code stringlengths 3 6.57k |
|---|
abs(index[indexer] - target) |
reindex(index=other.index, columns=other.columns,...) |
df2.reindex_like(df1) |
self.reindex(**d) |
validate_bool_kwarg(inplace, "inplace") |
ValueError("Cannot specify both 'labels' and 'index'/'columns'") |
self._get_axis_name(axis) |
self._construct_axes_from_arguments((index, columns) |
axes.items() |
obj._drop_axis(labels, axis, level=level, errors=errors) |
self._update_inplace(obj) |
self._get_axis_number(axis) |
self._get_axis_name(axis) |
self._get_axis(axis) |
isinstance(axis, MultiIndex) |
AssertionError("axis must be a MultiIndex") |
axis.drop(labels, level=level, errors=errors) |
axis.drop(labels, errors=errors) |
self.reindex(**{axis_name: new_axis}) |
ensure_object(com.index_labels_to_array(labels) |
isinstance(axis, MultiIndex) |
AssertionError("axis must be a MultiIndex") |
axis.get_level_values(level) |
isin(labels) |
indexer.all() |
KeyError(f"{labels} not found in axis") |
axis.isin(labels) |
axis.get_indexer_for(labels) |
any() |
KeyError(f"{labels} not found in axis") |
slice(None) |
self._get_axis_number(axis_name) |
tuple(slicer) |
_update_inplace(self, result, verify_is_copy: bool_t = True) |
self._reset_cache() |
self._clear_item_cache() |
getattr(result, "_data", result) |
self._maybe_update_cacher(verify_is_copy=verify_is_copy) |
add_prefix(self: FrameOrSeries, prefix: str) |
pd.Series([1, 2, 3, 4]) |
s.add_prefix('item_') |
pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]}) |
df.add_prefix('col_') |
functools.partial("{prefix}{}".format, prefix=prefix) |
self.rename(**mapper) |
add_suffix(self: FrameOrSeries, suffix: str) |
pd.Series([1, 2, 3, 4]) |
s.add_suffix('_item') |
pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]}) |
df.add_suffix('_col') |
functools.partial("{}{suffix}".format, suffix=suffix) |
self.rename(**mapper) |
df.sort_values(by=['col1']) |
df.sort_values(by=['col1', 'col2']) |
df.sort_values(by='col1', ascending=False) |
df.sort_values(by='col1', ascending=False, na_position='first') |
AbstractMethodError(self) |
reindex(self: FrameOrSeries, *args, **kwargs) |
None (default) |
abs(index[indexer] - target) |
df.reindex(new_index) |
df.reindex(new_index, fill_value=0) |
df.reindex(new_index, fill_value='missing') |
df.reindex(columns=['http_status', 'user_agent']) |
df.reindex(['http_status', 'user_agent'], axis="columns") |
pd.date_range('1/1/2010', periods=6, freq='D') |
pd.date_range('12/29/2009', periods=10, freq='D') |
df2.reindex(date_index2) |
frame
(for example, '2009-12-29') |
df2.reindex(date_index2, method='bfill') |
dataframe
(at index value 2010-01-03) |
fillna() |
self._construct_axes_from_arguments(args, kwargs) |
missing.clean_reindex_fill_method(kwargs.pop("method", None) |
kwargs.pop("level", None) |
kwargs.pop("copy", True) |
kwargs.pop("limit", None) |
kwargs.pop("tolerance", None) |
kwargs.pop("fill_value", None) |
kwargs.pop("axis", None) |
reindex() |
list(kwargs.keys() |
self._consolidate_inplace() |
self._get_axis(axis) |
identical(ax) |
axes.items() |
self.copy() |
self._needs_reindex_multi(axes, method, level) |
self._reindex_multi(axes, copy, fill_value) |
__finalize__(self) |
self._get_axis(a) |
self._get_axis_number(a) |
_needs_reindex_multi(self, axes, method, level) |
com.count_not_none(*axes.values() |
_reindex_multi(self, axes, copy, fill_value) |
AbstractMethodError(self) |
sorted(reindexers.keys() |
self._get_block_manager_axis(axis) |
ensure_index(index) |
ensure_int64(indexer) |
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