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celinelee
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python_fn_calls

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key.nonzero()
self.take(indexer, axis=0, convert=False)
self.ix._convert_to_indexer(key, axis=1)
self.take(indexer, axis=1, convert=True)
_getitem_multilevel(self, key)
self.columns.get_loc(key)
isinstance(loc, (slice, Series, np.ndarray, Index)
maybe_droplevels(new_columns, key)
self.reindex(columns=new_columns)
__finalize__(self)
len(result.columns)
if ((type(top)
or (type(top)
isinstance(result, Series)
Series(result, index=self.index, name=key)
result._set_is_copy(self)
self._get_item_cache(key)
_getitem_frame(self, key)
ValueError('Must pass DataFrame with boolean values only')
self.where(key)
query(self, expr, **kwargs)
key (e.g., a DataFrame)
DataFrame(randn(10, 2)
list('ab')
df.query('a > b')
kwargs.pop('level', 0)
self.eval(expr, **kwargs)
eval(self, expr, **kwargs)
DataFrame(randn(10, 2)
list('ab')
df.eval('a + b')
df.eval('c = a + b')
kwargs.pop('resolvers', None)
kwargs.pop('level', 0)
self._get_index_resolvers()
dict(self.iteritems()
kwargs.get('resolvers', ()
_eval(expr, **kwargs)
select_dtypes(self, include=None, exclude=None)
pd.DataFrame({'a': np.random.randn(6)
astype('f4')
df.select_dtypes(include=['float64'])
df.select_dtypes(exclude=['floating'])
or ()
or ()
not (com.is_list_like(include)
com.is_list_like(exclude)
tuple(map(frozenset, (include, exclude)
any(selection)
frozenset(map(com._get_dtype_from_object, x)
in (include, exclude)
com._invalidate_string_dtypes(dtypes)
include.isdisjoint(exclude)
cases (we've already raised if both are empty)
Series(not bool(include)
Series(not bool(exclude)
is_dtype_instance_mapper(column, dtype)
functools.partial(issubclass, dtype.type)
self.dtypes.iteritems()
any(map(f, include)
any(map(f, exclude)
com._get_info_slice(self, dtype_indexer)
_box_item_values(self, key, values)
self.columns.get_loc(key)
self._constructor(values.T, columns=items, index=self.index)
self._box_col_values(values, items)
_box_col_values(self, values, items)
__setitem__(self, key, value)
convert_to_index_sliceable(self, key)
self._setitem_slice(indexer, value)
isinstance(key, (Series, np.ndarray, list, Index)
self._setitem_array(key, value)
isinstance(key, DataFrame)
self._setitem_frame(key, value)
self._set_item(key, value)
_setitem_slice(self, key, value)
self._check_setitem_copy()
self.ix._setitem_with_indexer(key, value)
_setitem_array(self, key, value)
com.is_bool_indexer(key)
len(key)
len(self.index)
len(key)
len(self.index)
check_bool_indexer(self.index, key)
key.nonzero()
self._check_setitem_copy()
self.ix._setitem_with_indexer(indexer, value)
isinstance(value, DataFrame)
len(value.columns)
len(key)
ValueError('Columns must be same length as key')
zip(key, value.columns)
self.ix._convert_to_indexer(key, axis=1)
self._check_setitem_copy()
self.ix._setitem_with_indexer((slice(None)
_setitem_frame(self, key, value)
TypeError('Must pass DataFrame with boolean values only')
self._check_inplace_setting(value)
self._check_setitem_copy()