code stringlengths 3 6.57k |
|---|
name(s) |
df.sort_index(by=['A', 'B'], ascending=[True, False]) |
self._get_axis_number(axis) |
AssertionError('Axis must be 0 or 1, got %s' % str(axis) |
self._get_axis(axis) |
isinstance(by, list) |
com.is_sequence(ascending) |
len(by) |
len(ascending) |
ValueError('Length of ascending (%d) |
len(ascending) |
len(by) |
len(by) |
trans(v) |
com.needs_i8_conversion(v) |
v.view('i8') |
ValueError('Cannot sort by duplicate column %s' % str(x) |
keys.append(trans(k) |
com._ensure_platform_int(indexer) |
isinstance(self.columns, MultiIndex) |
str(by) |
str(by) |
isinstance(ascending, (tuple, list) |
isinstance(labels, MultiIndex) |
labels.is_lexsorted() |
MultiIndex.from_tuples(labels.values) |
com._ensure_platform_int(indexer) |
self._get_block_manager_axis(axis) |
self._update_inplace(new_data) |
self._constructor(new_data) |
__finalize__(self) |
levels (in order) |
self._get_axis_number(axis) |
self._get_axis(axis) |
isinstance(the_axis, MultiIndex) |
TypeError('can only sort by level with a hierarchical index') |
self.reindex(**{ax: new_axis}) |
self.take(indexer, axis=axis, convert=False) |
self._get_block_manager_axis(axis) |
self._update_inplace(new_data) |
self._constructor(new_data) |
__finalize__(self) |
swaplevel(self, i, j, axis=0) |
string (can be mixed) |
caller (new object) |
self.copy() |
self._get_axis_number(axis) |
result.index.swaplevel(i, j) |
result.columns.swaplevel(i, j) |
reorder_levels(self, order, axis=0) |
number
(position) |
key (label) |
caller (new object) |
self._get_axis_number(axis) |
isinstance(self._get_axis(axis) |
TypeError('Can only reorder levels on a hierarchical axis.') |
self.copy() |
result.index.reorder_levels(order) |
result.columns.reorder_levels(order) |
_combine_frame(self, other, func, fill_value=None, level=None) |
self.align(other, join='outer', level=level, copy=False) |
_arith_op(left, right) |
isnull(left) |
isnull(right) |
left.copy() |
right.copy() |
func(left, right) |
f(col) |
_arith_op(this[col].values, other[col].values) |
dict([(col, f(col) |
f(i) |
f(i) |
enumerate(this.columns) |
self._constructor(result, index=new_index, copy=False) |
_arith_op(this.values, other.values) |
self._get_axis_name(axis) |
self._combine_match_index(other, func, level=level, fill_value=fill_value) |
self._combine_match_columns(other, func, level=level, fill_value=fill_value) |
self._combine_series_infer(other, func, level=level, fill_value=fill_value) |
_combine_series_infer(self, other, func, level=None, fill_value=None) |
len(other) |
len(self) |
self._combine_match_index(other, func, level=level, fill_value=fill_value) |
self._combine_match_columns(other, func, level=level, fill_value=fill_value) |
_combine_match_index(self, other, func, level=None, fill_value=None) |
self.align(other, join='outer', axis=0, level=level, copy=False) |
self._constructor(func(left.values.T, right.values) |
_combine_match_columns(self, other, func, level=None, fill_value=None) |
self.align(other, join='outer', axis=1, level=level, copy=False) |
self._constructor(new_data) |
_combine_const(self, other, func, raise_on_error=True) |
self._data.eval(func=func, other=other, raise_on_error=raise_on_error) |
self._constructor(new_data) |
_compare_frame_evaluate(self, other, func, str_rep) |
_compare(a, b) |
dict([(col, func(a[col], b[col]) |
expressions.evaluate(_compare, str_rep, self, other) |
_compare(a, b) |
dict([(i, func(a.iloc[:, i], b.iloc[:, i]) |
enumerate(a.columns) |
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