultdict(lambda: default_display_func)